Kinesthetic Teaching in Robotics: a Mixed Reality Approach

Autor:	Macci`o, Simone, Shaaban, Mohamad, Carf`ı, Alessandro, Mastrogiovanni, Fulvio
Rok vydání:	2024
Předmět:	Computer Science - Robotics
Druh dokumentu:	Working Paper
Popis:	As collaborative robots become more common in manufacturing scenarios and adopted in hybrid human-robot teams, we should develop new interaction and communication strategies to ensure smooth collaboration between agents. In this paper, we propose a novel communicative interface that uses Mixed Reality as a medium to perform Kinesthetic Teaching (KT) on any robotic platform. We evaluate our proposed approach in a user study involving multiple subjects and two different robots, comparing traditional physical KT with holographic-based KT through user experience questionnaires and task-related metrics. Comment: This paper has been published in the Proceedings of the 2024 IEEE International Conference on Human and Robot Interactive Communication (RO-MAN), Pasadena, CA, USA, August 2024
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2409.02305 Zobrazit plný text záznamu View this record from Arxiv