Rich and robust human-robot interaction on gesture recognition for assembly tasks

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Lim, GH (Author) Other; Pedrosa, E (Author) Other; Amaral, F (Author) Other; lau, n (Author) FCUP; Pereira, A (Author) Other; Dias, P (Author) Other; Azevedo, JL (Author) Other; Cunha, B (Author) Other; reis, lp (Author) REIT

Conference proceedings International

Title: 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2017, Coimbra, Portugal, April 26-28, 2017

Pages: 159-164

Indexing

Scopus - 12 Citations

Other information

Authenticus ID: P-00M-YKE

DOI: 10.1109/icarsc.2017.7964069

Abstract (EN): The adoption of robotics technology has the potential to advance quality, efficiency and safety for manufacturing enterprises, in particular small and medium-sized enterprises. This paper presents a human-robot interaction (HRI) system that enables a robot to receive commands, provide information to a human teammate and ask them a favor. In order to build a robust HRI system based on gesture recognition, three key issues are addressed: richness, multiple feature fusion and failure verification. The developed system has been tested and validated in a realistic lab with a real mobile manipulator and a human teammate to solve a puzzle game. © 2017 IEEE.

Language: English

Type (Professor's evaluation): Scientific