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Using 3D knitting 🧶, scientists have developed soft actuators for extension, contraction, and bending. These motions are useful in applications such as grippers, lifters, and inspection robots like this one 👇 Vanessa Sanchez Wyss Institute Learn more:

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Scientists in Britain have created a soft, jelly-like robot that can rapidly change shape and move when controlled by external electric fields, in what they describe as a step toward more adaptable machines for tasks where rigid robots struggle

Scientists in Britain have created a soft, jelly-like robot that can rapidly change shape and move when controlled by external electric fields, in what they describe as a step toward more adaptable machines for tasks where rigid robots struggle

Reuters

39,965 views • 6 months ago

Researchers have presented Electrofluidic Fiber Muscles: a new class of artificial muscle fibers for robots and wearables. The new electrofluidic fiber muscles — electrically driven actuators built in fiber format — are described in a recent paper published in Science Robotics. The work is led by Media Lab PhD candidate Ozgun Kilic Afsar; Vito Cacucciolo, a professor at the Politecnico di Bari; and four co-authors. Unlike the rigid servo motors used in most robots, these fiber-shaped muscles are soft and flexible. They combine electrohydrodynamic (EHD) fiber pumps — slender tubes that move liquid using electric fields to generate pressure silently, with no moving parts — with fluid-filled fiber actuators. These artificial muscles could enable more agile untethered robots, as well as wearable assistive systems with compact actuation integrated directly into textiles. Video Credit: MIT Media Lab #engineering #technology #robotics #robots

Researchers have presented Electrofluidic Fiber Muscles: a new class of artificial muscle fibers for robots and wearables. The new electrofluidic fiber muscles — electrically driven actuators built in fiber format — are described in a recent paper published in Science Robotics. The work is led by Media Lab PhD candidate Ozgun Kilic Afsar; Vito Cacucciolo, a professor at the Politecnico di Bari; and four co-authors. Unlike the rigid servo motors used in most robots, these fiber-shaped muscles are soft and flexible. They combine electrohydrodynamic (EHD) fiber pumps — slender tubes that move liquid using electric fields to generate pressure silently, with no moving parts — with fluid-filled fiber actuators. These artificial muscles could enable more agile untethered robots, as well as wearable assistive systems with compact actuation integrated directly into textiles. Video Credit: MIT Media Lab #engineering #technology #robotics #robots

Wevolver

10,075 views • 3 months ago

Human Skin developed for Robots by University of Tokyo. It is also self healing. It is uncanny and well you decide. Let see, a 🧵 — Japanese scientists from the University of Tokyo have developed a groundbreaking method to attach living, lab-grown skin to robotic faces, enabling lifelike smiles and facial expressions. It mimics human tissue structures, using collagen-based gels and perforation-type anchors to securely bind the skin to the robot's surface without tearing or peeling during movement. The artificial skin is soft, self-healing, and capable of stretching, paving the way for more realistic humanoid robots. While still in its early stages, this technology has potential applications in robotics, cosmetics, and medical research. This technology will be deployed before most of the world has a chance to understand the implications…

Human Skin developed for Robots by University of Tokyo. It is also self healing. It is uncanny and well you decide. Let see, a 🧵 — Japanese scientists from the University of Tokyo have developed a groundbreaking method to attach living, lab-grown skin to robotic faces, enabling lifelike smiles and facial expressions. It mimics human tissue structures, using collagen-based gels and perforation-type anchors to securely bind the skin to the robot's surface without tearing or peeling during movement. The artificial skin is soft, self-healing, and capable of stretching, paving the way for more realistic humanoid robots. While still in its early stages, this technology has potential applications in robotics, cosmetics, and medical research. This technology will be deployed before most of the world has a chance to understand the implications…

Brian Roemmele

165,655 views • 1 year ago

Robots on solar farms! ☀️ These Luminous robots assist in constructing solar farms, minimizing the need for manual handling of heavy parts. To reduce transport damage, module manufacturers are now using a "vertically stacked" standard, but this makes automation more complex. But these robots can still handle them! 🦾 Since large-format modules are heavy and long, robotic arms must handle the weight, balance the load, and move safely while avoiding collisions and external forces like wind.

Robots on solar farms! ☀️ These Luminous robots assist in constructing solar farms, minimizing the need for manual handling of heavy parts. To reduce transport damage, module manufacturers are now using a "vertically stacked" standard, but this makes automation more complex. But these robots can still handle them! 🦾 Since large-format modules are heavy and long, robotic arms must handle the weight, balance the load, and move safely while avoiding collisions and external forces like wind.

Lukas Ziegler

21,720 views • 1 year ago

NEWS: DeepMind teaches robots to play soccer. In a paper released today Google's DeepMind details how they used Deep Reinforcement Learning (Deep RL) to train low-cost, miniature humanoid robots in dynamic environments, allowing them to play a simplified one-versus-one (1v1) soccer game. The robots, equipped with 20 actuated joints, were initially trained in simulation using the MuJoCo physics engine. Through this training, they learned robust and dynamic movement skills like rapid fall recovery, walking, turning, and kicking. The robots seamlessly transitioned between these skills, even surpassing expectations, and developed a basic strategic understanding of the game. During matches, the trained robots demonstrated agile skills such as turning, kicking moving balls, and dynamic defensive blocking. They quickly combined these skills, showcasing their adaptability and outperforming scripted baselines. The robots walked faster, got up quicker, and kicked faster than their counterparts. Individual skills were first trained in isolation within the simulation environment, and then composed in a self-play setting. The robots successfully transferred these skills to real-world scenarios. Full paper can be found here:

NEWS: DeepMind teaches robots to play soccer. In a paper released today Google's DeepMind details how they used Deep Reinforcement Learning (Deep RL) to train low-cost, miniature humanoid robots in dynamic environments, allowing them to play a simplified one-versus-one (1v1) soccer game. The robots, equipped with 20 actuated joints, were initially trained in simulation using the MuJoCo physics engine. Through this training, they learned robust and dynamic movement skills like rapid fall recovery, walking, turning, and kicking. The robots seamlessly transitioned between these skills, even surpassing expectations, and developed a basic strategic understanding of the game. During matches, the trained robots demonstrated agile skills such as turning, kicking moving balls, and dynamic defensive blocking. They quickly combined these skills, showcasing their adaptability and outperforming scripted baselines. The robots walked faster, got up quicker, and kicked faster than their counterparts. Individual skills were first trained in isolation within the simulation environment, and then composed in a self-play setting. The robots successfully transferred these skills to real-world scenarios. Full paper can be found here:

Dave Lee

372,039 views • 3 years ago

The All-In Podcast discussed Figure's AI breakthrough this week I believe this AI breakthrough was essential to enabling a billion robots on the planet - allowing humans to communicate with them and have them carry out actions Helix, our internal AI model, powers the Figure 02 robot. The robot can now generalize to objects it has never seen before and can semantically plan responses to spoken commands, such as "put the groceries away where you think they should go" It’s important to note: the robot’s actuators are not the limiting factor. Right now, both dexterity and actuator speed are constrained by the software. In fact, the actuators are capable of operating at more than 5x their current speed, but our software is holding them back. Over time, as Helix improves, the robot will ultimately surpass human speeds I like these guys. Looking forward to having Chamath Palihapitiya at Figure HQ to see these robots in action!

The All-In Podcast discussed Figure's AI breakthrough this week I believe this AI breakthrough was essential to enabling a billion robots on the planet - allowing humans to communicate with them and have them carry out actions Helix, our internal AI model, powers the Figure 02 robot. The robot can now generalize to objects it has never seen before and can semantically plan responses to spoken commands, such as "put the groceries away where you think they should go" It’s important to note: the robot’s actuators are not the limiting factor. Right now, both dexterity and actuator speed are constrained by the software. In fact, the actuators are capable of operating at more than 5x their current speed, but our software is holding them back. Over time, as Helix improves, the robot will ultimately surpass human speeds I like these guys. Looking forward to having Chamath Palihapitiya at Figure HQ to see these robots in action!

Brett Adcock

135,378 views • 1 year ago

Robots working arm in arm in labs! 🧪 I know that nowadays (all the humanoids, quadrupeds and fancy mobile manipualtors) such applications no longer generate as much excitement as they used to. However, they are still great applications in a very demanding market, where they serve as a SUPER VALUABLE tool for people from the first day of installation. From chemical plants to biotech labs, much of today’s research still depends on manual labor, often with staff working long hours around hazardous substances. LabBotics and Flexiv Robotics are working to change that with new lab automation platforms. By combining adaptive robots, smart grippers, and advanced vision these systems can take on the work of a lab assistant: performing tasks with consistent precision, and keeping people out of harm’s way. The result is safer labs, higher throughput, and fewer errors. ⛔️

Robots working arm in arm in labs! 🧪 I know that nowadays (all the humanoids, quadrupeds and fancy mobile manipualtors) such applications no longer generate as much excitement as they used to. However, they are still great applications in a very demanding market, where they serve as a SUPER VALUABLE tool for people from the first day of installation. From chemical plants to biotech labs, much of today’s research still depends on manual labor, often with staff working long hours around hazardous substances. LabBotics and Flexiv Robotics are working to change that with new lab automation platforms. By combining adaptive robots, smart grippers, and advanced vision these systems can take on the work of a lab assistant: performing tasks with consistent precision, and keeping people out of harm’s way. The result is safer labs, higher throughput, and fewer errors. ⛔️

Lukas Ziegler

20,413 views • 10 months ago

Real-time Fire and Liquid Simulation 🤯 Achieved using NVIDIA RTX PRO 6000 with 96 GB of VRAM 🤯🤯 Only Nerds like us get why this awesome!! Anybody who worked with 3D softwares knows how hard is it to learn and work with particle simulations in Real-time. Thanks to Dell and JangaFX Software we saw this Demo using the amazing softwares of EmberGen and LiquiGen where newcomers can quickly learn and execute complex simulations in real-time. Best part is you can export these simulations and bring it to your 3D software of choice such as Unreal Engine or Blender 🔶 😎😎

Real-time Fire and Liquid Simulation 🤯 Achieved using NVIDIA RTX PRO 6000 with 96 GB of VRAM 🤯🤯 Only Nerds like us get why this awesome!! Anybody who worked with 3D softwares knows how hard is it to learn and work with particle simulations in Real-time. Thanks to Dell and JangaFX Software we saw this Demo using the amazing softwares of EmberGen and LiquiGen where newcomers can quickly learn and execute complex simulations in real-time. Best part is you can export these simulations and bring it to your 3D software of choice such as Unreal Engine or Blender 🔶 😎😎

Bad Decisions Studio

39,942 views • 11 months ago

ASTORINO is a 6-axis robot built for education not industry -3D printed -easy to repair -programmable in AS-language designed so students can learn by breaking it without consequence most educational robots are -expensive -fragile -dumbeddown toys this one assumes students will make mistakes and builds around that reality Kawasaki Robotics

ASTORINO is a 6-axis robot built for education not industry -3D printed -easy to repair -programmable in AS-language designed so students can learn by breaking it without consequence most educational robots are -expensive -fragile -dumbeddown toys this one assumes students will make mistakes and builds around that reality Kawasaki Robotics

Saint Nomad

22,154 views • 3 months ago

🇮🇷☢️| Imam Khamenei on Nuclear Weapons & 60% HEU “Today, we are at a high level in uranium enrichment. Of course, countries that want to build nuclear weapons raise enrichment to 90% purity. Since we have no need for weapons and have decided against nuclear arms, we have not gone that far. We raised enrichment to 60%, which is very high, a very good figure, and necessary for some of our domestic needs. We have managed to advance this far. Out of more than 200 countries in the world, only 10 have this capability, and the Islamic Republic of Iran is one of them. The other 9 countries all possess nuclear bombs. We are the only one without a nuclear weapon — and we will not have one, since we do not intend to use nuclear weapons. But we do have enrichment and will keep using it. Among these 10 countries, we are considered one of the leaders in this industry. And, as I said, the scientists who laid the foundation for this work not only advanced it greatly but, more importantly, trained many people in this field. Today, in our country there are dozens of distinguished scientists and professors — this is a verified and reliable report given to us by those directly involved — as well as hundreds of researchers and thousands trained in nuclear-related fields who are active right now. Now, they (the enemy) have bombed such and such facilities. That’s an issue. But knowledge cannot be destroyed. Knowledge cannot be wiped out with bombs, threats, or such things. It remains forever.

🇮🇷☢️| Imam Khamenei on Nuclear Weapons & 60% HEU “Today, we are at a high level in uranium enrichment. Of course, countries that want to build nuclear weapons raise enrichment to 90% purity. Since we have no need for weapons and have decided against nuclear arms, we have not gone that far. We raised enrichment to 60%, which is very high, a very good figure, and necessary for some of our domestic needs. We have managed to advance this far. Out of more than 200 countries in the world, only 10 have this capability, and the Islamic Republic of Iran is one of them. The other 9 countries all possess nuclear bombs. We are the only one without a nuclear weapon — and we will not have one, since we do not intend to use nuclear weapons. But we do have enrichment and will keep using it. Among these 10 countries, we are considered one of the leaders in this industry. And, as I said, the scientists who laid the foundation for this work not only advanced it greatly but, more importantly, trained many people in this field. Today, in our country there are dozens of distinguished scientists and professors — this is a verified and reliable report given to us by those directly involved — as well as hundreds of researchers and thousands trained in nuclear-related fields who are active right now. Now, they (the enemy) have bombed such and such facilities. That’s an issue. But knowledge cannot be destroyed. Knowledge cannot be wiped out with bombs, threats, or such things. It remains forever.

Arya - آریا

12,340 views • 10 months ago

Drivable 3D Gaussian Avatars paper page: present Drivable 3D Gaussian Avatars (D3GA), the first 3D controllable model for human bodies rendered with Gaussian splats. Current photorealistic drivable avatars require either accurate 3D registrations during training, dense input images during testing, or both. The ones based on neural radiance fields also tend to be prohibitively slow for telepresence applications. This work uses the recently presented 3D Gaussian Splatting (3DGS) technique to render realistic humans at real-time framerates, using dense calibrated multi-view videos as input. To deform those primitives, we depart from the commonly used point deformation method of linear blend skinning (LBS) and use a classic volumetric deformation method: cage deformations. Given their smaller size, we drive these deformations with joint angles and keypoints, which are more suitable for communication applications. Our experiments on nine subjects with varied body shapes, clothes, and motions obtain higher-quality results than state-of-the-art methods when using the same training and test data.

Drivable 3D Gaussian Avatars paper page: present Drivable 3D Gaussian Avatars (D3GA), the first 3D controllable model for human bodies rendered with Gaussian splats. Current photorealistic drivable avatars require either accurate 3D registrations during training, dense input images during testing, or both. The ones based on neural radiance fields also tend to be prohibitively slow for telepresence applications. This work uses the recently presented 3D Gaussian Splatting (3DGS) technique to render realistic humans at real-time framerates, using dense calibrated multi-view videos as input. To deform those primitives, we depart from the commonly used point deformation method of linear blend skinning (LBS) and use a classic volumetric deformation method: cage deformations. Given their smaller size, we drive these deformations with joint angles and keypoints, which are more suitable for communication applications. Our experiments on nine subjects with varied body shapes, clothes, and motions obtain higher-quality results than state-of-the-art methods when using the same training and test data.

AK

327,105 views • 2 years ago

🚨 This viral bionic humanoid robot company just raised hundreds of millions RMB in funding ,and it may have finally crossed the Uncanny Valley AheadForm, the startup behind those ultra-realistic face robots that have racked up hundreds of millions of views across social media, just closed a massive A1 round. This new funding will accelerate bringing these wildly popular humanoid robots into everyday life. Worth noting: Founder Yuhang Hu's latest paper on realistic lip motions for humanoid face robots has landed on the cover of Science Robotics (Jan 2026 issue). Using self-supervised AI, their robots now generate incredibly natural, continuous lip sync,supporting multiple languages, different speaking speeds, emotions, and even singing. Powered by soft silicone skin and 10+ DoF actuators, gone are the stiff puppet faces. This marks a major leap toward truly empathetic, “alive” human-robot interaction. While factories and warehouses will be filled with heavy duty, rugged humanoids for labor, Companies like AheadForm is building the warm, emotionally intelligent ones for people,the kind that can smile, make eye contact, and create real connection. The future isn’t just efficient. It’s getting warmer.

🚨 This viral bionic humanoid robot company just raised hundreds of millions RMB in funding ,and it may have finally crossed the Uncanny Valley AheadForm, the startup behind those ultra-realistic face robots that have racked up hundreds of millions of views across social media, just closed a massive A1 round. This new funding will accelerate bringing these wildly popular humanoid robots into everyday life. Worth noting: Founder Yuhang Hu's latest paper on realistic lip motions for humanoid face robots has landed on the cover of Science Robotics (Jan 2026 issue). Using self-supervised AI, their robots now generate incredibly natural, continuous lip sync,supporting multiple languages, different speaking speeds, emotions, and even singing. Powered by soft silicone skin and 10+ DoF actuators, gone are the stiff puppet faces. This marks a major leap toward truly empathetic, “alive” human-robot interaction. While factories and warehouses will be filled with heavy duty, rugged humanoids for labor, Companies like AheadForm is building the warm, emotionally intelligent ones for people,the kind that can smile, make eye contact, and create real connection. The future isn’t just efficient. It’s getting warmer.

CyberRobo

112,752 views • 3 months ago

Imagine you can wear sensors! ⌚️ Researchers at the Wyss Institute at Harvard University have developed a novel method for creating flexible wearable sensors by precisely printing stretchable conductive inks and placing electronic components. Soft sensors detect movement by showing changes in electrical conductivity when stretched with conductive materials. 🔌 A programmable microcontroller chip and a readout device enable them to communicate data in a way humans can understand. 📟 This was achieved by combining the printed soft sensors with a digital "pick-and-place" process that programmable places electronic components on a substrate surface by picking them up through an empty printing nozzle. Many applications, including healthcare and sports, can benefit from this. What wearable would you print out?

Imagine you can wear sensors! ⌚️ Researchers at the Wyss Institute at Harvard University have developed a novel method for creating flexible wearable sensors by precisely printing stretchable conductive inks and placing electronic components. Soft sensors detect movement by showing changes in electrical conductivity when stretched with conductive materials. 🔌 A programmable microcontroller chip and a readout device enable them to communicate data in a way humans can understand. 📟 This was achieved by combining the printed soft sensors with a digital "pick-and-place" process that programmable places electronic components on a substrate surface by picking them up through an empty printing nozzle. Many applications, including healthcare and sports, can benefit from this. What wearable would you print out?

Lukas Ziegler

36,507 views • 1 year ago

Ourple Guy's Website REVAMP brings you its 2nd Newsletter, and many teasers like this one! Teasers for even newer content such as secret story tidbits and songs featured in V4 can be found by exploring our site! Keep an eye out for more, and have fun!

Ourple Guy's Website REVAMP brings you its 2nd Newsletter, and many teasers like this one! Teasers for even newer content such as secret story tidbits and songs featured in V4 can be found by exploring our site! Keep an eye out for more, and have fun!

headdzo | Art Comms CLOSED

56,216 views • 7 months ago

I wish we had anatomical models like this one when I was a medical student. Imagine future medical professionals studying anatomy on these without any limitation (such as access to anatomy models or the formaldehyde smell). This highly detailed 3D-printed hand was made by Digital Anatomy Simulations for Healthcare, LLC using Stratasys 3D printers. They can also create dental components, skulls and a range of models for assisting surgeons in preoperative planning too.

I wish we had anatomical models like this one when I was a medical student. Imagine future medical professionals studying anatomy on these without any limitation (such as access to anatomy models or the formaldehyde smell). This highly detailed 3D-printed hand was made by Digital Anatomy Simulations for Healthcare, LLC using Stratasys 3D printers. They can also create dental components, skulls and a range of models for assisting surgeons in preoperative planning too.

Berci Meskó, MD, PhD

13,552 views • 27 days ago

Build robots for a better future! 🚜 The farm-ng Amiga is more than just a farm robot — it’s an open-source development platform for agricultural innovation. Developers can easily build on top of its modular design, and developer-friendly SDK. Let's review other projects that were based on the Amiga robot! → At the Alcorn State University researchers developed a robot that uses UVC light to kill crops, pests, and diseases instead of chemical pesticides. It moves through crop rows using GPS and sensors to apply light precisely without harming plants. Such a cool one! → Another great project at Carnegie Mellon University, where they have developed a robot that plants trees automatically using a three-step process—digging, placing seedlings, and tamping the soil. It uses AI and sensors to navigate and ensure successful planting. → Last but not least, at Penn State University they created a weed-removing robot. This robot detects and removes weeds in high-tunnel farms. It uses cameras to map weed locations and applies precise herbicide amounts. This reduces chemical use, and labor, and improves crop management. As you can see, potential applications in agriculture are plentiful. I encourage you - let's build robots for better and more sustainable farms! Developers unite and build together!

Build robots for a better future! 🚜 The farm-ng Amiga is more than just a farm robot — it’s an open-source development platform for agricultural innovation. Developers can easily build on top of its modular design, and developer-friendly SDK. Let's review other projects that were based on the Amiga robot! → At the Alcorn State University researchers developed a robot that uses UVC light to kill crops, pests, and diseases instead of chemical pesticides. It moves through crop rows using GPS and sensors to apply light precisely without harming plants. Such a cool one! → Another great project at Carnegie Mellon University, where they have developed a robot that plants trees automatically using a three-step process—digging, placing seedlings, and tamping the soil. It uses AI and sensors to navigate and ensure successful planting. → Last but not least, at Penn State University they created a weed-removing robot. This robot detects and removes weeds in high-tunnel farms. It uses cameras to map weed locations and applies precise herbicide amounts. This reduces chemical use, and labor, and improves crop management. As you can see, potential applications in agriculture are plentiful. I encourage you - let's build robots for better and more sustainable farms! Developers unite and build together!

Lukas Ziegler

43,275 views • 1 year ago

Since some were asking about the little one next to the Multicab. This mini one has a collection of Visco Games such as Breakers Revenge and Drift out (19 games in total). I like when these have more than just 2-3 games on them.

Since some were asking about the little one next to the Multicab. This mini one has a collection of Visco Games such as Breakers Revenge and Drift out (19 games in total). I like when these have more than just 2-3 games on them.

Alex Jebailey

11,673 views • 3 months ago

Do you know how the Nobel Prize laureates are selected? Thousands of members of academies, university professors, scientists, previous laureates, members of parliamentary assemblies and others, submit nominations for the Nobel Prizes every year. These nominators have been chosen to ensure that as many countries and universities as possible are represented over time. After a long selection process, the Nobel Prize awarding institutions finally make their choice and announce them in October. Learn more:

Do you know how the Nobel Prize laureates are selected? Thousands of members of academies, university professors, scientists, previous laureates, members of parliamentary assemblies and others, submit nominations for the Nobel Prizes every year. These nominators have been chosen to ensure that as many countries and universities as possible are represented over time. After a long selection process, the Nobel Prize awarding institutions finally make their choice and announce them in October. Learn more:

The Nobel Prize

72,659 views • 9 months ago