ROHCSYSYJun 13

A Bilateral Teleoperation Framework for Dexterous Manipulation

arXiv:2606.154347.8
Predicted impact top 57% in RO · last 90 daysOriginality Synthesis-oriented
AI Analysis

This work provides a practical teleoperation system and foundation for collecting high-quality demonstrations for learning-from-demonstration research, but the results are primarily qualitative and incremental.

The paper presents a modular bilateral teleoperation framework for dexterous manipulation that integrates operator-side input with robot-side dexterous hand and compliant arm. The system is validated through a real-world task, demonstrating coordinated arm-hand control and contact-aware interaction.

Dexterous teleoperation requires precise arm-hand coordination, low-latency feedback, and robust interaction in real-world contact-rich environments. This paper presents a modular bilateral teleoperation framework that integrates operator-side input interfaces with a robot-side dexterous hand and compliant robotic arm in a unified control architecture. The system supports position-based hand retargeting, differential arm control, multi-scale haptic feedback, and shared control for stable manipulation. We validate the framework through a real-world dexterous manipulation task, highlighting coordinated arm-hand control and contact-aware interaction. Beyond feasibility, we identify key design insights related to cross-embodiment mismatch, haptic feedback granularity, and shared control. The proposed platform provides a practical teleoperation system and a foundation for collecting high-quality demonstrations for future learning-from-demonstration research.

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