From the 1 of 10 linked papers with an AI index.
1 citations · 1 across the 3 of their papers we have counts for
10 papers
Towards Human-level Dexterous Teleoperation
Puhao Li, Zeyuan Chen, Yingying Wu +9
The paper presents TeleDexter, a hand‑object co‑tracking controller that learns to map human teleoperation intent into low‑level contact actions for dexterous robot hands, achievin…
TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation
Zihang Zhao, Zhenghao Qi, Yuyang Li +4
Adept manipulation of articulated objects is essential for robots to operate successfully in human environments. Such manipulation requires both effectiveness--reliable operation d…
Simultaneous Tactile-Visual Perception for Learning Multimodal Robot Manipulation
Yuyang Li, Yinghan Chen, Zihang Zhao +4
Robotic manipulation requires both rich multimodal perception and effective learning frameworks to handle complex real-world tasks. See-through-skin (STS) sensors, which combine ta…
Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation
Yuyang Li, Wenxin Du, Chang Yu +6
Tactile sensing is crucial for achieving human-level robotic capabilities in manipulation tasks. As a promising solution, Vision-Based Tactile Sensors (VBTSs) offer high spatial re…
Afford-X: Generalizable and Slim Affordance Reasoning for Task-oriented Manipulation
Xiaomeng Zhu, Yuyang Li, Leiyao Cui +4
Object affordance reasoning, the ability to infer object functionalities based on physical properties, is fundamental for task-oriented planning and activities in both humans and A…
Embedding high-resolution touch across robotic hands enables adaptive human-like grasping
Zihang Zhao, Wanlin Li, Yuyang Li +9
Developing robotic hands that adapt to real-world dynamics remains a fundamental challenge in robotics and machine intelligence. Despite significant advances in replicating human h…