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.
@article{arxiv.2605.28033,
title = {How Should We Teach Robots? A Comparison of Kinesthetic, Joystick, and Gesture-Based Teaching},
author = {Petr Vanc and Jan Kristof Behrens and Václav Hlaváč and Karla Stepanova},
journal= {arXiv preprint arXiv:2605.28033},
year = {2026}
}
Comments
7 pages, 3 figures, 3 tables, presented at Cognition and Artificial Life (CAL/KUZ) 2026 conference at Chateau Trest