Maniwav: Learning robot manipulation from in-the-wild audio-visual data

Z Liu, C Chi, E Cousineau, N Kuppuswamy… - … Conference on Robot …, 2024‏ - openreview.net
Audio signals provide rich information for the robot interaction and object properties through
contact. These information can surprisingly ease the learning of contact-rich robot …

Sonicsense: Object perception from in-hand acoustic vibration

J Liu, B Chen - ar**–Experience Forest for Robotic Finger Movement Strategies
T Chen, Y Sun - IEEE Robotics and Automation Letters, 2024‏ - ieeexplore.ieee.org
This letter introduces a novel Experience Forest algorithm designed for multi-object gras**
(MOG). Different from single-object gras**, for MOG, the hand poses of a few steps before …

CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data

S Zhong, N Fazeli, D Berenson - arxiv preprint arxiv:2305.08042, 2023‏ - arxiv.org
This paper proposes a novel method for estimating the set of plausible poses of a rigid
object from a set of points with volumetric information, such as whether each point is in free …