1 citations · 1 across the 4 of their papers we have counts for
5 papers
Learning to Absorb Corrections: Critic-Weighted Residual Flow for Vision-Based Insertion
Yiqing Yuan, Zhi Li, Jinrong Yang +5
Vision-based insertion requires correcting alignment errors while retaining useful behavior learned from demonstrations. We present ACT--Flow, an online learning framework that cou…
RAPID Hand Prototype: Design of an Affordable, Fully-Actuated Biomimetic Hand for Dexterous Teleoperation
Zhaoliang Wan, Zida Zhou, Zetong Bi +3
This paper addresses the scarcity of affordable, fully-actuated five-fingered hands for dexterous teleoperation, which is crucial for collecting large-scale real-robot data within…
RAPID Hand: A Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platform for Generalist Robot Autonomy
Zhaoliang Wan, Zetong Bi, Zida Zhou +7
This paper addresses the scarcity of low-cost but high-dexterity platforms for collecting real-world multi-fingered robot manipulation data towards generalist robot autonomy. To ac…
Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space
Jinrong Yang, Kexun Chen, Zhuoling Li +9
Imitation learning (IL) with human demonstrations is a promising method for robotic manipulation tasks. While minimal demonstrations enable robotic action execution, achieving high…
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
Zhaoliang Wan, Yonggen Ling, Senlin Yi +9
This paper addresses the scarcity of large-scale datasets for accurate object-in-hand pose estimation, which is crucial for robotic in-hand manipulation within the ``Perception-Pla…