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Raunaq M. Bhirangi

4 accepted papers

2025

AnySkin: Plug-and-Play Skin Sensing for Robotic Touch

ICRA 2025

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. AnySkin addresses the critical challenges that impede the use of tactile sensing - versatility, replaceability, and data reusa

Cited by 40SourcecodeScholar
2025

Bridging the Human to Robot Dexterity Gap Through Object-Oriented Rewards

ICRA 2025

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 autonomous tasks without teleoperation remains a difficult problem for multi-fingered robot hands. A key reason for this difficul

Cited by 26SourcecodeScholar
2023

All the Feels: A Dexterous Hand With Large-Area Tactile Sensing

RA-L 2023

High cost and lack of reliability have precluded the widespread adoption of dexterous hands in robotics. Furthermore, the lack of a viable tactile sensor capable of sensing over the entire area of the hand impedes the rich, low-level feedback that would improve the learning of dexterous manipulation

Cited by 22SourceScholar
2020

Inferring Task-Space Central Pattern Generator Parameters for Closed-loop Control of Underactuated Robots

ICRA 2020poster

The complexity associated with the control of highly-articulated legged robots scales quickly as the number of joints increases. Traditional approaches to the control of these robots are often impractical for many real-time applications. This work thus presents a novel sampling-based planning approa…

Cited by 2SourceScholar