Загрузка видео...

Не удалось загрузить видео

На главную

What if you could control a robot just by thinking? BrainCo made it real. BrainCo’s Brain-Controlled Robot AI Platform captures brain signals, decodes your intent and turns it into robot action — no physical movement needed. Now available for research teams worldwide. #BrainCo #BrainControlledRobot #HumanMachineCollaboration #BCIResearch #Collab

yabhishekhd's profile picture

Abhishek Yadav

179,657 subscribers

13,888 просмотров • 7 дней назад •via X (Twitter)

#BrainCo
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Cosmos Policy just dropped for physical #AI 👀 Cutting edge research turning a world foundation model into a unified robot brain that can see, predict, and act—no extra action heads, no complicated control stack. Read our blog on Hugging Face ➡️
0:38

Cosmos Policy just dropped for physical #AI 👀 Cutting edge research turning a world foundation model into a unified robot brain that can see, predict, and act—no extra action heads, no complicated control stack. Read our blog on Hugging Face ➡️

NVIDIA Asia Pacific

17,302 просмотров • 4 месяцев назад

NEURALINK: YOUR BRAIN JUST GOT AN UPGRADE Neuralink’s new chip lets you move a cursor, play games, and control a robot hand - just by thinking. They’re working on silent speech, so you could text or talk without saying a word - straight from your brain. It could even help people walk again by sending signals around spinal injuries like a high-tech detour. One day, you might control a full robot body, or store your thoughts like files - sci-fi, but real. Source: Neuralink
8:26

NEURALINK: YOUR BRAIN JUST GOT AN UPGRADE Neuralink’s new chip lets you move a cursor, play games, and control a robot hand - just by thinking. They’re working on silent speech, so you could text or talk without saying a word - straight from your brain. It could even help people walk again by sending signals around spinal injuries like a high-tech detour. One day, you might control a full robot body, or store your thoughts like files - sci-fi, but real. Source: Neuralink

Mario Nawfal

42,741 просмотров • 1 год назад

Just told a robot what to do in plain English. Launching today: Control robots with text prompts. No coding. No setup. No expensive GPUs. No ML PhD needed. Launch app, input prompt, BOOM—AI controls your robot. Need more? Record examples, we fine-tune it. Try now! Link below
0:52

Just told a robot what to do in plain English. Launching today: Control robots with text prompts. No coding. No setup. No expensive GPUs. No ML PhD needed. Launch app, input prompt, BOOM—AI controls your robot. Need more? Record examples, we fine-tune it. Try now! Link below

Pierre-Louis Biojout (PLB)

43,759 просмотров • 1 год назад

What if your robot could walk into a café, place an order for you, and pay — all by itself? With x402, that future is now. No accounts. No API keys. Just one line of code for AI agents to make seamless, autonomous payments. Built with Coinbase Developer Platform🛡️'s AgentKit, brought to life by OpenMind 🤖☕
2:46

What if your robot could walk into a café, place an order for you, and pay — all by itself? With x402, that future is now. No accounts. No API keys. Just one line of code for AI agents to make seamless, autonomous payments. Built with Coinbase Developer Platform🛡️'s AgentKit, brought to life by OpenMind 🤖☕

OpenMind

124,143 просмотров • 1 год назад

20 years ago today, an extraordinary 24-year-old, unable to move his hands due to cervical spinal cord injury, volunteered to have a tiny sensor placed into his brain so that he could control a computer cursor, his room lights, and a robot arm just by thinking about it.
0:33

20 years ago today, an extraordinary 24-year-old, unable to move his hands due to cervical spinal cord injury, volunteered to have a tiny sensor placed into his brain so that he could control a computer cursor, his room lights, and a robot arm just by thinking about it.

BrainGate Team

15,710 просмотров • 2 лет назад

We’ve just stepped into the future. Our AI, CERE, no longer just talks… It walks, moves, and interacts with you in real time! Cere Thanks to our integration with Robot TEMI, CERE is now embodied as a physical being: Meet Robot CERE! And with its GenAI integration, it can now talk to you on the spot. We’ve brought artificial intelligence into the physical world. Unveiled today at the expo — Tomorrow, it might be in your home, your office, or even on the street. Get ready: Technology is no longer just code — Cerebrum Tech #CERE #RobotCERE #ArtificialIntelligence #Robotics #CerebrumTech #AI #FutureTech
0:49

We’ve just stepped into the future. Our AI, CERE, no longer just talks… It walks, moves, and interacts with you in real time! Cere Thanks to our integration with Robot TEMI, CERE is now embodied as a physical being: Meet Robot CERE! And with its GenAI integration, it can now talk to you on the spot. We’ve brought artificial intelligence into the physical world. Unveiled today at the expo — Tomorrow, it might be in your home, your office, or even on the street. Get ready: Technology is no longer just code — Cerebrum Tech #CERE #RobotCERE #ArtificialIntelligence #Robotics #CerebrumTech #AI #FutureTech

Dr. R.Erdem ERKUL

367,264 просмотров • 1 год назад

A humanoid robot playing a Yamaha drum kit is one of the cleanest ways to test rhythm control in public. Drumming exposes timing, wrist motion, impact force, arm recovery, and coordination between both hands. Even if the routine is pre-programmed or assisted, the useful part is visible: the robot has to strike, reset, and stay in rhythm without turning into random arm movement. Robot musicians may look funny today. They are quietly testing the same control problems needed for household robots, factory arms, and physical AI systems that work around humans. Would you call this entertainment, robotics research, or the early market for robot performers?
0:20

A humanoid robot playing a Yamaha drum kit is one of the cleanest ways to test rhythm control in public. Drumming exposes timing, wrist motion, impact force, arm recovery, and coordination between both hands. Even if the routine is pre-programmed or assisted, the useful part is visible: the robot has to strike, reset, and stay in rhythm without turning into random arm movement. Robot musicians may look funny today. They are quietly testing the same control problems needed for household robots, factory arms, and physical AI systems that work around humans. Would you call this entertainment, robotics research, or the early market for robot performers?

TechniaHQ | humanoid robots

208,048 просмотров • 1 месяц назад

🤖What if a robot could perform a new task just from a natural language command, with zero demonstrations? Our new work, NovaFlow, makes it possible! We use pre-trained video generative model to create a video of the task, then translate it into a plan for real-world robot execution. 1/6 #Robotics #AI #ZeroShot #Manipulation
0:27

🤖What if a robot could perform a new task just from a natural language command, with zero demonstrations? Our new work, NovaFlow, makes it possible! We use pre-trained video generative model to create a video of the task, then translate it into a plan for real-world robot execution. 1/6 #Robotics #AI #ZeroShot #Manipulation

Hongyu Li

105,571 просмотров • 9 месяцев назад

🇨🇳 CHINA BUILT A ROBOT WITH A HUMAN BRAIN Chinese scientists grew a cerebral organoid — a mini brain made from human stem cells — and connected it to a robot. Not just for show: the brainlet controls physical movement, dodges obstacles, grabs objects, and even shows signs of synaptic plasticity — meaning it can learn and adapt based on experience. They embedded it into a brain-on-chip system, combining neural tissue with silicon circuitry — essentially a hybrid bio-digital processor. This could revolutionize neuroscience, drug testing, and AI development. But it also drags us straight into Blade Runner territory: machines that don’t simulate thought, but actually have it. The ethical red flags are everywhere: What counts as consciousness? Where’s the line between tool and entity? Are we growing minds to serve machines? Cool? Yes. Chilling? Also yes. Source: FutureNowShow
0:47

🇨🇳 CHINA BUILT A ROBOT WITH A HUMAN BRAIN Chinese scientists grew a cerebral organoid — a mini brain made from human stem cells — and connected it to a robot. Not just for show: the brainlet controls physical movement, dodges obstacles, grabs objects, and even shows signs of synaptic plasticity — meaning it can learn and adapt based on experience. They embedded it into a brain-on-chip system, combining neural tissue with silicon circuitry — essentially a hybrid bio-digital processor. This could revolutionize neuroscience, drug testing, and AI development. But it also drags us straight into Blade Runner territory: machines that don’t simulate thought, but actually have it. The ethical red flags are everywhere: What counts as consciousness? Where’s the line between tool and entity? Are we growing minds to serve machines? Cool? Yes. Chilling? Also yes. Source: FutureNowShow

Mario Nawfal

2,796,184 просмотров • 1 год назад

SOMEONE JUST BUILT AN OPERATING SYSTEM FOR ROBOTS not a framework... not a library an actual OS dimos is an open-source platform that lets you build, run, and deploy software on any robot humanoids, quadrupeds, drones, wheeled bots you write python modules .... they talk to each other via typed streams...just like microservices, but for physical hardware the wild part..? you can give your AI editor (cursor, claude code) MCP access to send real physical commands "move forward 1 meter" → robot moves. it ships with a full navigation stack SLAM, collision avoidance, route planning. plus a dashboard to debug, visualize, and control your robot in real-time via waypoints, VR, or keyboard. supported hardware already includes unitree G1 humanoids, dji drones, and multiple robot arms. programming physical robots is finally as simple as programming software
3:35

SOMEONE JUST BUILT AN OPERATING SYSTEM FOR ROBOTS not a framework... not a library an actual OS dimos is an open-source platform that lets you build, run, and deploy software on any robot humanoids, quadrupeds, drones, wheeled bots you write python modules .... they talk to each other via typed streams...just like microservices, but for physical hardware the wild part..? you can give your AI editor (cursor, claude code) MCP access to send real physical commands "move forward 1 meter" → robot moves. it ships with a full navigation stack SLAM, collision avoidance, route planning. plus a dashboard to debug, visualize, and control your robot in real-time via waypoints, VR, or keyboard. supported hardware already includes unitree G1 humanoids, dji drones, and multiple robot arms. programming physical robots is finally as simple as programming software

Vaishnavi

19,745 просмотров • 3 месяцев назад

What if robots could learn real-world tasks from your perspective… without ever touching a robot? This is a system that trains robot policies using nothing but human-first, egocentric video data from smart glasses. No robots, no teleop, no sensors, just humans doing real tasks in the real world. Why it matters ✅ Learns robot policies from 20 minutes of human video; zero robot demos ✅ Generalizes to new objects, views, and even robot morphologies ✅ Uses 3D points for interpretable, spatially grounded learning ✅ Deploys directly to real-world robots with strong zero-shot success Thank you, Vincent Liu, for sharing!!! Learn more here: 🔗 Paper: 🌐 Website: 📍 BOOKMARK FOR LATER
0:30

What if robots could learn real-world tasks from your perspective… without ever touching a robot? This is a system that trains robot policies using nothing but human-first, egocentric video data from smart glasses. No robots, no teleop, no sensors, just humans doing real tasks in the real world. Why it matters ✅ Learns robot policies from 20 minutes of human video; zero robot demos ✅ Generalizes to new objects, views, and even robot morphologies ✅ Uses 3D points for interpretable, spatially grounded learning ✅ Deploys directly to real-world robots with strong zero-shot success Thank you, Vincent Liu, for sharing!!! Learn more here: 🔗 Paper: 🌐 Website: 📍 BOOKMARK FOR LATER

Ilir Aliu - eu/acc

10,509 просмотров • 1 год назад

full stack ai agents --- what if you could get root access into the robot brain _while it's working_ and make changes? What would it look like? here's 9 minutes where I pitch building UIs for your robot butlers. very easy if your agent is already a server (which, of course, your durable object gives you for free) feel free to argue whether you should use SSR or SPAs or local first or the framework du jour or whatever. link to post in reply, live demo and code later. that's video 3 of the series, done and dusted.
8:51

full stack ai agents --- what if you could get root access into the robot brain _while it's working_ and make changes? What would it look like? here's 9 minutes where I pitch building UIs for your robot butlers. very easy if your agent is already a server (which, of course, your durable object gives you for free) feel free to argue whether you should use SSR or SPAs or local first or the framework du jour or whatever. link to post in reply, live demo and code later. that's video 3 of the series, done and dusted.

sunil pai

34,770 просмотров • 1 год назад

NEURALINK IS BUILDING TECH YOU CONTROL WITH YOUR MIND Neuralink’s PRIME Study is testing a fully implantable, wireless brain-computer interface to let people with quadriplegia control devices just by thinking. The implant, hidden under the skin, decodes brain activity to let users operate computers or smartphones with pure intention—no wires, no physical movement. This global study aims to enhance computer control for those with spinal cord injuries or ALS. Source: Neuralink
1:32

NEURALINK IS BUILDING TECH YOU CONTROL WITH YOUR MIND Neuralink’s PRIME Study is testing a fully implantable, wireless brain-computer interface to let people with quadriplegia control devices just by thinking. The implant, hidden under the skin, decodes brain activity to let users operate computers or smartphones with pure intention—no wires, no physical movement. This global study aims to enhance computer control for those with spinal cord injuries or ALS. Source: Neuralink

Mario Nawfal

148,447 просмотров • 1 год назад

Cosmos Policy just dropped for robotics. 🤖 Cutting edge research is turning a world foundation model into a unified robot brain that can see, predict, and act—no extra action heads, no complicated control stack. Read our blog on Hugging Face ➡️ Want to get hands-on with Cosmos (Reason, Predict, Policy, Cookbook)? Join the Cosmos Cookoff, sponsored by Nebius and Milestone Systems ➡️
0:38

Cosmos Policy just dropped for robotics. 🤖 Cutting edge research is turning a world foundation model into a unified robot brain that can see, predict, and act—no extra action heads, no complicated control stack. Read our blog on Hugging Face ➡️ Want to get hands-on with Cosmos (Reason, Predict, Policy, Cookbook)? Join the Cosmos Cookoff, sponsored by Nebius and Milestone Systems ➡️

NVIDIA Robotics

14,344 просмотров • 5 месяцев назад

Today I realized something absolutely with BitRobot Network You dont need to own a robot… to actually control one I was just sitting at my laptop and somehow I was moving a real robotic arm in real time At first I thought it would feel like a video game It didnt Theres a completely different feeling when you know this is happening in the real world not just on a screen Every movement matters. Every action generates data And then it hit me… This is how AI is learning to interact with the real world Not from code alone but from people like us Platforms like BitRobot are opening this to everyone No setup No cost No experience Just curiosity and the internet Someone sitting at home can now help train the next generation of robotics. The future isnt coming its happening right now. If you could control a robot right now what would you try first? 🤖👇
0:26

Today I realized something absolutely with BitRobot Network You dont need to own a robot… to actually control one I was just sitting at my laptop and somehow I was moving a real robotic arm in real time At first I thought it would feel like a video game It didnt Theres a completely different feeling when you know this is happening in the real world not just on a screen Every movement matters. Every action generates data And then it hit me… This is how AI is learning to interact with the real world Not from code alone but from people like us Platforms like BitRobot are opening this to everyone No setup No cost No experience Just curiosity and the internet Someone sitting at home can now help train the next generation of robotics. The future isnt coming its happening right now. If you could control a robot right now what would you try first? 🤖👇

RAJU

40,141 просмотров • 3 месяцев назад

You can now operate robots by just thinking about it. With your brain signals. WOW. This robot system from Stanford has so much sci-fi vibe and wild implications that I don't even know where to start. NOIR decodes the EEG signal from your head into a library of robot skills. It is demonstrated on 20 household activities, such as cooking Sukiyaki, ironing clothes, grating cheese, playing Tic-Tac-Toe, and even petting a robot dog! NOIR learns to predict your intended goals in advance, so that your thinking efforts (literally) can be reduced to a minimum. It works with both adults and children as young as five years old. Imagine scaling up this system to Neuralink + Humanoid robots like Tesla Optimus in the future! There's now a decent probability that we can see the movie Avatar become a reality in our lifetime. Website: Paper: This work is from Stanford Vision Lab, my PhD home. The project is led by Ruohan Zhang and advised by Fei-Fei Li Jiajun Wu. Congrats on the phenomenal idea!
0:33

You can now operate robots by just thinking about it. With your brain signals. WOW. This robot system from Stanford has so much sci-fi vibe and wild implications that I don't even know where to start. NOIR decodes the EEG signal from your head into a library of robot skills. It is demonstrated on 20 household activities, such as cooking Sukiyaki, ironing clothes, grating cheese, playing Tic-Tac-Toe, and even petting a robot dog! NOIR learns to predict your intended goals in advance, so that your thinking efforts (literally) can be reduced to a minimum. It works with both adults and children as young as five years old. Imagine scaling up this system to Neuralink + Humanoid robots like Tesla Optimus in the future! There's now a decent probability that we can see the movie Avatar become a reality in our lifetime. Website: Paper: This work is from Stanford Vision Lab, my PhD home. The project is led by Ruohan Zhang and advised by Fei-Fei Li Jiajun Wu. Congrats on the phenomenal idea!

Jim Fan

378,309 просмотров • 2 лет назад

Are you amazed by this robot's performance? As it turns out, this might be as exaggerated as DeepSeek. Its "handkerchief throwing" action was done by pulling with a fishing line. Some people also said that they thought this performance was fully programmed with AI, but unexpectedly, it was controlled by a joystick and it was one joystick per robot. What do you think?
0:05

Are you amazed by this robot's performance? As it turns out, this might be as exaggerated as DeepSeek. Its "handkerchief throwing" action was done by pulling with a fishing line. Some people also said that they thought this performance was fully programmed with AI, but unexpectedly, it was controlled by a joystick and it was one joystick per robot. What do you think?

Inconvenient Truths by Jennifer Zeng

12,647 просмотров • 1 год назад

The future of home cleaning just landed in Shenzhen and it is walking right into your living room. 🤖🏠 X Square Robot and officially launched China’s first robot home service, moving embodied AI from the lab to your front door. When you book a cleaning on the app, a professional cleaner now shows up with an X Square robot partner to tag team the house. The human handles the tricky stuff that needs real judgment while the robot takes over repetitive tasks like wiping tables and tidying up surfaces. X Square is using an end to end foundation model which means the robot actually perceives and plans its own moves instead of just following a script. By testing in the messy reality of a real home, they are proving that if a robot can master a living room, it can handle almost any physical space. This pilot is part of a massive push to turn these machines into reliable partners that can actually assist in our daily lives.
1:19

The future of home cleaning just landed in Shenzhen and it is walking right into your living room. 🤖🏠 X Square Robot and officially launched China’s first robot home service, moving embodied AI from the lab to your front door. When you book a cleaning on the app, a professional cleaner now shows up with an X Square robot partner to tag team the house. The human handles the tricky stuff that needs real judgment while the robot takes over repetitive tasks like wiping tables and tidying up surfaces. X Square is using an end to end foundation model which means the robot actually perceives and plans its own moves instead of just following a script. By testing in the messy reality of a real home, they are proving that if a robot can master a living room, it can handle almost any physical space. This pilot is part of a massive push to turn these machines into reliable partners that can actually assist in our daily lives.

RoboHub🤖

101,350 просмотров • 4 месяцев назад

How precise can a robot get… without ever seeing the object move? Turns out, just a geometric model is enough. A robot hit 73 precise 3D goals in a row, using only a geometric model. No demonstrations. No imitation learning. No fancy vision models. The secret? Sample where the robot could make contact. Let local contact-implicit control take over from there. That’s it. ✅ Real-time performance ✅ Natural contact making and breaking ✅ Works on tricky tasks like pushing and rotating This approach mixes global planning with local MPC. Fast. Accurate. Sample-efficient. Thanks for sharing, Michael Posa ! 📍Watch it in action: Paper:
0:46

How precise can a robot get… without ever seeing the object move? Turns out, just a geometric model is enough. A robot hit 73 precise 3D goals in a row, using only a geometric model. No demonstrations. No imitation learning. No fancy vision models. The secret? Sample where the robot could make contact. Let local contact-implicit control take over from there. That’s it. ✅ Real-time performance ✅ Natural contact making and breaking ✅ Works on tricky tasks like pushing and rotating This approach mixes global planning with local MPC. Fast. Accurate. Sample-efficient. Thanks for sharing, Michael Posa ! 📍Watch it in action: Paper:

Ilir Aliu

19,012 просмотров • 1 год назад

AI Decides if You Can Drive Asking a frickin robot if you can drive your car is about to be our new reality here in Garbageville. 57 Clownpublicans just gave some AI terminator the ability to shut off your car. We started by telling a website robot that we are not a robot and now we're about to be negotiating the ability to drive with with ChatGARB. Glad the gubmint is focusing on things we need and stuff. No big deal! Consume your slop, Thomas Massie is a gRanDStAnDA and 57 goons just clapped your ability to drive, by decree, for a technology that doesn't even exist yet. Nothing to see here! What could go wrong? Sacrifice liberty for fake safety, the murican way!
2:49

AI Decides if You Can Drive Asking a frickin robot if you can drive your car is about to be our new reality here in Garbageville. 57 Clownpublicans just gave some AI terminator the ability to shut off your car. We started by telling a website robot that we are not a robot and now we're about to be negotiating the ability to drive with with ChatGARB. Glad the gubmint is focusing on things we need and stuff. No big deal! Consume your slop, Thomas Massie is a gRanDStAnDA and 57 goons just clapped your ability to drive, by decree, for a technology that doesn't even exist yet. Nothing to see here! What could go wrong? Sacrifice liberty for fake safety, the murican way!

Bobby Sauce

18,063 просмотров • 2 месяцев назад