5 citations · 12 across the 10 of their papers we have counts for
4 papers · 1 filter
Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards
Irmak Guzey, Yinlong Dai, Georgy Savva +2
Training robots directly from human videos is an emerging area in robotics and computer vision. While there has been notable progress with two-fingered grippers, learning autonomou…
Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
Venkatesh Pattabiraman, Yifeng Cao, Siddhant Haldar +2
While visuomotor policy learning has advanced robotic manipulation, precisely executing contact-rich tasks remains challenging due to the limitations of vision in reasoning about p…
AnySkin: Plug-and-play Skin Sensing for Robotic Touch
Raunaq Bhirangi, Venkatesh Pattabiraman, Enes Erciyes +3
While tactile sensing is widely accepted as an important and useful sensing modality, its use pales in comparison to other sensory modalities like vision and proprioception. AnySki…
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman +4
Reasoning from sequences of raw sensory data is a ubiquitous problem across fields ranging from medical devices to robotics. These problems often involve using long sequences of ra…