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arXiv:2605.28033

How Should We Teach Robots? A Comparison of Kinesthetic, Joystick, and Gesture-Based Teaching

How Should We Teach Robots? A Comparison of Kinesthetic, Joystick, and Gesture-Based Teaching

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著者: Petr Vanc, Jan Kristof Behrens, Václav Hlaváč, Karla Stepanova

分類: cs.RO

原文アブストラクト

Instructing robots from demonstrations can be done through different teaching modalities, each with different usability and performance trade-offs. This paper compares kinesthetic guidance, joystick teleoperation, and hand gestures in a user study with eight participants. We evaluate replay success, modified NASA-TLX workload, and common teaching errors across three manipulation tasks. Kinesthetic guidance produced the shortest demonstrations, lowest workload, and highest success on the more orientation-sensitive and contact-rich tasks. Joystick teleoperation performed best on simple peg picking. Hand-gesture teaching, although less reliable overall, performed better than expected and in some cases achieved results comparable to kinesthetic guidance.