Loading video...

Video Failed to Load

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

Where can linearized dynamics be trusted w/contact? MIT's "Contact Trust Region" answers this using manipulation theory, differentiable simulation & control. It enables manipulation w/less compute than RL, powering robots to be more energy-efficient:

MIT CSAIL

343,222 subscribers

20,180 views • 3 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Robots Using Their Feet to Manipulate Objects ETH Zurich researchers have advanced "pedipulation," where legged robots use their feet for manipulation instead of robotic arms. Their new approach trains robots to navigate and manipulate objects while avoiding static and dynamic obstacles. Tested on the ANYmal quadruped, the method enables precise foot control in complex, unseen environments after minimal training in simulation. Will this research open up new possibilities for efficient, obstacle-aware robot manipulation?

Robots Using Their Feet to Manipulate Objects ETH Zurich researchers have advanced "pedipulation," where legged robots use their feet for manipulation instead of robotic arms. Their new approach trains robots to navigate and manipulate objects while avoiding static and dynamic obstacles. Tested on the ANYmal quadruped, the method enables precise foot control in complex, unseen environments after minimal training in simulation. Will this research open up new possibilities for efficient, obstacle-aware robot manipulation?

Circuit

11,802 views • 1 year ago

How can robots learn generalizable manipulation skills for diverse objects? Going beyond pick-and-place, our recent work “HACMan” enables complex interactions for unseen objects, such as flipping, pushing, or tilting, using spatial action maps + RL with point clouds. (w/ @MetaAI)

How can robots learn generalizable manipulation skills for diverse objects? Going beyond pick-and-place, our recent work “HACMan” enables complex interactions for unseen objects, such as flipping, pushing, or tilting, using spatial action maps + RL with point clouds. (w/ @MetaAI)

Wenxuan Zhou

49,857 views • 3 years ago

The RWA tokenization market has hit $24B+ this year. To scale even more, it needs infrastructure that’s secure, scalable & trusted. That’s where Hedera comes in. The trust layer powering transparent, efficient tokenization.

The RWA tokenization market has hit $24B+ this year. To scale even more, it needs infrastructure that’s secure, scalable & trusted. That’s where Hedera comes in. The trust layer powering transparent, efficient tokenization.

Hedera

44,155 views • 8 months ago

📢📢📢 Excited to release ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning (CVPR25). 🤏🤙✌️With ManipTrans, we can transfer dexterous manipulation skills into robotic hands in simulation and deploy them on a real robot, using a residual policy learned for dex manipulation. 🤖🤖🤖The video below illustrates how the MoCap data can be transferred to Inspire, Shadow, Xhand, Allegro, and Mano. With ManipTrans, we can scale up dex manip data greatly with minimal effort. For more details, please check our -webpage: -code: -huggingface:

📢📢📢 Excited to release ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning (CVPR25). 🤏🤙✌️With ManipTrans, we can transfer dexterous manipulation skills into robotic hands in simulation and deploy them on a real robot, using a residual policy learned for dex manipulation. 🤖🤖🤖The video below illustrates how the MoCap data can be transferred to Inspire, Shadow, Xhand, Allegro, and Mano. With ManipTrans, we can scale up dex manip data greatly with minimal effort. For more details, please check our -webpage: -code: -huggingface:

Siyuan Huang

20,918 views • 1 year ago

This is WILD. Boston Dynamics robots can dance with more rhythm than most of us... I’m not sure whether to be impressed or disturbed. (sound on 🔊)

This is WILD. Boston Dynamics robots can dance with more rhythm than most of us... I’m not sure whether to be impressed or disturbed. (sound on 🔊)

Lorenzo Green 〰️

3,849,527 views • 3 years ago

What structural task representation enables multi-stage, in-the-wild, bimanual, reactive manipulation? Introducing ReKep: LVM to label keypoints & VLM to write keypoint-based constraints, solve w/ optimization for diverse tasks, w/o task-specific training or env models. 🧵👇

What structural task representation enables multi-stage, in-the-wild, bimanual, reactive manipulation? Introducing ReKep: LVM to label keypoints & VLM to write keypoint-based constraints, solve w/ optimization for diverse tasks, w/o task-specific training or env models. 🧵👇

Wenlong Huang

190,914 views • 1 year ago

Changing a light bulb with a robot! 💡 Researchers at the Korea Institute of Machinery & Materials developed a gripper that can handle complex manipulation tasks like bulb and bolt installation. It has three fingers with nine degrees of freedom (9 DoF), allowing precise control. Each finger moves using a special linkage system that enables flexible motion. The gripper can grasp objects of different shapes and adjust their positions accurately. Tests showed that it can lift up to 12 kg and apply a fingertip force of 40 N with high precision. Complex manipulation can be handled by robots! 🦾

Changing a light bulb with a robot! 💡 Researchers at the Korea Institute of Machinery & Materials developed a gripper that can handle complex manipulation tasks like bulb and bolt installation. It has three fingers with nine degrees of freedom (9 DoF), allowing precise control. Each finger moves using a special linkage system that enables flexible motion. The gripper can grasp objects of different shapes and adjust their positions accurately. Tests showed that it can lift up to 12 kg and apply a fingertip force of 40 N with high precision. Complex manipulation can be handled by robots! 🦾

Lukas Ziegler

27,548 views • 1 year ago

Unmanned mining truck from XCMG using HW tech operating in Northern China. Entirely automated & can change battery packs to continue to operate. Hard to be more efficient than this in mining.

Unmanned mining truck from XCMG using HW tech operating in Northern China. Entirely automated & can change battery packs to continue to operate. Hard to be more efficient than this in mining.

tphuang

15,059 views • 10 months ago

See Spot perform dynamic whole-body manipulation. Using a combination of reinforcement learning (RL) and sampling-based control, the robot is able to autonomously drag, roll, and stack tires weighing 15 kg (33 lb), well above its maximum arm lift capacity. Learn more about coordinating locomotion and manipulation processes:

See Spot perform dynamic whole-body manipulation. Using a combination of reinforcement learning (RL) and sampling-based control, the robot is able to autonomously drag, roll, and stack tires weighing 15 kg (33 lb), well above its maximum arm lift capacity. Learn more about coordinating locomotion and manipulation processes:

RAI Institute

87,430 views • 8 months ago

Amazon is training humanoids to move boxes. Makes sense! OmniRetarget is a data generation engine that enables complex loco-manipulation for humanoids. It uses offline retargeting from human MoCap datasets and augments data from single demos to produce 8 hours of trajectories that train RL policies in simulation, transferred zero-shot to real robots. Amazon FAR is the primary affiliation for the paper:

Amazon is training humanoids to move boxes. Makes sense! OmniRetarget is a data generation engine that enables complex loco-manipulation for humanoids. It uses offline retargeting from human MoCap datasets and augments data from single demos to produce 8 hours of trajectories that train RL policies in simulation, transferred zero-shot to real robots. Amazon FAR is the primary affiliation for the paper:

The Humanoid Hub

106,447 views • 9 months ago

Robots need to be able to apply pressure and make contact with objects as needed in order to accomplish their tasks. From compliance to working safely around humans to whole-body manipulation of heavy objects, combining force and position control can dramatically expand the capabilities of robots. This is especially true for legged robots, which have so much ability to exert forces on the world around them. But how do we train robots which can do this? Baoxiong Jia @ ICML 🇰🇷 tells us more in our discussion of his team’s recent, Best Paper Award winning work on learning a unified policy for position and force control, called UniFP. To learn more, watch Episode #49 of RoboPapers, hosted by Michael Cho - Rbt/Acc and Chris Paxton.

Robots need to be able to apply pressure and make contact with objects as needed in order to accomplish their tasks. From compliance to working safely around humans to whole-body manipulation of heavy objects, combining force and position control can dramatically expand the capabilities of robots. This is especially true for legged robots, which have so much ability to exert forces on the world around them. But how do we train robots which can do this? Baoxiong Jia @ ICML 🇰🇷 tells us more in our discussion of his team’s recent, Best Paper Award winning work on learning a unified policy for position and force control, called UniFP. To learn more, watch Episode #49 of RoboPapers, hosted by Michael Cho - Rbt/Acc and Chris Paxton.

RoboPapers

44,794 views • 7 months ago

Since the quoted post is blowing up, here is a more in-depth breakdown of why I personally believe post contact direction & channeling all of your energy “through” w/ medball movement prep is vital to creating efficient movement patterns & direction in the swing. Listen below👇

Since the quoted post is blowing up, here is a more in-depth breakdown of why I personally believe post contact direction & channeling all of your energy “through” w/ medball movement prep is vital to creating efficient movement patterns & direction in the swing. Listen below👇

Anderson Miller

65,314 views • 8 months ago

This is how Amazon delivery bot will ring your doorbell. It is done by leveraging the same loco-manipulation framework that enables humanoid robots to move boxes, developed by Amazon's Frontier AI & Robotics team.

This is how Amazon delivery bot will ring your doorbell. It is done by leveraging the same loco-manipulation framework that enables humanoid robots to move boxes, developed by Amazon's Frontier AI & Robotics team.

The Humanoid Hub

196,178 views • 9 months ago

Researchers from RAI Institute present Diffuse-CLoC, a new control policy that fuses kinematic motion diffusion models with physics-based control to produce motions that are both physically realistic and precisely controllable. This breakthrough moves us closer to developing generalist policies that enable humanoid robots to perform diverse tasks, including dynamic locomotion and contact-rich manipulation, in a natural-looking and robust way. Learn more at

Researchers from RAI Institute present Diffuse-CLoC, a new control policy that fuses kinematic motion diffusion models with physics-based control to produce motions that are both physically realistic and precisely controllable. This breakthrough moves us closer to developing generalist policies that enable humanoid robots to perform diverse tasks, including dynamic locomotion and contact-rich manipulation, in a natural-looking and robust way. Learn more at

RAI Institute

13,426 views • 11 months ago

Not everything is as it seems 🤖 Evolving #GenerativeAI enables scammers to create ultra-realistic human avatars using voice, image, and text manipulation. #ThinkTwice: Verify identities through multiple channels and be cautious of requests, even from "familiar" faces.

Not everything is as it seems 🤖 Evolving #GenerativeAI enables scammers to create ultra-realistic human avatars using voice, image, and text manipulation. #ThinkTwice: Verify identities through multiple channels and be cautious of requests, even from "familiar" faces.

INTERPOL

25,469 views • 1 year ago

Robotics just hit a dexterity milestone 🤯! Sharpa Robotics demonstrated autonomous dual-hand apple peeling using its new MoDE-VLA system. Using human-like dexterous hands with tactile sensing, the robot can feel contact and adjust its grip while rotating and peeling the apple. While the system achieved 30% success, the 73% peel completion rate shows robots are starting to master the fine, contact-rich manipulation needed for real world tasks.

Robotics just hit a dexterity milestone 🤯! Sharpa Robotics demonstrated autonomous dual-hand apple peeling using its new MoDE-VLA system. Using human-like dexterous hands with tactile sensing, the robot can feel contact and adjust its grip while rotating and peeling the apple. While the system achieved 30% success, the 73% peel completion rate shows robots are starting to master the fine, contact-rich manipulation needed for real world tasks.

SciTech Era

39,156 views • 3 months ago

part 2 How is he supposed to contact the kid when mom has let it be known she doesn’t want contact w dad? She doesn’t want him to know her address or phone numbers so how is it possible?

part 2 How is he supposed to contact the kid when mom has let it be known she doesn’t want contact w dad? She doesn’t want him to know her address or phone numbers so how is it possible?

Movie Magic

64,934 views • 21 days ago

No teleoperation. No simulation. No RL. Multi-fingered robot manipulation policies directly by watching videos of humans with Aria glasses on. It was super fun working on this with Irmak Guzey's lead!! 1/n

No teleoperation. No simulation. No RL. Multi-fingered robot manipulation policies directly by watching videos of humans with Aria glasses on. It was super fun working on this with Irmak Guzey's lead!! 1/n

Homanga Bharadhwaj

51,532 views • 7 months ago

ManiFeel is a benchmark for contact-rich manipulation tasks. Force- and tactile-based tasks with occlusions and partially-observable state are going to be crucial for true general purpose robotics. Website:

ManiFeel is a benchmark for contact-rich manipulation tasks. Force- and tactile-based tasks with occlusions and partially-observable state are going to be crucial for true general purpose robotics. Website:

Chris Paxton

12,063 views • 4 months ago