Загрузка видео...

Не удалось загрузить видео

На главную

This guy connected a computer vision model to dual robotic manipulators on his desk and the system now folds shirts in 47 seconds per garment without any human intervention after loading Automated laundry folding is one of those problems that sounds trivial until you realize fabric has no rigid...

browomo's profile picture

Blaze

9,485 subscribers

24,557 просмотров • 1 месяц назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Elon Musk on the possibilities offered by the combination of Optimus and Neuralink: “Long term is to say, if you take parts of the Optimus humanoid robot and you combine that with a Neuralink, let's say somebody has lost their arms or legs. Well, we could actually attach an Optimus arm or Optimus legs and do a Neuralink implant so that the motor commands from your brain that would go to your biological arms, now go to your robot arms or robot legs. And again, you'd have basically Cybernetics Superpowers.”
0:28

Elon Musk on the possibilities offered by the combination of Optimus and Neuralink: “Long term is to say, if you take parts of the Optimus humanoid robot and you combine that with a Neuralink, let's say somebody has lost their arms or legs. Well, we could actually attach an Optimus arm or Optimus legs and do a Neuralink implant so that the motor commands from your brain that would go to your biological arms, now go to your robot arms or robot legs. And again, you'd have basically Cybernetics Superpowers.”

Eva Fo𝕏 🦊 Claudius Nero's Legion

302,112 просмотров • 6 месяцев назад

Robotics and CV! 👓 Computer vision gives the robots a sense of vision and additional intelligence. Pralines are packed by a delta robot using computer vision. Packing chocolate pralines into a box with the delta robot. Unlike most robots, this one has a fixed TCP, and the base moves in response to vision data. To adjust the base, the vision system determines exactly where the praline is located on the conveyor belt. 🍫 Using this application, the system knows where each praline should be placed based on its orientation. A true engineering showcase!
0:36

Robotics and CV! 👓 Computer vision gives the robots a sense of vision and additional intelligence. Pralines are packed by a delta robot using computer vision. Packing chocolate pralines into a box with the delta robot. Unlike most robots, this one has a fixed TCP, and the base moves in response to vision data. To adjust the base, the vision system determines exactly where the praline is located on the conveyor belt. 🍫 Using this application, the system knows where each praline should be placed based on its orientation. A true engineering showcase!

Lukas Ziegler

78,611 просмотров • 1 год назад

This is NASA’s Astrobee, a cube-shaped robot that flies freely inside the ISS to help astronauts with daily tasks. It can move using built-in fans, navigate with vision sensors, and work either on its own or be controlled from Earth. Some versions have robotic arms that can detect and grab objects, and this tech could be used in the future to remove space debris or service satellites.
0:37

This is NASA’s Astrobee, a cube-shaped robot that flies freely inside the ISS to help astronauts with daily tasks. It can move using built-in fans, navigate with vision sensors, and work either on its own or be controlled from Earth. Some versions have robotic arms that can detect and grab objects, and this tech could be used in the future to remove space debris or service satellites.

Space and Technology

51,832 просмотров • 2 месяцев назад

Researchers at the University of Tokyo created Jizai Arms, a backpack-like system that can support up to six robotic arms controlled by the user’s movements. It helps people perform tasks that are hard or impossible with just two arms. The system could assist firefighters, construction workers, medical professionals, and people with disabilities.
0:55

Researchers at the University of Tokyo created Jizai Arms, a backpack-like system that can support up to six robotic arms controlled by the user’s movements. It helps people perform tasks that are hard or impossible with just two arms. The system could assist firefighters, construction workers, medical professionals, and people with disabilities.

Space and Technology

1,360,957 просмотров • 3 месяцев назад

Whitney Webb: "I think the digital ID is a key enabler of the surveillance, knowing what everyone is is doing and at the transactional, level and being able to tweak that micromanagement based on a person's activity. Because the digital ID isn't just limited to the financial system. Right? It's like your travel, your health history, your career history, your education credentials, your access and telecommunications, social media, the Internet. You know, with the new AI era, right?" "They can fuse all the data, analyze it, you know, and depending on how they develop that AI algorithm, use it to, control people really in in unprecedented ways. I think the the digital ID and the CBDC and its private sector equivalence project is something that we're always sort of intended to be the same system." "So there's documents from the UN, from the BIS, and in related groups that are sort of been working that have been working on this for years. That essentially frame one is essential to the other. Using words about, you know, this is inclusionary, sort of, you know, the whole, I guess marketing behind digital ID is that everyone needs legal ID because otherwise, they're unable to access essential services." "And so, the idea is we all have to be included in the system and they directly link that to the concept of financial inclusion and banking the unbanked, which he brought up earlier. But inherently, these systems actually function in an exclusionary way, based on how they've been set up, you know, they have essentially said that this is the only way." "This will be the only way to prove you have legal identity. And so if you don't participate in that system as far as the state or the, you know, the private sector is concerned, you don't exist. So, by not participating in that system, you're inherently excluded from the economic system and really essentially everything." "So you have to onboard to the surveillance state or be excluded from everything. So it's, you know, being marketed as inclusion, but it's really inherently exclusionary. Totally. So how how does this system get triggered? How do how does how do we move into the the Mark Carney-ism? Well, I think they sort of give it away when they say that this is the new Bretton Woods movement that needs to be seized." "So Bretton Woods was, what came out of World War two, essentially, and was the creation of a new financial governance system after World War two. And this is essentially an effort to create a new financial governance system that was announced well before any sort of crisis like that, but it's probably gonna need a crisis of that level, to be implemented and convince people to onboard at scale." "And if you subscribe to the theory that all wars are bankers wars, which there is, plenty of evidence to support that, I I would say, that seems to suggest that perhaps, you know, the this is the pre, you know, it's gonna be a problem reaction solution type of situation where they've already made the solution, they've already developed what they want to be, the new financial governance system after this new Bretton Woods moment." "They just need some sort of big event on the scale of World War two or some large event that's, you know, equally disruptive in order to be like, all right, now it's time for a new financial governance system after this big event like they did after World War Two."
3:08

Whitney Webb: "I think the digital ID is a key enabler of the surveillance, knowing what everyone is is doing and at the transactional, level and being able to tweak that micromanagement based on a person's activity. Because the digital ID isn't just limited to the financial system. Right? It's like your travel, your health history, your career history, your education credentials, your access and telecommunications, social media, the Internet. You know, with the new AI era, right?" "They can fuse all the data, analyze it, you know, and depending on how they develop that AI algorithm, use it to, control people really in in unprecedented ways. I think the the digital ID and the CBDC and its private sector equivalence project is something that we're always sort of intended to be the same system." "So there's documents from the UN, from the BIS, and in related groups that are sort of been working that have been working on this for years. That essentially frame one is essential to the other. Using words about, you know, this is inclusionary, sort of, you know, the whole, I guess marketing behind digital ID is that everyone needs legal ID because otherwise, they're unable to access essential services." "And so, the idea is we all have to be included in the system and they directly link that to the concept of financial inclusion and banking the unbanked, which he brought up earlier. But inherently, these systems actually function in an exclusionary way, based on how they've been set up, you know, they have essentially said that this is the only way." "This will be the only way to prove you have legal identity. And so if you don't participate in that system as far as the state or the, you know, the private sector is concerned, you don't exist. So, by not participating in that system, you're inherently excluded from the economic system and really essentially everything." "So you have to onboard to the surveillance state or be excluded from everything. So it's, you know, being marketed as inclusion, but it's really inherently exclusionary. Totally. So how how does this system get triggered? How do how does how do we move into the the Mark Carney-ism? Well, I think they sort of give it away when they say that this is the new Bretton Woods movement that needs to be seized." "So Bretton Woods was, what came out of World War two, essentially, and was the creation of a new financial governance system after World War two. And this is essentially an effort to create a new financial governance system that was announced well before any sort of crisis like that, but it's probably gonna need a crisis of that level, to be implemented and convince people to onboard at scale." "And if you subscribe to the theory that all wars are bankers wars, which there is, plenty of evidence to support that, I I would say, that seems to suggest that perhaps, you know, the this is the pre, you know, it's gonna be a problem reaction solution type of situation where they've already made the solution, they've already developed what they want to be, the new financial governance system after this new Bretton Woods moment." "They just need some sort of big event on the scale of World War two or some large event that's, you know, equally disruptive in order to be like, all right, now it's time for a new financial governance system after this big event like they did after World War Two."

Camus

20,121 просмотров • 1 год назад

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:
0:29

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

42,804 просмотров • 5 месяцев назад

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.
5:58:26

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

zostaff

229,505 просмотров • 2 месяцев назад

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”
2:16

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”

TBPN

18,811 просмотров • 1 год назад

Excited to announce Tau Robotics (Tau Robotics). We are building a general AI for robots. We start by building millions of robot arms that learn in the real world. In the video, two robot arms are fully autonomous and controlled by a single neural network conditioned on different language instructions (four axes and five axes robot arms). The other two arms are teleoperated. The entire hardware cost in the video is about $1400. The video is at 1.5x speed.
0:39

Excited to announce Tau Robotics (Tau Robotics). We are building a general AI for robots. We start by building millions of robot arms that learn in the real world. In the video, two robot arms are fully autonomous and controlled by a single neural network conditioned on different language instructions (four axes and five axes robot arms). The other two arms are teleoperated. The entire hardware cost in the video is about $1400. The video is at 1.5x speed.

Alexander Koch

437,797 просмотров • 2 лет назад

LIVE TO FIGHT ANOTHER DAY The bully - that's the establishment, have... They know how to beat people up. They know how to gas them. And they have the arms and the equipment. And the mistake was made that the kids ended up playing their game of violence, you know, and they know how to be violent. They've been running it on violence for two thousand years or a million or whatever it is. And nobody can tell me that violence is the way. After all that time, you know... There must be another way. But a lot of people fell for it. And it's understandable in a way. 'Cause when the bully is actually right there, it's pretty hard to say turn the other cheek, baby. But I say turn the other cheek... and run. You know, and like the Indians are supposed to do, you know, which they lost, of course. but, er, was... Live to fight another day. #powertothepeople
0:48

LIVE TO FIGHT ANOTHER DAY The bully - that's the establishment, have... They know how to beat people up. They know how to gas them. And they have the arms and the equipment. And the mistake was made that the kids ended up playing their game of violence, you know, and they know how to be violent. They've been running it on violence for two thousand years or a million or whatever it is. And nobody can tell me that violence is the way. After all that time, you know... There must be another way. But a lot of people fell for it. And it's understandable in a way. 'Cause when the bully is actually right there, it's pretty hard to say turn the other cheek, baby. But I say turn the other cheek... and run. You know, and like the Indians are supposed to do, you know, which they lost, of course. but, er, was... Live to fight another day. #powertothepeople

Yoko Ono

19,873 просмотров • 8 месяцев назад

HERMES JUST GOT A CHATGPT INTERFACE AND IT IS COMPLETELY FREE. No terminal. No command line. No technical setup that takes half a day to figure out. Here is what just became possible. You can now run Hermes, DeepSeek, Ollama, and OpenClaw from a single clean chat interface. Switch between them in one click. Upload files directly. Attach knowledge bases and notes. Preview code without touching the terminal once. Use it on mobile. Make voice and video calls. All of it. Free. Open source. The setup took one conversation with Hermes itself. Pasted the GitHub link in. Hermes installed Open Web UI in Docker on its own. Connected the API server and gateway automatically. A clean ChatGPT-level interface running entirely on local hardware was live in minutes. No subscription. No data leaving your machine. No API bill at the end of the month. The people who set this up this weekend will have a local AI stack that rivals what most companies are paying $2,000 a month for in cloud infrastructure. The people who wait will keep paying for tools that send their data somewhere they cannot see. Both tools are free. Both are open source. The only thing between you and this setup is the next 30 minutes. Follow CyrilXBT for the exact config, setup steps, and local AI workflows I use to run a full stack without spending a dollar on cloud inference.
9:10

HERMES JUST GOT A CHATGPT INTERFACE AND IT IS COMPLETELY FREE. No terminal. No command line. No technical setup that takes half a day to figure out. Here is what just became possible. You can now run Hermes, DeepSeek, Ollama, and OpenClaw from a single clean chat interface. Switch between them in one click. Upload files directly. Attach knowledge bases and notes. Preview code without touching the terminal once. Use it on mobile. Make voice and video calls. All of it. Free. Open source. The setup took one conversation with Hermes itself. Pasted the GitHub link in. Hermes installed Open Web UI in Docker on its own. Connected the API server and gateway automatically. A clean ChatGPT-level interface running entirely on local hardware was live in minutes. No subscription. No data leaving your machine. No API bill at the end of the month. The people who set this up this weekend will have a local AI stack that rivals what most companies are paying $2,000 a month for in cloud infrastructure. The people who wait will keep paying for tools that send their data somewhere they cannot see. Both tools are free. Both are open source. The only thing between you and this setup is the next 30 minutes. Follow CyrilXBT for the exact config, setup steps, and local AI workflows I use to run a full stack without spending a dollar on cloud inference.

CyrilXBT

37,092 просмотров • 2 месяцев назад

Hamas leader Khaled Mashal: “We do not accept the two state solution.” — January 22, 2024 “I would like to say two things about the two-state solution. First, we have nothing to do with the two-state solution. We reject this notion, because it means you would get a promise for a [Palestinian] state, yet you are required to recognize the legitimacy of the other state, which is the Zionist entity. This is unacceptable. We demand to be liberated, to get rid of the occupation, and to have our independence, and our state. [Israel] is my enemy. It is not my concern." “Obviously, the position of Hamas, and the position of the vast majority of the Palestinian people, especially following October 7, I believe that the dream and the hope for Palestine from the River to the Sea, and from the north to the south, has been renewed. This has also become a slogan chanted in the U.S., and in western capital cities, by the American and Western public.” “Hamas agreed to a completely independent (Palestinian) state, with the 1967 borders, with Jerusalem as its capital, with the Right of Return included without recognizing the legitimacy of the Zionist entity. This position was meant to facilitate Palestinian and Arab agreement at this stage, but without relinquishing any of our rights or any part of our land, and without recognizing Israel. Our vision remains unchanged. I believe that October 7 has enhanced this conviction, has narrowed the disagreements, and has turned the idea of liberating Palestine from the River to the Sea into a realistic idea that has already begun. It is not something merely to be expected or hoped for, It is part of the plan, part of the agenda, and we are standing on its threshold, Allah willing.” TRANSLATED BY MEMRI Source:
1:16

Hamas leader Khaled Mashal: “We do not accept the two state solution.” — January 22, 2024 “I would like to say two things about the two-state solution. First, we have nothing to do with the two-state solution. We reject this notion, because it means you would get a promise for a [Palestinian] state, yet you are required to recognize the legitimacy of the other state, which is the Zionist entity. This is unacceptable. We demand to be liberated, to get rid of the occupation, and to have our independence, and our state. [Israel] is my enemy. It is not my concern." “Obviously, the position of Hamas, and the position of the vast majority of the Palestinian people, especially following October 7, I believe that the dream and the hope for Palestine from the River to the Sea, and from the north to the south, has been renewed. This has also become a slogan chanted in the U.S., and in western capital cities, by the American and Western public.” “Hamas agreed to a completely independent (Palestinian) state, with the 1967 borders, with Jerusalem as its capital, with the Right of Return included without recognizing the legitimacy of the Zionist entity. This position was meant to facilitate Palestinian and Arab agreement at this stage, but without relinquishing any of our rights or any part of our land, and without recognizing Israel. Our vision remains unchanged. I believe that October 7 has enhanced this conviction, has narrowed the disagreements, and has turned the idea of liberating Palestine from the River to the Sea into a realistic idea that has already begun. It is not something merely to be expected or hoped for, It is part of the plan, part of the agenda, and we are standing on its threshold, Allah willing.” TRANSLATED BY MEMRI Source:

dan linnaeus

96,479 просмотров • 2 лет назад

A robotic ballet! 🩰 Coordinating multiple robot arms on a busy factory floor is notoriously complex. Each arm needs to move without colliding with its neighbors or the surrounding equipment, and today that planning is still mostly done by hand, a process that takes specialists hundreds of hours. Researchers at UCL, Google DeepMind, and Intrinsic have introduced RoboBallet, a new AI system that tackles this challenge head-on. Using a combination of graph neural networks and reinforcement learning, RoboBallet learns how to coordinate many robots in real time, generating smooth, collision-free motion plans in seconds instead of days. In tests, the system handled up to 40 tasks with eight arms working together, far beyond the limits of traditional planners. More importantly, it showed strong generalization: RoboBallet could adapt instantly to new factory layouts or recover if one robot failed, something previous methods struggled with. For manufacturers, this could mean faster deployment of automation, less downtime, and the ability to reconfigure production lines on the fly. Applications range from automotive welding to electronics assembly, and even large-scale construction. The current system focuses on reaching tasks, but the team plans to expand it to more complex operations like pick-and-place or painting. Here's the paper:
0:54

A robotic ballet! 🩰 Coordinating multiple robot arms on a busy factory floor is notoriously complex. Each arm needs to move without colliding with its neighbors or the surrounding equipment, and today that planning is still mostly done by hand, a process that takes specialists hundreds of hours. Researchers at UCL, Google DeepMind, and Intrinsic have introduced RoboBallet, a new AI system that tackles this challenge head-on. Using a combination of graph neural networks and reinforcement learning, RoboBallet learns how to coordinate many robots in real time, generating smooth, collision-free motion plans in seconds instead of days. In tests, the system handled up to 40 tasks with eight arms working together, far beyond the limits of traditional planners. More importantly, it showed strong generalization: RoboBallet could adapt instantly to new factory layouts or recover if one robot failed, something previous methods struggled with. For manufacturers, this could mean faster deployment of automation, less downtime, and the ability to reconfigure production lines on the fly. Applications range from automotive welding to electronics assembly, and even large-scale construction. The current system focuses on reaching tasks, but the team plans to expand it to more complex operations like pick-and-place or painting. Here's the paper:

Lukas Ziegler

25,990 просмотров • 9 месяцев назад

🚨David Friedberg: AI is starting to identify and solve problems on its own “I'll give you a science corner example: there's this Evo 2 model that they publish at the Arc Institute, which Patrick Collison, you know, is the main funder and chairman.” “So that Evo 2 model, they just ingested all the DNA data they could find in the world.” “Trillions and trillions of base paired data that they ingested and then they looked at patterns in DNA. And that's it.” “They had no context for what the DNA represented, they had no context for the concept of genes, none of the structured understanding of what that DNA does, what it is, and you know what it did?” “They fed in the BRCA gene variant and the thing output a warning saying, ‘I think that this is a pathogenic variant to DNA,’ without having any context.” “This is the breast cancer allele.” “And it didn't have any knowledge and it wasn't trained on that at all.” “It had no knowledge that there are pathogenic variants for cancer, and it identified that this was a genetic variant that can cause some sort of pathogenic outcome in the organism.” “That's a great example where there's a lack of understanding at the human level on what really drives some of the patterns in nature, the patterns in society, the patterns in behavior that are kind of emergent phenomena perhaps, that these AI models are starting to identify.”
1:03

🚨David Friedberg: AI is starting to identify and solve problems on its own “I'll give you a science corner example: there's this Evo 2 model that they publish at the Arc Institute, which Patrick Collison, you know, is the main funder and chairman.” “So that Evo 2 model, they just ingested all the DNA data they could find in the world.” “Trillions and trillions of base paired data that they ingested and then they looked at patterns in DNA. And that's it.” “They had no context for what the DNA represented, they had no context for the concept of genes, none of the structured understanding of what that DNA does, what it is, and you know what it did?” “They fed in the BRCA gene variant and the thing output a warning saying, ‘I think that this is a pathogenic variant to DNA,’ without having any context.” “This is the breast cancer allele.” “And it didn't have any knowledge and it wasn't trained on that at all.” “It had no knowledge that there are pathogenic variants for cancer, and it identified that this was a genetic variant that can cause some sort of pathogenic outcome in the organism.” “That's a great example where there's a lack of understanding at the human level on what really drives some of the patterns in nature, the patterns in society, the patterns in behavior that are kind of emergent phenomena perhaps, that these AI models are starting to identify.”

The All-In Podcast

79,717 просмотров • 11 месяцев назад

the camera being in a tight close up on both ilya and shane for the entirety of this scene, except for the moment when ilya is working up the courage to say he’s in love. it’s like for the whole conversation it’s just the two of them, there’s nobody else who matters, and then for a brief moment the shot widens as ilya considers the implications of the fact he’s in love with shane. the fact that the rest of the world DOES matter and will always be a presence in their relationship. we’ve been held in this moment between the two of them and by widening the shot, that intimacy is broken just for a second as we’re reminded that there is a world beyond the two of them and ilya is still in russia. what he’s doing is incredibly dangerous. then the camera tightens back into a close up as he realises he needs to say it anyway because all that matters is that he’s on the phone with shane and he’s in love with him. it really is just the two of them in this moment and he doesn’t want to let anyone else in.
3:26

the camera being in a tight close up on both ilya and shane for the entirety of this scene, except for the moment when ilya is working up the courage to say he’s in love. it’s like for the whole conversation it’s just the two of them, there’s nobody else who matters, and then for a brief moment the shot widens as ilya considers the implications of the fact he’s in love with shane. the fact that the rest of the world DOES matter and will always be a presence in their relationship. we’ve been held in this moment between the two of them and by widening the shot, that intimacy is broken just for a second as we’re reminded that there is a world beyond the two of them and ilya is still in russia. what he’s doing is incredibly dangerous. then the camera tightens back into a close up as he realises he needs to say it anyway because all that matters is that he’s on the phone with shane and he’s in love with him. it really is just the two of them in this moment and he doesn’t want to let anyone else in.

frances 🏒

293,756 просмотров • 6 месяцев назад

Milestone! We (robotic arms for gadgets assembly) finished the first commercial order, which brought the first revenue. Here are some learnings from this: The customer was a smart toy manufacturer. The task was to add a heatsink to Raspberry Pi. We received parts from them and returned the assembled modules back. Currently, it's done by teleoperation. Later it will be done by a remote employee via the Internet. Then it will be automated action by action, reducing the operator's time on this and making the task profitable. ps. If you have an assembly task that we can do for you asynchronically - leave a comment below. Learning 1. It's possible! This task which is usually done by the human arm with 5 fingers can be done with a two-finger gripper with the addition of a couple of simple tooling. The task was not simplified. We peeled off thin films from stickers, unpacked paper boxes, moved PCB boards full of components, etc. And no unsolvable problems have been encountered yet. Challenges: 1) The paper box shifted during the opening Solved with the plastic walls that you can lean against 2) Heat pad, stuck to the gripper instead of heat sync. Can be solved by gripper with a pump, but this time solved with the patience of the operator 3) The film on the pad is very thin. Turned out that sub-millimeter arm precision is enough to peel it off with just a regular gripper. 4) The working area has not enough space. You'll only know this by doing real tasks in bulk. This could be solved by an extra pair of long arms, but in this case, solved with the patience of the operator. I think that in the end, we will have 5-10 types of universal tooling and 5-10 types of grippers to solve almost all the problems in such assembly tasks. Learning 2. It's slow. It took 5 times more time, than doing it with human hands. But the good news is there's a lot of room for improvement. We now have specific “time for task” metrics, which we will decrease with iterations. The main reasons for slowness: 1) To rotate the gripper to a steep angle you are forced to control one robot arm with two hands instead of using both arms. We can fix this by just making more room for rotations. 2) Grabbing PCB board with two arms is hard. A slight difference in rotation can break the board, and it's hard to control these angles visually. To solve this, the best way is to use force feedback so you can feel the pressure applied to the item. 3) Accuracy and steadiness is still can be improved We will try a metal version and double the motors to do this. 4) It is physically difficult for the human hands to move with such precision To solve this, we will add a pad for the hands like in surgical robots Learning 3. It's a good business model The "Factory in the cloud" is a good business model for this stage. You send us parts and we send back assembled modules. Currently, it's more convenient than sending a robot to your place, as we can iterate/fix the robot quickly and utilize it 100% of the time. When we polish the set-up over time - we can send robots to your place. So if we can assemble something for you in the USA with Chinese prices by using modern automation - leave a comment below.
0:48

Milestone! We (robotic arms for gadgets assembly) finished the first commercial order, which brought the first revenue. Here are some learnings from this: The customer was a smart toy manufacturer. The task was to add a heatsink to Raspberry Pi. We received parts from them and returned the assembled modules back. Currently, it's done by teleoperation. Later it will be done by a remote employee via the Internet. Then it will be automated action by action, reducing the operator's time on this and making the task profitable. ps. If you have an assembly task that we can do for you asynchronically - leave a comment below. Learning 1. It's possible! This task which is usually done by the human arm with 5 fingers can be done with a two-finger gripper with the addition of a couple of simple tooling. The task was not simplified. We peeled off thin films from stickers, unpacked paper boxes, moved PCB boards full of components, etc. And no unsolvable problems have been encountered yet. Challenges: 1) The paper box shifted during the opening Solved with the plastic walls that you can lean against 2) Heat pad, stuck to the gripper instead of heat sync. Can be solved by gripper with a pump, but this time solved with the patience of the operator 3) The film on the pad is very thin. Turned out that sub-millimeter arm precision is enough to peel it off with just a regular gripper. 4) The working area has not enough space. You'll only know this by doing real tasks in bulk. This could be solved by an extra pair of long arms, but in this case, solved with the patience of the operator. I think that in the end, we will have 5-10 types of universal tooling and 5-10 types of grippers to solve almost all the problems in such assembly tasks. Learning 2. It's slow. It took 5 times more time, than doing it with human hands. But the good news is there's a lot of room for improvement. We now have specific “time for task” metrics, which we will decrease with iterations. The main reasons for slowness: 1) To rotate the gripper to a steep angle you are forced to control one robot arm with two hands instead of using both arms. We can fix this by just making more room for rotations. 2) Grabbing PCB board with two arms is hard. A slight difference in rotation can break the board, and it's hard to control these angles visually. To solve this, the best way is to use force feedback so you can feel the pressure applied to the item. 3) Accuracy and steadiness is still can be improved We will try a metal version and double the motors to do this. 4) It is physically difficult for the human hands to move with such precision To solve this, we will add a pad for the hands like in surgical robots Learning 3. It's a good business model The "Factory in the cloud" is a good business model for this stage. You send us parts and we send back assembled modules. Currently, it's more convenient than sending a robot to your place, as we can iterate/fix the robot quickly and utilize it 100% of the time. When we polish the set-up over time - we can send robots to your place. So if we can assemble something for you in the USA with Chinese prices by using modern automation - leave a comment below.

Igor Kulakov

37,266 просмотров • 1 год назад

Six arms instead of two! 🤯 Midea Group humanoid robot has six arms instead of two. It handles heavy components with lower limbs and performs fine assembly work with upper limbs. Full 360-degree rotation, stable vertical lifting, rapid tool-swapping. The robot handles workstation transitions that would typically require multiple human workers or separate machines. So no idle-time between stations. Pretty cool. But I'm really curious about the cost, and how this 6-arms robot compares to a regular robot arm, and then to a regular humanoid What do yo think? Overcomplicated? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:20

Six arms instead of two! 🤯 Midea Group humanoid robot has six arms instead of two. It handles heavy components with lower limbs and performs fine assembly work with upper limbs. Full 360-degree rotation, stable vertical lifting, rapid tool-swapping. The robot handles workstation transitions that would typically require multiple human workers or separate machines. So no idle-time between stations. Pretty cool. But I'm really curious about the cost, and how this 6-arms robot compares to a regular robot arm, and then to a regular humanoid What do yo think? Overcomplicated? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

12,841 просмотров • 1 месяц назад

Playing #VR games "without" a headset... ... Absolute genius or total abomination? This is called PortalVR and it lets you play any SteamVR game or app on your Windows PC without wearing a headset. Just plug in your #MetaQuest via USB, put it on your desk facing you, and use your controllers while facing your screen. The setup and connection is quite seamless and the team came up with a clever locomotion system to simulate turning the user's head by just tapping the top of the thumbstick. Now the biggest question is: does this make any sense? In my opinion, to play "standard" VR #games, it doesn't. You lose the beauty of being immersed and reaching out to grab objects or looking around can be tricky. On the other hand, I think there might be experiences specifically designed with this interaction in mind like interactive installations or educational experiences that could greatly benefit from a more tactile interface than a mouse and a keyboard
1:10

Playing #VR games "without" a headset... ... Absolute genius or total abomination? This is called PortalVR and it lets you play any SteamVR game or app on your Windows PC without wearing a headset. Just plug in your #MetaQuest via USB, put it on your desk facing you, and use your controllers while facing your screen. The setup and connection is quite seamless and the team came up with a clever locomotion system to simulate turning the user's head by just tapping the top of the thumbstick. Now the biggest question is: does this make any sense? In my opinion, to play "standard" VR #games, it doesn't. You lose the beauty of being immersed and reaching out to grab objects or looking around can be tricky. On the other hand, I think there might be experiences specifically designed with this interaction in mind like interactive installations or educational experiences that could greatly benefit from a more tactile interface than a mouse and a keyboard

Gabriele Romagnoli

66,345 просмотров • 6 месяцев назад