Tactile

[T-RO24] Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects

Integrating robotics into human-centric environments such as homes, necessitates advanced manipulation skills as robotic devices will …

Zihang Zhao, Yuyang Li, Wanlin Li, Zhenghao Qi, Lecheng Ruan, Yixin Zhu, Kaspar Althoefer

[RA-L24] MiniTac: An Ultra-Compact 8 mm Vision-Based Tactile Sensor for Enhanced Palpation in Robot-Assisted Minimally Invasive Surgery

Robot-assisted minimally invasive surgery (RAMIS) provides substantial benefits over traditional open and laparoscopic methods. …

Wanlin Li, Zihang Zhao, Leiyao Cui, Weiyi Zhang, Hangxin Liu, Li-an Li, Yixin Zhu

[RA-L24] MiniTac: An Ultra-Compact 8 mm Vision-Based Tactile Sensor for Enhanced Palpation in Robot-Assisted Minimally Invasive Surgery

[Engineering23] A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps

In this work, we present a reconfigurable data glove design to capture different modes of human hand-object interactions, which are …

Hangxin Liu, Zeyu Zhang, Ziyuan Jiao, Zhenliang Zhang, Minchen Li, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu

[Engineering23] A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps

[ICRA19] High-Fidelity Grasping in Virtual Reality using a Glove-based System

This paper presents a design that jointly provides hand pose sensing, hand localization, and haptic feedback to facilitate real-time …

Hangxin Liu, Zhenliang Zhang, Xu Xie, Yixin Zhu, Yue Liu, Yongtian Wang, Song-Chun Zhu

[ICRA19] High-Fidelity Grasping in Virtual Reality using a Glove-based System

[ICRA18] Unsupervised Learning using Hierarchical Models for Hand-Object Interactions

Contact forces of the hand are visually unobservable, but play a crucial role in understanding hand-object interactions. In this paper, …

Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, Siyuan Qi, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu

[ICRA18] Unsupervised Learning using Hierarchical Models for Hand-Object Interactions

[IROS17] A Glove-based System for Studying Hand-Object Manipulation via Joint Pose and Force Sensing

We present a design of an easy-to-replicate glove-based system that can reliably perform simultaneous hand pose and force sensing in …

Hangxin Liu, Xu Xie, Mark Edmonds, Feng Gao, Yixin Zhu, Veronica Santos, Brandon Rothrock, Song-Chun Zhu

[IROS17] A Glove-based System for Studying Hand-Object Manipulation via Joint Pose and Force Sensing

[IROS17] Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles

Learning complex robot manipulation policies for real-world objects is challenging, often requiring significant tuning within …

Mark Edmonds, Feng Gao, Xu Xie, Hangxin Liu, Siyuan Qi, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu

[IROS17] Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles