CDF-Glove: A Cable-Driven Force Feedback Glove for Dexterous Teleoperation
Huayue Liang, Ruochong Li, Yaodong Yang, Long Zeng, Yuanpei Chen, Xueqian Wang

TL;DR
CDF-Glove is an affordable, lightweight cable-driven force feedback glove that enhances dexterous teleoperation by providing real-time haptic feedback, significantly improving task success rates and enabling better imitation learning.
Contribution
The paper introduces CDF-Glove, a novel low-cost force feedback glove with validated control models, improving teleoperation performance and data collection for imitation learning.
Findings
Achieves 0.4° joint repeatability.
Provides 200 ms force feedback latency.
Increases task success rate by 4x with feedback.
Abstract
High-quality teleoperated demonstrations are a primary bottleneck for imitation learning (IL) in dexterous manipulation. However, haptic feedback provides operators with real-time contact information, enabling real-time finger posture adjustments, and thereby improving demonstration quality. Existing dexterous teleoperation platforms typically omit haptic feedback and remain bulky and expensive. We introduce CDF-Glove, a lightweight and low cost cable-driven force-feedback glove. The real-time state is available for 20 finger degrees of freedom (DoF), of which 16 are directly sensed and 4 are passively coupled (inferred from kinematic constraints). We develop a kinematic model and control stack for the glove, and validate them across multiple robotic hands with diverse kinematics and DoF. The CDF-Glove achieves distal joint repeatability of 0.4 degrees, and delivers about 200 ms force…
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Taxonomy
TopicsRobot Manipulation and Learning · Teleoperation and Haptic Systems · Soft Robotics and Applications
