A Proactive Strategy for Safe Human-Robot Collaboration based on a Simplified Risk Analysis

Autor: Audun Sanderud, Trygve Thomessen, Hisashi Osumi, Mihoko Niitsuma
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Modeling, Identification and Control, Vol 36, Iss 1, Pp 11-21 (2015)
Druh dokumentu: article
ISSN: 0332-7353
1890-1328
DOI: 10.4173/mic.2015.1.2
Popis: In an increasing demand for human-robot collaboration systems, the need for safe robots is crucial. This paper presents a proactive strategy to enable an awareness of the current risk for the robot. The awareness is based upon a map of historically occupied space by the operator. The map is built based on a risk evaluation of each pose presented by the operator. The risk evaluation results in a risk field that can be used to evaluate the risk of a collaborative task. Based on this risk field, a control algorithm that constantly reduces the current risk within its task constraints was developed. Kinematic redundancy was exploited for simultaneous task performance within task constraints, and risk minimization. Sphere-based geometric models were used both for the human and robot. The strategy was tested in simulation, and implemented and experimentally tested on a NACHI MR20 7-axes industrial robot.
Databáze: Directory of Open Access Journals