dexterous manipulation 1domain randomization 1hand-object interaction 1reinforcement learning 1teleoperation 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.RO2026
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…
cs.RO2025
SafeFall: Learning Protective Control for Humanoid Robots
Ziyu Meng, Tengyu Liu, Le Ma +4
Bipedal locomotion makes humanoid robots inherently prone to falls, causing catastrophic damage to the expensive sensors, actuators, and structural components of full-scale robots.…
cs.RO2025
ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models
Puhao Li, Yingying Wu, Ziheng Xi +8
Learning real-world robotic manipulation is challenging, particularly when limited demonstrations are available. Existing methods for few-shot manipulation often rely on simulation…