Abstract
This paper presents the development of a visual-perception system on a dual-arm mobile robot for human-robot interaction. This visual system integrates three subsystems. Hand gesture recognition is utilized to trigger human-robot interaction. Engagement and intention of the participants are detected and quantified through a cognitive system. Visual servoing uses YOLO to identify the object to be tracked and hybrid, model-based tracking to follow the object’s geometry. The proposed visual-perception system is implemented in the developed dual-arm mobile robot, and experiments are conducted to validate the proposed method’s effects on human-robot interaction applications.
Funder
National Science and Technology Council, Taiwan
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference40 articles.
1. Koceska, N., Koceski, S., Zobel, P.B., Trajkovik, V., and Garcia, N. (2019). A telemedicine robot system for assisted and independent living. Sensors, 19.
2. A study on the deployment of a service robot in an elderly care center;Portugal;Int. J. Soc. Robot.,2019
3. Scholtz, J. (2003, January 6–9). Theory and Evaluation of Human Robot Interactions. Proceedings of the 36th Annual Hawaii International Conference on System Sciences, Big Island, HI, USA.
4. Toward a sociable and dependable elderly care robot: Design, implementation and user study;Lee;J. Intell. Robot. Syst.,2020
5. Implementation and user acceptance of social service robot for an elderly care program in a daycare facility;Takanokura;J. Ambient Intell. Humaniz. Comput.,2021
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