Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

How can we more effectively leverage robot data from different embodiments for skill transfer? Excited to share that our new work, RoVi-Aug, has been accepted to Conference on Robot Learning as an oral paper！ WIth RoVi-Aug, you can augment an existing robot dataset into a different robot and different... show more

Chenfeng_X

1,703 subscribers

28,278 görüntüleme • 1 yıl önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

How can we leverage diverse human videos to improve robot manipulation? Excited to introduce EgoVLA — a Vision-Language-Action model trained on egocentric human videos by explicitly modeling wrist & hand motion. We build a shared action space between humans and robots, enabling seamless transfer. With some robot demos, EgoVLA becomes a powerful, generalizable robot policy.

How can we leverage diverse human videos to improve robot manipulation? Excited to introduce EgoVLA — a Vision-Language-Action model trained on egocentric human videos by explicitly modeling wrist & hand motion. We build a shared action space between humans and robots, enabling seamless transfer. With some robot demos, EgoVLA becomes a powerful, generalizable robot policy.

Ruihan Yang

58,591 görüntüleme • 10 ay önce

🚀Our New Paper on Open-Source Bipeda Robot MEVITA is out! All components can be procured through e-commerce, and the robot is built with a minimal number of parts. All hardware, software, and learning environment are released as open source. 🌐 Thread👇

🚀Our New Paper on Open-Source Bipeda Robot MEVITA is out! All components can be procured through e-commerce, and the robot is built with a minimal number of parts. All hardware, software, and learning environment are released as open source. 🌐 Thread👇

Kento Kawaharazuka / 河原塚健人

48,281 görüntüleme • 9 ay önce

Evaluating policies on a real robot can be painful. Can we use a world model to get a rough estimate of how good a policy is? Checkout "Evaluating Robot Policies in a World Model". Paper: Demo: Code:

Evaluating policies on a real robot can be painful. Can we use a world model to get a rough estimate of how good a policy is? Checkout "Evaluating Robot Policies in a World Model". Paper: Demo: Code:

Sherry Yang

36,568 görüntüleme • 1 yıl önce

Can we make Transformers better and more efficient for robot learning? Excited to introduce Body Transformer (BoT), an architecture that leverages robot embodiment in the attention mechanism, by treating it as a graph of sensors and actuators.

Can we make Transformers better and more efficient for robot learning? Excited to introduce Body Transformer (BoT), an architecture that leverages robot embodiment in the attention mechanism, by treating it as a graph of sensors and actuators.

Carlo Sferrazza

60,663 görüntüleme • 1 yıl önce

A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by Alexander Khazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.

A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by Alexander Khazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.

Rerun

21,760 görüntüleme • 2 yıl önce

What's different between these two BC policies? It's the same architecture, training budget, and data collection setup — the only difference is the controller gains! Controller gains are an understudied design parameter in robot learning. In our new work (w/ antonia bronars*, Pulkit Agrawal), we show how they act as an inductive bias across BC, RL, and Sim2Real transfer, with real consequences on performance. Here's what we found 🧵 * Equal Contribution 📄arxiv: 🔗website:

What's different between these two BC policies? It's the same architecture, training budget, and data collection setup — the only difference is the controller gains! Controller gains are an understudied design parameter in robot learning. In our new work (w/ antonia bronars, Pulkit Agrawal), we show how they act as an inductive bias across BC, RL, and Sim2Real transfer, with real consequences on performance. Here's what we found 🧵 Equal Contribution 📄arxiv: 🔗website:

Younghyo Park

152,670 görüntüleme • 2 ay önce

Learning bimanual, contact-rich robot manipulation policies that generalize over diverse objects has long been a challenge. Excited to share our work: Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation! 🧵1/n

Learning bimanual, contact-rich robot manipulation policies that generalize over diverse objects has long been a challenge. Excited to share our work: Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation! 🧵1/n

Xuanlin Li (Simon)

20,869 görüntüleme • 1 yıl önce

Can we leverage VLMs for robot manipulation in the open world? Checkout our new work MOKA, a simple and effective visual prompting method!

Can we leverage VLMs for robot manipulation in the open world? Checkout our new work MOKA, a simple and effective visual prompting method!

Fangchen Liu

80,982 görüntüleme • 2 yıl önce

Controlling a CM6 robot with a LEAP motion controller. J2 of the robot is a bit underpowered but we mainly tested our algorithm here that we will implement on our other robots. Data is shared at 125Hz between robot and Leap over local network.

Controlling a CM6 robot with a LEAP motion controller. J2 of the robot is a bit underpowered but we mainly tested our algorithm here that we will implement on our other robots. Data is shared at 125Hz between robot and Leap over local network.

SourceRobotics

14,433 görüntüleme • 1 yıl önce

🧵 China’s humanoid robot race just entered a new era. Not with a concept video. Not with a research paper. But with a robot walking on stage in Beijing… and talking live about the future of AI.

🧵 China’s humanoid robot race just entered a new era. Not with a concept video. Not with a research paper. But with a robot walking on stage in Beijing… and talking live about the future of AI.

Priyank Ahuja

24,174 görüntüleme • 10 gün önce

We built a bipedal robot for about $2,500. A real, mostly 3D-printed robot you can build, repair, simulate, train, and control. Today we’re releasing LeRobot Humanoid: an open robot-learning platform with hardware, runtime, identification tools, and training environments. Blog post: Repo:

We built a bipedal robot for about $2,500. A real, mostly 3D-printed robot you can build, repair, simulate, train, and control. Today we’re releasing LeRobot Humanoid: an open robot-learning platform with hardware, runtime, identification tools, and training environments. Blog post: Repo:

LeRobot

196,573 görüntüleme • 17 gün önce

Want to see your logo on a fighting robot? You can now sponsor a robot at REK0. Your logo will appear on the robot at REK0 on September 26th. Do you think Justin Kan will win? Or are you rooting for Hyder Amil? Choose their robot to show your support! Link below👇

REK

22,984 görüntüleme • 8 ay önce

Early results from my AI training runs. I've trained my $200 robot arm on a simple picking task using imitation learning. It has learned to control the robot arm using only camera images and joint states.

Early results from my AI training runs. I've trained my $200 robot arm on a simple picking task using imitation learning. It has learned to control the robot arm using only camera images and joint states.

Alexander Koch

330,559 görüntüleme • 2 yıl önce

Our New Open-Source Quadruped Robot "MEVIUS2" has been accepted to IEEE Robotics and Automation Practice (RA-P)! "MEVIUS2: Practical Open-Source Quadruped Robot with Sheet Metal Welding and Multimodal Perception" Threads👇

Our New Open-Source Quadruped Robot "MEVIUS2" has been accepted to IEEE Robotics and Automation Practice (RA-P)! "MEVIUS2: Practical Open-Source Quadruped Robot with Sheet Metal Welding and Multimodal Perception" Threads👇

Kento Kawaharazuka / 河原塚健人

26,041 görüntüleme • 2 ay önce

📢#𝗥𝗼𝗯𝗼𝗛𝗶𝘃𝗲 - a unified robot learning framework ✅Designed for genralizn first robot-learning era ✅Diverse (500 envs, 8 domain) ✅Single flag for Sim<>Real ✅TeleOper Support ✅Multi-(Skill x Task) realworld dataset ✅pip install robohive 🧵👇

📢#𝗥𝗼𝗯𝗼𝗛𝗶𝘃𝗲 - a unified robot learning framework ✅Designed for genralizn first robot-learning era ✅Diverse (500 envs, 8 domain) ✅Single flag for Sim<>Real ✅TeleOper Support ✅Multi-(Skill x Task) realworld dataset ✅pip install robohive 🧵👇

Vikash Kumar ✈️GTC

50,613 görüntüleme • 2 yıl önce

Hey #NeuraxonMini is literally out! , we manage to "transplant" a Neuraxon 2 bioinspired #AI brain to a physical robot the #SpheroMini moving from our last Scientific Paper (link bellow) by David Vivancos - e/acc & Jose Sánchez for Qubic #OpenScience hybridized with #Aigarth to the real World. First you need a Sphero Education Mini robot about 50$ Then you can try the first cool demos at Hugging Face: 1.- Neuraxon2MiniControl to drive the sphero robot 2.- Neuraxon2MiniWrite to write letters or words with physical moves of the sphero robot using Neuraxon Video Tutorials on youtube later today. Why this matters? Remember we are not building "dead" LLMs we are building #AliveAIs and for that we need to explore how it behaves in reality, from how it learns to how it fails, and what better way that in the emerging field of #robotics , time will tell if your next #HumanoidRobot have a #Neuraxon brain... Read the Paper: Explore the Neuraxon code here: Are you ready for #TrueAI ?

Hey #NeuraxonMini is literally out! , we manage to "transplant" a Neuraxon 2 bioinspired #AI brain to a physical robot the #SpheroMini moving from our last Scientific Paper (link bellow) by David Vivancos - e/acc & Jose Sánchez for Qubic #OpenScience hybridized with #Aigarth to the real World. First you need a Sphero Education Mini robot about 50$ Then you can try the first cool demos at Hugging Face: 1.- Neuraxon2MiniControl to drive the sphero robot 2.- Neuraxon2MiniWrite to write letters or words with physical moves of the sphero robot using Neuraxon Video Tutorials on youtube later today. Why this matters? Remember we are not building "dead" LLMs we are building #AliveAIs and for that we need to explore how it behaves in reality, from how it learns to how it fails, and what better way that in the emerging field of #robotics , time will tell if your next #HumanoidRobot have a #Neuraxon brain... Read the Paper: Explore the Neuraxon code here: Are you ready for #TrueAI ?

David Vivancos - e/acc

29,293 görüntüleme • 3 ay önce

we open sourced the code to transform human videos into robot trajectories, so you can train robots with your hands 👐🏻 we used it in our recent paper R+X: Retrieval and Execution from Everyday Human Videos (ICRA 2025 🇺🇸) link and details in thread 🧵

we open sourced the code to transform human videos into robot trajectories, so you can train robots with your hands 👐🏻 we used it in our recent paper R+X: Retrieval and Execution from Everyday Human Videos (ICRA 2025 🇺🇸) link and details in thread 🧵

Norman Di Palo

10,578 görüntüleme • 1 yıl önce

How can a visuomotor policy learn from internet videos? We introduce Dreamitate, where a robot uses a fine-tuned video diffusion model to dream the future (top) and imitate the dream to accomplish a task (bottom). website: paper:

How can a visuomotor policy learn from internet videos? We introduce Dreamitate, where a robot uses a fine-tuned video diffusion model to dream the future (top) and imitate the dream to accomplish a task (bottom). website: paper:

Ruoshi Liu

50,787 görüntüleme • 1 yıl önce

Scientists have developed a miniature robot that can reposition its fins and legs to swim, glide, and crawl untethered in different deep-sea environments, including the Mariana Trench. Learn more in Science Robotics:

Scientists have developed a miniature robot that can reposition its fins and legs to swim, glide, and crawl untethered in different deep-sea environments, including the Mariana Trench. Learn more in Science Robotics:

Science Magazine

35,546 görüntüleme • 1 yıl önce