Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

We live in an age of miracles. 3D printing and computational geometry make previously unimaginable geometries possible. From: Kazuki Abe, Riichiro Tadakuma & Kenjiro Tadakuma's 2021 paper – ABENICS: Active Ball Joint Mechanism With Three-DoF Based on Spherical Gear Meshings

1517 Fund

22,462 subscribers

285,197 views • 3 months ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

A Breakthrough in Robotics: Spherical Gears Enter Mass Production Spherical gears, the kind of joint that would allow a robot to move like a human shoulder, have been notoriously difficult to manufacture with high precision. That's changing, thanks to a new design and a path to mass production that could have a huge impact on robotics. The breakthrough comes from a new design called the ABENICS spherical gear, developed by researchers at Yamagata University. This innovative mechanism enables a joint to move in three degrees of freedom without the slippage issues of earlier designs. It achieves this by using a "cross-spherical gear" that meshes with one or more "monopole gears." Mass production is now on the horizon. Although the initial manufacturing of the gears was inefficient, Nissei Corporation improved the process and established the necessary technology. The companies Kanematsu and Nissei have now entered the marketing phase, with production expected to begin in 2027. The impact of this technology is significant. Mass-produced spherical gears are expected to enable highly versatile and efficient robotic limbs. ► Humanoid and Mobile Robots: The design allows for compact, high-torque ball joints ideal for creating versatile and efficient robotic limbs. ► Aerospace: Potential applications include deployment mechanisms for satellite solar panels. ► Other Industries: The technology is also being explored for its potential to enhance productivity in healthcare, nursing care, and restaurants.

A Breakthrough in Robotics: Spherical Gears Enter Mass Production Spherical gears, the kind of joint that would allow a robot to move like a human shoulder, have been notoriously difficult to manufacture with high precision. That's changing, thanks to a new design and a path to mass production that could have a huge impact on robotics. The breakthrough comes from a new design called the ABENICS spherical gear, developed by researchers at Yamagata University. This innovative mechanism enables a joint to move in three degrees of freedom without the slippage issues of earlier designs. It achieves this by using a "cross-spherical gear" that meshes with one or more "monopole gears." Mass production is now on the horizon. Although the initial manufacturing of the gears was inefficient, Nissei Corporation improved the process and established the necessary technology. The companies Kanematsu and Nissei have now entered the marketing phase, with production expected to begin in 2027. The impact of this technology is significant. Mass-produced spherical gears are expected to enable highly versatile and efficient robotic limbs. ► Humanoid and Mobile Robots: The design allows for compact, high-torque ball joints ideal for creating versatile and efficient robotic limbs. ► Aerospace: Potential applications include deployment mechanisms for satellite solar panels. ► Other Industries: The technology is also being explored for its potential to enhance productivity in healthcare, nursing care, and restaurants.

RoboHub🤖

384,888 views • 11 months ago

GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views TL;DR: Are we witnessing the first steps towards 3DGS live streaming? Contributions: • We introduce a generalizable 3D Gaussian Splatting methodology that employs pixel-wise Gaussian parameter maps defined on 2D source image planes to formulate 3D Gaussians in a feed-forward manner. • We propose a fully differentiable framework composed of an iterative depth estimation module and a Gaussian parameter regression module. The intermediate depth prediction bridges the two components and allows them to benefit from joint training. • We introduce a regularization term and an epipolar attention mechanism to preserve geometry consistency between the two source views when using only rendering loss. Our method generalizes well to unseen characters even in complicated scenes. • We develop a real-time FVV system that achieves high-resolution rendering of characters in the scene without any geometry supervision.

GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views TL;DR: Are we witnessing the first steps towards 3DGS live streaming? Contributions: • We introduce a generalizable 3D Gaussian Splatting methodology that employs pixel-wise Gaussian parameter maps defined on 2D source image planes to formulate 3D Gaussians in a feed-forward manner. • We propose a fully differentiable framework composed of an iterative depth estimation module and a Gaussian parameter regression module. The intermediate depth prediction bridges the two components and allows them to benefit from joint training. • We introduce a regularization term and an epipolar attention mechanism to preserve geometry consistency between the two source views when using only rendering loss. Our method generalizes well to unseen characters even in complicated scenes. • We develop a real-time FVV system that achieves high-resolution rendering of characters in the scene without any geometry supervision.

MrNeRF

25,862 views • 1 year ago

Starting the new year without human labeling 🎉!! Multimodal lidar-camera data is a gold mine of dense 3D geometry hiding in plain sight. For supervised pretraining and validation at scale at Torc-Robotics, we rely on fully automated pseudo-labeling pipelines. Exploiting geometric priors from temporally accumulated LiDAR maps and an iterative update rule enforces joint geometric–semantic consistency while detecting moving objects via inconsistencies. We achieve 3D semantic labels and 3D bounding boxes with human-like quality at 200m+ range required for highway driving. Paper: Exciting work with Torc-Robotics with Filippo Ghilotti, Samuel Brucker, Nahku Saidy, Matteo Matteucci, Mario Bijelic.

Starting the new year without human labeling 🎉!! Multimodal lidar-camera data is a gold mine of dense 3D geometry hiding in plain sight. For supervised pretraining and validation at scale at Torc-Robotics, we rely on fully automated pseudo-labeling pipelines. Exploiting geometric priors from temporally accumulated LiDAR maps and an iterative update rule enforces joint geometric–semantic consistency while detecting moving objects via inconsistencies. We achieve 3D semantic labels and 3D bounding boxes with human-like quality at 200m+ range required for highway driving. Paper: Exciting work with Torc-Robotics with Filippo Ghilotti, Samuel Brucker, Nahku Saidy, Matteo Matteucci, Mario Bijelic.

Felix Heide

18,229 views • 8 months ago

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior paper page: present DreamCraft3D, a hierarchical 3D content generation method that produces high-fidelity and coherent 3D objects. We tackle the problem by leveraging a 2D reference image to guide the stages of geometry sculpting and texture boosting. A central focus of this work is to address the consistency issue that existing works encounter. To sculpt geometries that render coherently, we perform score distillation sampling via a view-dependent diffusion model. This 3D prior, alongside several training strategies, prioritizes the geometry consistency but compromises the texture fidelity. We further propose Bootstrapped Score Distillation to specifically boost the texture. We train a personalized diffusion model, Dreambooth, on the augmented renderings of the scene, imbuing it with 3D knowledge of the scene being optimized. The score distillation from this 3D-aware diffusion prior provides view-consistent guidance for the scene. Notably, through an alternating optimization of the diffusion prior and 3D scene representation, we achieve mutually reinforcing improvements: the optimized 3D scene aids in training the scene-specific diffusion model, which offers increasingly view-consistent guidance for 3D optimization. The optimization is thus bootstrapped and leads to substantial texture boosting. With tailored 3D priors throughout the hierarchical generation, DreamCraft3D generates coherent 3D objects with photorealistic renderings, advancing the state-of-the-art in 3D content generation.

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior paper page: present DreamCraft3D, a hierarchical 3D content generation method that produces high-fidelity and coherent 3D objects. We tackle the problem by leveraging a 2D reference image to guide the stages of geometry sculpting and texture boosting. A central focus of this work is to address the consistency issue that existing works encounter. To sculpt geometries that render coherently, we perform score distillation sampling via a view-dependent diffusion model. This 3D prior, alongside several training strategies, prioritizes the geometry consistency but compromises the texture fidelity. We further propose Bootstrapped Score Distillation to specifically boost the texture. We train a personalized diffusion model, Dreambooth, on the augmented renderings of the scene, imbuing it with 3D knowledge of the scene being optimized. The score distillation from this 3D-aware diffusion prior provides view-consistent guidance for the scene. Notably, through an alternating optimization of the diffusion prior and 3D scene representation, we achieve mutually reinforcing improvements: the optimized 3D scene aids in training the scene-specific diffusion model, which offers increasingly view-consistent guidance for 3D optimization. The optimization is thus bootstrapped and leads to substantial texture boosting. With tailored 3D priors throughout the hierarchical generation, DreamCraft3D generates coherent 3D objects with photorealistic renderings, advancing the state-of-the-art in 3D content generation.

AK

161,530 views • 2 years ago

Oncologist Dr. William Makis describes getting attacked by the president of City of Hope cancer centers for publishing success stories using antiparasitics to treat turbo cancers: "These antiparasitics are being heavily attacked and are being suppressed every time I mention ivermectin, mebendazole, [and] fenbendazole. And I have hundreds of success stories...." This clip of Dr. Makis, a radiologist, oncologist, and cancer researcher, is taken from a panel discussion posted to the World Council for Health Rumble channel on November 24, 2025. ---------------Partial transcription of clip---------------- "So these antiparasitics are being heavily attacked, and are being suppressed every time I mention ivermectin, mebendazole, fenbendazole, and I have hundreds of success stories. I get attacked. I get attacked by mainstream doctors and mainstream oncologists. "And just going back to what Kevin McKernan said about this phenomenon of trying to retract papers, get good papers retracted, I've had this happen to me very recently. We published recently a paper on fenbendazole. Three cases of stage four cancer patients who had failed three or four or five lines of chemotherapy, and mainstream oncology regimens. These cancer patients were dying. They took fenbendazole and they became cancer free. And we followed them up, up to three years. They stayed cancer three for up to three years. So we had three cases. We published this paper a few months ago. This was only the second paper published on the antiparasitic fenbendazole in the past five years with human cases. The first one was published by Stanford University in 2021. And so they had published three cases in 2021. We published three cases in 2025. Within a month or two of the publication of our paper. Now it passed peer review and it was published. We were attacked by the editor of the paper, who's actually the president of the City of Hope cancer centers in the United States, in Atlanta, Chicago, and Phoenix. "This was Dr. Maurice [Maurie] Markman, President of City of Hope, so a big time oncologist, with a lot of, you know, big pharma funding behind him. He said he's going to pull the paper. And they didn't have a good reason to pull the paper. In fact, the reason that they were putting was that I was giving, you know, medical advice to other cancer patients with fenbendazole. And so that was some kind of a conflict of interest. And because, you know, that wasn't declared in the way they liked, that they were going to pull the paper. "And so, you know, this is an attack. We're going to see these attacks not just on Kevin McKernan and David Speicher's work in trying to make the link between Covid vaccines and these turbo cancers. But even those of us who are going to try to treat these patients, and help these patients and try to get that work published with antiparasitics and these turbo cancers, we're being attacked, and our papers are being attacked for retraction as well." #Fenbendazole #Ivermectin #Cancercure

Oncologist Dr. William Makis describes getting attacked by the president of City of Hope cancer centers for publishing success stories using antiparasitics to treat turbo cancers: "These antiparasitics are being heavily attacked and are being suppressed every time I mention ivermectin, mebendazole, [and] fenbendazole. And I have hundreds of success stories...." This clip of Dr. Makis, a radiologist, oncologist, and cancer researcher, is taken from a panel discussion posted to the World Council for Health Rumble channel on November 24, 2025. ---------------Partial transcription of clip---------------- "So these antiparasitics are being heavily attacked, and are being suppressed every time I mention ivermectin, mebendazole, fenbendazole, and I have hundreds of success stories. I get attacked. I get attacked by mainstream doctors and mainstream oncologists. "And just going back to what Kevin McKernan said about this phenomenon of trying to retract papers, get good papers retracted, I've had this happen to me very recently. We published recently a paper on fenbendazole. Three cases of stage four cancer patients who had failed three or four or five lines of chemotherapy, and mainstream oncology regimens. These cancer patients were dying. They took fenbendazole and they became cancer free. And we followed them up, up to three years. They stayed cancer three for up to three years. So we had three cases. We published this paper a few months ago. This was only the second paper published on the antiparasitic fenbendazole in the past five years with human cases. The first one was published by Stanford University in 2021. And so they had published three cases in 2021. We published three cases in 2025. Within a month or two of the publication of our paper. Now it passed peer review and it was published. We were attacked by the editor of the paper, who's actually the president of the City of Hope cancer centers in the United States, in Atlanta, Chicago, and Phoenix. "This was Dr. Maurice [Maurie] Markman, President of City of Hope, so a big time oncologist, with a lot of, you know, big pharma funding behind him. He said he's going to pull the paper. And they didn't have a good reason to pull the paper. In fact, the reason that they were putting was that I was giving, you know, medical advice to other cancer patients with fenbendazole. And so that was some kind of a conflict of interest. And because, you know, that wasn't declared in the way they liked, that they were going to pull the paper. "And so, you know, this is an attack. We're going to see these attacks not just on Kevin McKernan and David Speicher's work in trying to make the link between Covid vaccines and these turbo cancers. But even those of us who are going to try to treat these patients, and help these patients and try to get that work published with antiparasitics and these turbo cancers, we're being attacked, and our papers are being attacked for retraction as well." #Fenbendazole #Ivermectin #Cancercure

Joe Tippens

32,159 views • 2 months ago

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization paper page: This work considers gradient-based mesh optimization, where we iteratively optimize for a 3D surface mesh by representing it as the isosurface of a scalar field, an increasingly common paradigm in applications including photogrammetry, generative modeling, and inverse physics. Existing implementations adapt classic isosurface extraction algorithms like Marching Cubes or Dual Contouring; these techniques were designed to extract meshes from fixed, known fields, and in the optimization setting they lack the degrees of freedom to represent high-quality feature-preserving meshes, or suffer from numerical instabilities. We introduce FlexiCubes, an isosurface representation specifically designed for optimizing an unknown mesh with respect to geometric, visual, or even physical objectives. Our main insight is to introduce additional carefully-chosen parameters into the representation, which allow local flexible adjustments to the extracted mesh geometry and connectivity. These parameters are updated along with the underlying scalar field via automatic differentiation when optimizing for a downstream task. We base our extraction scheme on Dual Marching Cubes for improved topological properties, and present extensions to optionally generate tetrahedral and hierarchically-adaptive meshes. Extensive experiments validate FlexiCubes on both synthetic benchmarks and real-world applications, showing that it offers significant improvements in mesh quality and geometric fidelity.

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization paper page: This work considers gradient-based mesh optimization, where we iteratively optimize for a 3D surface mesh by representing it as the isosurface of a scalar field, an increasingly common paradigm in applications including photogrammetry, generative modeling, and inverse physics. Existing implementations adapt classic isosurface extraction algorithms like Marching Cubes or Dual Contouring; these techniques were designed to extract meshes from fixed, known fields, and in the optimization setting they lack the degrees of freedom to represent high-quality feature-preserving meshes, or suffer from numerical instabilities. We introduce FlexiCubes, an isosurface representation specifically designed for optimizing an unknown mesh with respect to geometric, visual, or even physical objectives. Our main insight is to introduce additional carefully-chosen parameters into the representation, which allow local flexible adjustments to the extracted mesh geometry and connectivity. These parameters are updated along with the underlying scalar field via automatic differentiation when optimizing for a downstream task. We base our extraction scheme on Dual Marching Cubes for improved topological properties, and present extensions to optionally generate tetrahedral and hierarchically-adaptive meshes. Extensive experiments validate FlexiCubes on both synthetic benchmarks and real-world applications, showing that it offers significant improvements in mesh quality and geometric fidelity.

AK

38,452 views • 3 years ago

#WATCH | Guwahati | Prime Minister Narendra Modi praised Assam-based startup "Kumbhi Kagaz" by Rupankar Bhattacharjee and Aniket Dhar, in an episode of Mann ki Baat and visited its stall in Advantage Assam 2.0 Co-founder Rupankar Bhattacharjee says, "... We are the only company in India that makes chemical and bleach-free handmade paper from water hyacinth... Our mentor and he is a renowned scientist Jayaditya Purkayastha told us that water hyacinth is a big problem for the wetlands in India and is damaging the wetland ecosystem. He asked us to work on this invasive aquatic weed and make something valuable, which the three of us deliberated upon and found out that the plant has a very good pulp content and can be converted into paper…we have started sampling and selling to other companies. We have a website and we have more than 100 people associated with us and a unit of 16 people working directly with us…In 2023, I got the opportunity to meet the Prime Minister and this time at Advantage Assam 2.0, the Prime Minister visited our stall on February 24 and he spoke to us…As of now the handmade paper industry alone in India is a $2.5 billion market and it will cross $10 billion by 2030 and we want to be a game changer in this..." (01.03.2025)

#WATCH | Guwahati | Prime Minister Narendra Modi praised Assam-based startup "Kumbhi Kagaz" by Rupankar Bhattacharjee and Aniket Dhar, in an episode of Mann ki Baat and visited its stall in Advantage Assam 2.0 Co-founder Rupankar Bhattacharjee says, "... We are the only company in India that makes chemical and bleach-free handmade paper from water hyacinth... Our mentor and he is a renowned scientist Jayaditya Purkayastha told us that water hyacinth is a big problem for the wetlands in India and is damaging the wetland ecosystem. He asked us to work on this invasive aquatic weed and make something valuable, which the three of us deliberated upon and found out that the plant has a very good pulp content and can be converted into paper…we have started sampling and selling to other companies. We have a website and we have more than 100 people associated with us and a unit of 16 people working directly with us…In 2023, I got the opportunity to meet the Prime Minister and this time at Advantage Assam 2.0, the Prime Minister visited our stall on February 24 and he spoke to us…As of now the handmade paper industry alone in India is a $2.5 billion market and it will cross $10 billion by 2030 and we want to be a game changer in this..." (01.03.2025)

ANI

56,322 views • 1 year ago

We are thrilled to share our breakthrough research on "Agile Flight from Pixels without State Estimation," to be presented and live-demonstrated at #RSS2024 next week! You heard well: no state estimation means no explicit visual localization, no SLAM, no VIO, and no IMU! Paper: Video (Narrated): Last year, we demonstrated that #ReinforcementLearning (RL) policies could outperform world-champion drone-racing pilots using the same quadrotor hardware; however, unlike human pilots, these policies continuously estimated an explicit state from known gate positions, the camera feed, and inertial measurements (IMU). In this new work, we tackle the challenge of learning vision-based drone racing using an end-to-end reinforcement learning approach that eliminates the need for IMU data or explicit state estimation. Like professional pilots, we go directly from images to control commands. The training is facilitated by an asymmetric actor-critic with access to privileged information. To overcome the computational complexity during image-based RL training, we use an appropriate sensor representation, which can be efficiently simulated during training without rendering images. We achieve agile flight at speeds up to 40 km/h with accelerations up to 2 g's. Although our demonstration focuses on drone racing, we believe that our method has an impact beyond drone racing and can serve as a foundation for future research into real-world applications in structured environments. Besides the paper presentation, we will also give a live demo next Tuesday and Wednesday between and hrs at TU Delft: Reference: Ismail Geles*, Leonard Bauersfeld*, Angel Romero, Jiaxu Xing, Davide Scaramuzza "Demonstrating Agile Flight from Pixels without State Estimation" Robotics: Science and Systems (RSS), 2024. Kudos to Ismail Geles Leonard Bauersfeld Ángel Romero Jiaxu Xing! University of Zurich UZH Science UZH Space Hub Aerial Core AUTOASSESS European Research Council (ERC)

We are thrilled to share our breakthrough research on "Agile Flight from Pixels without State Estimation," to be presented and live-demonstrated at #RSS2024 next week! You heard well: no state estimation means no explicit visual localization, no SLAM, no VIO, and no IMU! Paper: Video (Narrated): Last year, we demonstrated that #ReinforcementLearning (RL) policies could outperform world-champion drone-racing pilots using the same quadrotor hardware; however, unlike human pilots, these policies continuously estimated an explicit state from known gate positions, the camera feed, and inertial measurements (IMU). In this new work, we tackle the challenge of learning vision-based drone racing using an end-to-end reinforcement learning approach that eliminates the need for IMU data or explicit state estimation. Like professional pilots, we go directly from images to control commands. The training is facilitated by an asymmetric actor-critic with access to privileged information. To overcome the computational complexity during image-based RL training, we use an appropriate sensor representation, which can be efficiently simulated during training without rendering images. We achieve agile flight at speeds up to 40 km/h with accelerations up to 2 g's. Although our demonstration focuses on drone racing, we believe that our method has an impact beyond drone racing and can serve as a foundation for future research into real-world applications in structured environments. Besides the paper presentation, we will also give a live demo next Tuesday and Wednesday between and hrs at TU Delft: Reference: Ismail Geles, Leonard Bauersfeld, Angel Romero, Jiaxu Xing, Davide Scaramuzza "Demonstrating Agile Flight from Pixels without State Estimation" Robotics: Science and Systems (RSS), 2024. Kudos to Ismail Geles Leonard Bauersfeld Ángel Romero Jiaxu Xing! University of Zurich UZH Science UZH Space Hub Aerial Core AUTOASSESS European Research Council (ERC)

Davide Scaramuzza

27,959 views • 2 years ago

🫶【Mechanism Study of the Tesla Optimus Hand Patent】🫶 I built a quick functional mock-up yesterday based on the newly published Tesla Optimus hand patent filings. It looks rough because I wanted to validate the mechanism as quickly as possible, but it is fully functional. What impressed me most is that the interesting part is not just the unusual joint geometry itself. My reading is that the real elegance of this design is in reducing active cable count by using an elastic return / bias element instead of another extensor-side cable, while routing the distal control cable through the proximal joints carefully enough that distal motion remains controllable with reduced unwanted coupling. The rolling-contact style joint also works surprisingly well in practice. What I respect most about these filings is that they do not read like “look at this clever mechanism.” They read like a serious attempt to solve the real problems of a tendon-driven humanoid hand: cable count, routing through multiple joints, manufacturability, and assembly. There is a very strong sense here that the design was pushed not only toward motion, but toward production. This mock-up is simplified for functional reproduction. My prototype uses a single-resin flexure, not the multilayer composite flexible member described in the patent filings, so the extension-side hysteresis is probably not representative of the intended behavior. I also did not fully reproduce the cable-support / control-channel geometry shown in the filings, so some residual inter-joint crosstalk remains in this mock-up. WO2026/080687 A1 WO2026/080690 A1 WO2026/080691 A1 WO2026/080693 A1 WO2026/080701 A1

🫶【Mechanism Study of the Tesla Optimus Hand Patent】🫶 I built a quick functional mock-up yesterday based on the newly published Tesla Optimus hand patent filings. It looks rough because I wanted to validate the mechanism as quickly as possible, but it is fully functional. What impressed me most is that the interesting part is not just the unusual joint geometry itself. My reading is that the real elegance of this design is in reducing active cable count by using an elastic return / bias element instead of another extensor-side cable, while routing the distal control cable through the proximal joints carefully enough that distal motion remains controllable with reduced unwanted coupling. The rolling-contact style joint also works surprisingly well in practice. What I respect most about these filings is that they do not read like “look at this clever mechanism.” They read like a serious attempt to solve the real problems of a tendon-driven humanoid hand: cable count, routing through multiple joints, manufacturability, and assembly. There is a very strong sense here that the design was pushed not only toward motion, but toward production. This mock-up is simplified for functional reproduction. My prototype uses a single-resin flexure, not the multilayer composite flexible member described in the patent filings, so the extension-side hysteresis is probably not representative of the intended behavior. I also did not fully reproduce the cable-support / control-channel geometry shown in the filings, so some residual inter-joint crosstalk remains in this mock-up. WO2026/080687 A1 WO2026/080690 A1 WO2026/080691 A1 WO2026/080693 A1 WO2026/080701 A1

ぷらぎあ

270,117 views • 4 months ago

What if a robotic joint could move in almost any direction? ⚙️🤖 Researchers in Japan developed an innovative active ball joint mechanism that rethinks how machines generate motion. Unlike conventional joints with fixed axes, this design enables highly flexible movement from a compact structure, opening new possibilities for robotics, medical devices, and advanced machinery. Potential applications include: 🔹 Dexterous robotic manipulators 🔹 Surgical and medical systems 🔹 Humanoid robots 🔹 Precision manufacturing equipment 🔹 Next-generation mechanical designs Sometimes the biggest breakthroughs aren't new robots. They're the components that make future robots possible. Could mechanisms like this become the foundation of more human-like robotic movement? 🎥 Media: Yamagata University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #Engineering #Innovation #MechanicalEngineering #RobotDesign #Automation #FutureTech #AdvancedManufacturing #Technology

What if a robotic joint could move in almost any direction? ⚙️🤖 Researchers in Japan developed an innovative active ball joint mechanism that rethinks how machines generate motion. Unlike conventional joints with fixed axes, this design enables highly flexible movement from a compact structure, opening new possibilities for robotics, medical devices, and advanced machinery. Potential applications include: 🔹 Dexterous robotic manipulators 🔹 Surgical and medical systems 🔹 Humanoid robots 🔹 Precision manufacturing equipment 🔹 Next-generation mechanical designs Sometimes the biggest breakthroughs aren't new robots. They're the components that make future robots possible. Could mechanisms like this become the foundation of more human-like robotic movement? 🎥 Media: Yamagata University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #Engineering #Innovation #MechanicalEngineering #RobotDesign #Automation #FutureTech #AdvancedManufacturing #Technology

CTO ROBOTICS Media

28,654 views • 2 months ago

We’re proud to reveal our powerful new in-house 3D printed Hadfield Engine Mk III - 100% designed, manufactured, tested and flown in Canada by NordSpace. With this new version, we are bringing massive improvements to thrust and regenerative cooling as we prepare for our first flight this year and make Canadian history. Seeing this engine come to life after months of painstaking design, analysis, testing, and refinement was a breathtaking moment for the entire NordSpace team. This version of the Hadfield Engine also marks our first engine designed to transition NordSpace from pressure fed systems to turbo pump fed cycles (currently under active development) and very long duration burns. These would be massive leaps forward for Canada’s orbital space launch ambitions and sovereign assured access to space. Our team has developed unique mastery over metal 3D printing complex aerospace components to produce flawless prints like this engine with challenging internal geometries, angles, and features. As for next steps, this engine will be post processed, inspected, and heat treated all in-house, then shipped to our new Darkhorse propulsion test cell at our Canadian Space Research Range. Keep an eye out for some epic hotfire footage coming soon as we turn up the heat and accelerate our pace of development at NordSpace. We’re just getting started! We will have our three generations of the Hadfield Engine and more on display at the inaugural Canadian Space Launch Conference on April 29th in Ottawa. With only a week left to register, join nearly 200 people all playing a role to bring sovereign space launch capabilities to Canada

We’re proud to reveal our powerful new in-house 3D printed Hadfield Engine Mk III - 100% designed, manufactured, tested and flown in Canada by NordSpace. With this new version, we are bringing massive improvements to thrust and regenerative cooling as we prepare for our first flight this year and make Canadian history. Seeing this engine come to life after months of painstaking design, analysis, testing, and refinement was a breathtaking moment for the entire NordSpace team. This version of the Hadfield Engine also marks our first engine designed to transition NordSpace from pressure fed systems to turbo pump fed cycles (currently under active development) and very long duration burns. These would be massive leaps forward for Canada’s orbital space launch ambitions and sovereign assured access to space. Our team has developed unique mastery over metal 3D printing complex aerospace components to produce flawless prints like this engine with challenging internal geometries, angles, and features. As for next steps, this engine will be post processed, inspected, and heat treated all in-house, then shipped to our new Darkhorse propulsion test cell at our Canadian Space Research Range. Keep an eye out for some epic hotfire footage coming soon as we turn up the heat and accelerate our pace of development at NordSpace. We’re just getting started! We will have our three generations of the Hadfield Engine and more on display at the inaugural Canadian Space Launch Conference on April 29th in Ottawa. With only a week left to register, join nearly 200 people all playing a role to bring sovereign space launch capabilities to Canada

NordSpace 🇨🇦

19,655 views • 1 year ago

Beyoncé in her 2021 interview with Harper’s BAZAAR said: One of my favorite quotes is from the inventor Charles Kettering. It goes “Our imagination is the only limit to what we can hope to have in the FUTURE.” Kettering was the founder of Delco, and head of research at General Motors. Key aspects of Futurism were celebrating change, technical progress of the modern machine age, and new technology. Let me refresh everyone’s memory on how Beyoncé worked with Spatial Labs for Ivy Park, incorporating augmented reality. And the CEO of Spatial Labs teased Spatial Labs Music for 2023. In the same interview, she said “My wish for the FUTURE is to continue to do everything everyone thinks I can’t do.” Then she goes on to become the first ever Black woman to oversee the couture offering from an historic Parisian house in 2023. Olivier said that the making of RENAISSANCE COUTURE involved 3D-printing, complex constructions, mathematics, tech and engineering that went into the construction of each piece. And in the British Vogue July 2022 issue, the sheer contrast between Beyoncé sitting on a horse and on a motorcycle [styled like Niobe, played by Jada Pinkett Smith, who appeared in three sequels of The Matrix: Reloaded, Revolutions and Resurrections], hinting at Futurism and this being a 3-act project.

Beyoncé in her 2021 interview with Harper’s BAZAAR said: One of my favorite quotes is from the inventor Charles Kettering. It goes “Our imagination is the only limit to what we can hope to have in the FUTURE.” Kettering was the founder of Delco, and head of research at General Motors. Key aspects of Futurism were celebrating change, technical progress of the modern machine age, and new technology. Let me refresh everyone’s memory on how Beyoncé worked with Spatial Labs for Ivy Park, incorporating augmented reality. And the CEO of Spatial Labs teased Spatial Labs Music for 2023. In the same interview, she said “My wish for the FUTURE is to continue to do everything everyone thinks I can’t do.” Then she goes on to become the first ever Black woman to oversee the couture offering from an historic Parisian house in 2023. Olivier said that the making of RENAISSANCE COUTURE involved 3D-printing, complex constructions, mathematics, tech and engineering that went into the construction of each piece. And in the British Vogue July 2022 issue, the sheer contrast between Beyoncé sitting on a horse and on a motorcycle [styled like Niobe, played by Jada Pinkett Smith, who appeared in three sequels of The Matrix: Reloaded, Revolutions and Resurrections], hinting at Futurism and this being a 3-act project.

🐝

311,499 views • 3 years ago

🚨 New episode of AFTERMATH (my new series) is about Unification of Mathematics & Analytic Psychology. Following Carl Jung, I propose that all mathematical objects & ideas come from archetypes in our Collective Unconscious, so Math is a Portal into the Human Psyche. KEY POINTS: 1. All mathematical objects and ideas (such as perfect lines and planes) are rooted in the shared structural elements of our Collective Unconscious, which Carl Jung called archetypes. These mathematical archetypes produce identical images in our individual minds – explaining why everyone imagines the same idealized mathematical forms; even those forms that don't appear in the outer, physical reality. 2. Similarly to how individuals project their undesired or repressed character traits onto others (manifesting the Jungian archetype of the Shadow), entire societies projected the mathematical archetype of Flat Space onto the surface of the Earth, accepting as an axiom that it was flat. This unconscious belief exemplifies how unintegrated archetypal forces shape our perception of physical reality in the absence of conscious scrutiny. 3. Progress and evolution occur when people recognize and integrate mathematical archetypes, as exemplified by Pythagoreans' insight 2500 years ago that the surface of the Earth might be spherical. Moving from unconscious acceptance to evidence-based inquiry mirrors the process of owning and integrating personal shadow elements. 4. The Enduring Spell of Flat Space: Even though we now realize that Earth is round, most of us still reflexively perceive the Universe as a three-dimensional flat expanse. This unconscious attachment to the archetype of the 3D Flat Space hampers serious consideration of curved or higher-dimensional geometries. When we integrate the archetypes of the 3D Flat Space, the 3D Sphere, and so on, new dimensions of Reality may well open up to us. 5. Brilliant scientists, such as Einstein, Wigner, Weil, Poincaré, and Ramanujan have stressed the essential role of the unconscious (and dream-based) revelations in their work. Such flashes of insight align with Jung's view of archetypes spontaneously emerging from the Collective Unconscious, fueling humanity's creative and mathematical breakthroughs.

🚨 New episode of AFTERMATH (my new series) is about Unification of Mathematics & Analytic Psychology. Following Carl Jung, I propose that all mathematical objects & ideas come from archetypes in our Collective Unconscious, so Math is a Portal into the Human Psyche. KEY POINTS: 1. All mathematical objects and ideas (such as perfect lines and planes) are rooted in the shared structural elements of our Collective Unconscious, which Carl Jung called archetypes. These mathematical archetypes produce identical images in our individual minds – explaining why everyone imagines the same idealized mathematical forms; even those forms that don't appear in the outer, physical reality. 2. Similarly to how individuals project their undesired or repressed character traits onto others (manifesting the Jungian archetype of the Shadow), entire societies projected the mathematical archetype of Flat Space onto the surface of the Earth, accepting as an axiom that it was flat. This unconscious belief exemplifies how unintegrated archetypal forces shape our perception of physical reality in the absence of conscious scrutiny. 3. Progress and evolution occur when people recognize and integrate mathematical archetypes, as exemplified by Pythagoreans' insight 2500 years ago that the surface of the Earth might be spherical. Moving from unconscious acceptance to evidence-based inquiry mirrors the process of owning and integrating personal shadow elements. 4. The Enduring Spell of Flat Space: Even though we now realize that Earth is round, most of us still reflexively perceive the Universe as a three-dimensional flat expanse. This unconscious attachment to the archetype of the 3D Flat Space hampers serious consideration of curved or higher-dimensional geometries. When we integrate the archetypes of the 3D Flat Space, the 3D Sphere, and so on, new dimensions of Reality may well open up to us. 5. Brilliant scientists, such as Einstein, Wigner, Weil, Poincaré, and Ramanujan have stressed the essential role of the unconscious (and dream-based) revelations in their work. Such flashes of insight align with Jung's view of archetypes spontaneously emerging from the Collective Unconscious, fueling humanity's creative and mathematical breakthroughs.

Edward Frenkel

34,344 views • 1 year ago

$FAU Erlangen-Nürnberg presents TRIPS Trilinear Point Splatting for Real-Time Radiance Field Rendering paper page: Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. However, also latest approaches in this domain are not without their shortcomings. 3D Gaussian Splatting [Kerbl and Kopanas et al. 2023] struggles when tasked with rendering highly detailed scenes, due to blurring and cloudy artifacts. On the other hand, ADOP [R\"uckert et al. 2022] can accommodate crisper images, but the neural reconstruction network decreases performance, it grapples with temporal instability and it is unable to effectively address large gaps in the point cloud. In this paper, we present TRIPS (Trilinear Point Splatting), an approach that combines ideas from both Gaussian Splatting and ADOP. The fundamental concept behind our novel technique involves rasterizing points into a screen-space image pyramid, with the selection of the pyramid layer determined by the projected point size. This approach allows rendering arbitrarily large points using a single trilinear write. A lightweight neural network is then used to reconstruct a hole-free image including detail beyond splat resolution. Importantly, our render pipeline is entirely differentiable, allowing for automatic optimization of both point sizes and positions. Our evaluation demonstrate that TRIPS surpasses existing state-of-the-art methods in terms of rendering quality while maintaining a real-time frame rate of 60 frames per second on readily available hardware. This performance extends to challenging scenarios, such as scenes featuring intricate geometry, expansive landscapes, and auto-exposed footage.$

FAU Erlangen-Nürnberg presents TRIPS Trilinear Point Splatting for Real-Time Radiance Field Rendering paper page: Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. However, also latest approaches in this domain are not without their shortcomings. 3D Gaussian Splatting [Kerbl and Kopanas et al. 2023] struggles when tasked with rendering highly detailed scenes, due to blurring and cloudy artifacts. On the other hand, ADOP [R\"uckert et al. 2022] can accommodate crisper images, but the neural reconstruction network decreases performance, it grapples with temporal instability and it is unable to effectively address large gaps in the point cloud. In this paper, we present TRIPS (Trilinear Point Splatting), an approach that combines ideas from both Gaussian Splatting and ADOP. The fundamental concept behind our novel technique involves rasterizing points into a screen-space image pyramid, with the selection of the pyramid layer determined by the projected point size. This approach allows rendering arbitrarily large points using a single trilinear write. A lightweight neural network is then used to reconstruct a hole-free image including detail beyond splat resolution. Importantly, our render pipeline is entirely differentiable, allowing for automatic optimization of both point sizes and positions. Our evaluation demonstrate that TRIPS surpasses existing state-of-the-art methods in terms of rendering quality while maintaining a real-time frame rate of 60 frames per second on readily available hardware. This performance extends to challenging scenarios, such as scenes featuring intricate geometry, expansive landscapes, and auto-exposed footage.

AK

45,489 views • 2 years ago

VeeFriends Comic #10 - Shuffling and Randomization Error To Our VeeFriends Comics Fans & Collectors, After further investigation with our printing and bagging partners, we’ve identified that an error occurred in the shuffling and randomization of VeeFriends Comic #10 – Rare Robot. This was a manufacturing error that did not follow the previously agreed-upon process. Below, you’ll find a note from our manufacturing partner explaining what happened, why it occurred, and the steps being taken to prevent this from happening again. Just as importantly, we want to clearly outline what we’re doing immediately to make this right for our fans and customers. What We’re Doing for Impacted VeeFriends Customers Matching Your Order for Free Customers with orders of 2+ comics made prior to 1/29 at 12PM EST will receive a one-for-one free VeeFriends Comic Book #10 Collectors Pack, based on the quantity of Comic #10 purchased. Ordered 20 Comic #10s? We’re sending you an additional 20 free Comic #10s. These will be shipped free of charge, with processing of new shipments starting Monday, February 2nd and delivered in the coming weeks. Impacted customers can also expect to receive an email directly from VeeFriends on Monday. Customers who only ordered 1 Comic #10 are not eligible for this order match. We take situations like this seriously and remain fully committed to transparency, accountability, and protecting the integrity of our brand and products. Most importantly, we’ll always do our best to take care of our fans and collectors. Thank you for your continued trust and support. — The VeeFriends Team

VeeFriends

10,872 views • 7 months ago

I’m thrilled to announce that we just released GraspGen, a multi-year project we have been cooking at NVIDIA Robotics 🚀 GraspGen: A Diffusion-Based Framework for 6-DOF Grasping Grasping is a foundational challenge in robotics 🤖 — whether for industrial picking or general-purpose humanoids. VLA + real data collection is all the rage now but is expensive and scales poorly for this task. For every new gripper and/or scene, you’ll have to recollect the dataset in this paradigm for the best perf. 💡Key Idea: Since grasping is such a well-defined task in simulation - why can’t we just scale synthetic data generation and train a generative model for grasping? By embracing modularity and standardized grasp formats, we can make this a turnkey technology that works zero-shot for multiple settings. GraspGen is a modular framework for diffusion-based 6-DOF grasp generation that scales across embodiment types, observability conditions, clutter, task complexity. Key Features: ✅ Multi-embodiment support: suction, parallel-jaw, and multi-fingered grippers ✅ Generalization to partial + complete 3D point clouds ✅ Generalization to single-objects + cluttered scenes ✅ Modular design uses other robotics modules and foundation models (SAM2, cuRobo, FoundationStereo, FoundationPose). This allows GraspGen to focus on only one thing - grasp generation ✅ Training recipe: grasp discriminator is trained with On-Generator data from the diffusion model - so that it learns to correct the mistakes (if any) of the diffusion generator ✅ Real-time performance (~20 Hz) before any GPU acceleration; low memory footprint 📊 Results: • SOTA on the FetchBench [Han et al. CoRL 2024] benchmark • Zero-shot sim-to-real transfer on unknown objects and cluttered scenes • Dataset of 53M simulated grasps across 8K objects from Objaverse 📄 arXiv: 🌐 Website: 💻 Code: A huge thank you to everyone involved in this journey — excited to see what the community builds on top of it! Joint work with Clemens Eppner , Balakumar Sundaralingam , Yu-Wei, Jun Yamada Wentao Yuan and other collaborators #robotics #diffusionmodels #physicalAI #simtoreal

I’m thrilled to announce that we just released GraspGen, a multi-year project we have been cooking at NVIDIA Robotics 🚀 GraspGen: A Diffusion-Based Framework for 6-DOF Grasping Grasping is a foundational challenge in robotics 🤖 — whether for industrial picking or general-purpose humanoids. VLA + real data collection is all the rage now but is expensive and scales poorly for this task. For every new gripper and/or scene, you’ll have to recollect the dataset in this paradigm for the best perf. 💡Key Idea: Since grasping is such a well-defined task in simulation - why can’t we just scale synthetic data generation and train a generative model for grasping? By embracing modularity and standardized grasp formats, we can make this a turnkey technology that works zero-shot for multiple settings. GraspGen is a modular framework for diffusion-based 6-DOF grasp generation that scales across embodiment types, observability conditions, clutter, task complexity. Key Features: ✅ Multi-embodiment support: suction, parallel-jaw, and multi-fingered grippers ✅ Generalization to partial + complete 3D point clouds ✅ Generalization to single-objects + cluttered scenes ✅ Modular design uses other robotics modules and foundation models (SAM2, cuRobo, FoundationStereo, FoundationPose). This allows GraspGen to focus on only one thing - grasp generation ✅ Training recipe: grasp discriminator is trained with On-Generator data from the diffusion model - so that it learns to correct the mistakes (if any) of the diffusion generator ✅ Real-time performance (~20 Hz) before any GPU acceleration; low memory footprint 📊 Results: • SOTA on the FetchBench [Han et al. CoRL 2024] benchmark • Zero-shot sim-to-real transfer on unknown objects and cluttered scenes • Dataset of 53M simulated grasps across 8K objects from Objaverse 📄 arXiv: 🌐 Website: 💻 Code: A huge thank you to everyone involved in this journey — excited to see what the community builds on top of it! Joint work with Clemens Eppner , Balakumar Sundaralingam , Yu-Wei, Jun Yamada Wentao Yuan and other collaborators #robotics #diffusionmodels #physicalAI #simtoreal

Adithya Murali

24,106 views • 1 year ago

Historian Johan Norberg says the Golden Age of America was brought by capitalism, by entrepreneurs like Elon Musk He says it socialism takes over, and socialists like Zohran Mamdani keep gaining popularity, America will fall This isn’t just a prediction, it’s based on real world examples “Most people would say if any country is having a golden age, it's the United States. There's more prosperity than ever before, enormous wealth creation, inventions. People care about the environment for the first time in history. But you say golden ages die” “I wouldn't want to live anywhere else in human history than in this point because we have made such remarkable progress when it comes to expanding freedoms, reducing poverty, increasing life expectancy, and so on. But it takes a conscious effort to keep it going. The American experiment is now 250 years almost. Few golden ages live past their 250th birthday. And that's because there are constant challenges, there are constant problems, of course, but there are also these constant tensions where the institutions of freedom and of progress are controversial People often want something else. They want a bigger government to protect them, to create stability and protection. And unfortunately, that then undermines the progress, the innovation that we need to keep golden ages going. So If we want a golden age to keep going, we have to fight for it — One of the most worrying signs in history's you begin to take wealth and comfort for granted. It's just there and give us more of it. And then you forget what made it possible to begin with. And you begin to attack the entrepreneurs and the businesses that create this wealth. And that's an obvious way to undermine your civilization” “That's a lesson of history — You can focus minds, you can decide to double down on the institutions of liberal democracy, free markets, and in that case, you can unleash new waves of innovation and of progress. So there is still time. We can still save this golden age” I did an expert search on AI (included) and asked what’s the best path forward for extending America’s Golden Age, is it capitalism or socialism. I said to take in all historical information to make the decision Basically if we switch to socialism, it’s over. America will fall and it said in great detail why

Historian Johan Norberg says the Golden Age of America was brought by capitalism, by entrepreneurs like Elon Musk He says it socialism takes over, and socialists like Zohran Mamdani keep gaining popularity, America will fall This isn’t just a prediction, it’s based on real world examples “Most people would say if any country is having a golden age, it's the United States. There's more prosperity than ever before, enormous wealth creation, inventions. People care about the environment for the first time in history. But you say golden ages die” “I wouldn't want to live anywhere else in human history than in this point because we have made such remarkable progress when it comes to expanding freedoms, reducing poverty, increasing life expectancy, and so on. But it takes a conscious effort to keep it going. The American experiment is now 250 years almost. Few golden ages live past their 250th birthday. And that's because there are constant challenges, there are constant problems, of course, but there are also these constant tensions where the institutions of freedom and of progress are controversial People often want something else. They want a bigger government to protect them, to create stability and protection. And unfortunately, that then undermines the progress, the innovation that we need to keep golden ages going. So If we want a golden age to keep going, we have to fight for it — One of the most worrying signs in history's you begin to take wealth and comfort for granted. It's just there and give us more of it. And then you forget what made it possible to begin with. And you begin to attack the entrepreneurs and the businesses that create this wealth. And that's an obvious way to undermine your civilization” “That's a lesson of history — You can focus minds, you can decide to double down on the institutions of liberal democracy, free markets, and in that case, you can unleash new waves of innovation and of progress. So there is still time. We can still save this golden age” I did an expert search on AI (included) and asked what’s the best path forward for extending America’s Golden Age, is it capitalism or socialism. I said to take in all historical information to make the decision Basically if we switch to socialism, it’s over. America will fall and it said in great detail why

Wall Street Apes

57,235 views • 1 month ago

Vivek Ramaswamy explains why he believes that socialism is gaining popularity in America “60% of Americans under the age of 29 find socialism to be more attractive than capitalism as the way to organize our economy” “So what's driving that? I think there's 2 things driving it” He believes that costs have gone up a lot faster than wages. He says this is because of the Federal government printing money like crazy and using it on causes that make no sense. Much of it was obviously money laundering “I think that's one thing that's driving the popularity of socialism, is people feel like that American dream is less affordable” He says we have moved away from a society that values hard work and have moved into a welfare state “But there's something deeper going on culturally in the country, too, and I think we have to stand up to combat this, and that is the spread of victimhood culture. We've created a country where you're more rewarded for seeing yourself as a victim than a victor. — We've seen an erosion in the popularity of work, a culture of hard work where Uncle Sam's printing off the money, showering it on you like an addict, right — It’s almost like an addiction problem to an overgrown welfare state that's being defrauded” I think it’s pretty obvious what’s happened - We’ve been absolutely flooded with 10s of millions of illegals who are draining us dry on welfare - Homes prices are completely unaffordable, young people have no chance - We’ve allowed massive corporate monopolies to control everything and skyrocket prices - Taxes are completely out of control, as well as healthcare costs We have gone backwards in every aspect of American life. People cannot afford to live and see no way out

Vivek Ramaswamy explains why he believes that socialism is gaining popularity in America “60% of Americans under the age of 29 find socialism to be more attractive than capitalism as the way to organize our economy” “So what's driving that? I think there's 2 things driving it” He believes that costs have gone up a lot faster than wages. He says this is because of the Federal government printing money like crazy and using it on causes that make no sense. Much of it was obviously money laundering “I think that's one thing that's driving the popularity of socialism, is people feel like that American dream is less affordable” He says we have moved away from a society that values hard work and have moved into a welfare state “But there's something deeper going on culturally in the country, too, and I think we have to stand up to combat this, and that is the spread of victimhood culture. We've created a country where you're more rewarded for seeing yourself as a victim than a victor. — We've seen an erosion in the popularity of work, a culture of hard work where Uncle Sam's printing off the money, showering it on you like an addict, right — It’s almost like an addiction problem to an overgrown welfare state that's being defrauded” I think it’s pretty obvious what’s happened - We’ve been absolutely flooded with 10s of millions of illegals who are draining us dry on welfare - Homes prices are completely unaffordable, young people have no chance - We’ve allowed massive corporate monopolies to control everything and skyrocket prices - Taxes are completely out of control, as well as healthcare costs We have gone backwards in every aspect of American life. People cannot afford to live and see no way out

Wall Street Apes

72,481 views • 17 hours ago