This paper presents a novel teleoperation system with force feedback, utilizing consumer-grade HTC Vive Trackers 2.0. The system integrates a custom-built controller, a UR3 robotic arm, and a Robotiq gripper equipped with custom-designed fingers to ensure uniform pressure distribution on an embedded force sensor. Real-time compression force data is transmitted to the controller, enabling operators to perceive the gripping force applied to objects. Experimental results demonstrate that the system enhances task success rates and provides a low-cost solution for large-scale imitation learning data collection without compromising affordability.
Satsevich et al. (Wed,) studied this question.
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