RoboPapers
@RoboPapers
@chris_j_paxton & @micoolcho geeking out weekly with authors of robotics AI papers. On YouTube / X / Spotify
Feel episode dropping soon! Geeking out with @YutongBAI1002 on Whole-Body Conditioned Egocentric Video Prediction dannytran123.github.io/PEVA/ Co-hosted by @micoolcho @chris_j_paxton
Today, most robot learning from demonstration predicts action chunks, small robot action trajectory. Doing this is crucial for better performance, and has all kinds of advantages. But how can we apply these advantages to reinforcement learning? We talked to @zhiyuan_zhou_ and…
Full episode dropping soon! Geeking out with @zhiyuan_zhou_ @qiyang_li on Reinforcement Learning with Action Chunking colinqiyangli.github.io/qc/ Co-hosted by @micoolcho @chris_j_paxton
Full episode dropping soon! Geeking out with @zhiyuan_zhou_ @qiyang_li on Reinforcement Learning with Action Chunking colinqiyangli.github.io/qc/ Co-hosted by @micoolcho @chris_j_paxton
Learning policies via imitation is extremely potent, but making sure those policies will generalize to out of distribution settings is still very hard. SAILOR proposes a solution in learning to search via a learned world model, which outperforms existing imitation approaches.…
Full episode dropping soon! Geeking out with @pranav_atreya @KarlPertsch on RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies robo-arena.github.io Co-hosted by @micoolcho @chris_j_paxton
Full episode dropping soon! Geeking out with @pranav_atreya @KarlPertsch on RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies robo-arena.github.io Co-hosted by @micoolcho @chris_j_paxton
Full episode dropping soon! Geeking out with @g_k_swamy @arnavkj95 @vib2810_ on 𝚂𝙰𝙸𝙻𝙾𝚁: Robust Imitation via Learning to Search gokul.dev/sailor/ Co-hosted by @micoolcho @chris_j_paxton
Full episode dropping soon! Geeking out with @g_k_swamy @arnavkj95 @vib2810_ on 𝚂𝙰𝙸𝙻𝙾𝚁: Robust Imitation via Learning to Search gokul.dev/sailor/ Co-hosted by @micoolcho @chris_j_paxton
We’ve all seen videos of humanoid robots performing single tasks that are very impressive, like dancing or karate. But training humanoid robots to perform a wide range of complex motions is difficult. GMT is a general-purpose policy which can learn a wide range of robot motions.…
Full episode dropping soon! Geeking out with @C___eric417 GMT: General Motion Tracking for Humanoid Whole-Body Control gmt-humanoid.github.io Co-hosted by @micoolcho @chris_j_paxton
Full episode dropping soon! Geeking out with @C___eric417 GMT: General Motion Tracking for Humanoid Whole-Body Control gmt-humanoid.github.io Co-hosted by @micoolcho @chris_j_paxton
Most robots are fixed in one location, with cameras at the correct location to solve whatever their task is going to be. This makes setting up the camera in the correct location a key part of task setup; it also makes the task unnecessarily difficult. Ideally, robots would move…
Full episode dropping soon! Geeking out with @Haoyu_Xiong_ on Vision in Action - Learning Active Perception from Human Demonstrations vision-in-action.github.io Co-hosted by @micoolcho @chris_j_paxton
Full episode dropping soon! Geeking out with @Haoyu_Xiong_ on Vision in Action - Learning Active Perception from Human Demonstrations vision-in-action.github.io Co-hosted by @micoolcho @chris_j_paxton
How can we train humanoid mobile manipulators to perform complex manipulation tasks in the real world? Humanoids must be able to coordinate their arms and legs to perform complex tasks, but learning such skills via reinforcement learning is challenging. In R2S2, @ericyi0124…
Full episode dropping soon! Geeking out with @ericyi0124 on R2S2: Unleashing Humanoid Reaching Potential via Real-world-Ready Skill Space zzk273.github.io/R2S2/ Co-hosted by @micoolcho @chris_j_paxton
United States Trends
- 1. Branch 36.2K posts
- 2. Chiefs 111K posts
- 3. Red Cross 48.3K posts
- 4. Mahomes 34.4K posts
- 5. Exceeded 5,911 posts
- 6. Binance DEX 5,135 posts
- 7. #LaGranjaVIP 80.6K posts
- 8. Rod Wave 1,559 posts
- 9. Air Force One 53.7K posts
- 10. #TNABoundForGlory 58.5K posts
- 11. #LoveCabin 1,332 posts
- 12. Tel Aviv 56.9K posts
- 13. Bryce Miller 4,580 posts
- 14. Eitan Mor 14K posts
- 15. Alon Ohel 13.9K posts
- 16. LaPorta 11.8K posts
- 17. Dan Campbell 4,034 posts
- 18. Goff 13.9K posts
- 19. Matan Angrest 13.3K posts
- 20. Omri Miran 14.2K posts
Something went wrong.
Something went wrong.