DocumentCode :
2246746
Title :
Human factors for robot safety assessment
Author :
Najmaei, N. ; Lele, S. ; Kermani, M.R. ; Sobot, R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
fYear :
2010
fDate :
6-9 July 2010
Firstpage :
539
Lastpage :
544
Abstract :
This article presents the results of a study on including human factors in assessment of the level of danger involved in a robot operation. A dynamic risk assessment method, which considers all effective factors in a collision, is essential for planning and control of the human-safe robots. In this regard, the visibility of the robot in the human eyes can significantly effect the probability of collision. To this end, we propose a risk index which not only considers the physical factors effective in a collision, but also includes the direction of eye gaze and human body orientation. Also two sensory systems for measuring these values are introduced. To this effect, a non-invasive brain-machine-interface prototype system which allows the simple control of a switch is presented. This system creates a feedback signal that is a function of the position of the human eyes for the modulation of the risk assessment. Initial results suggest possible benefits of using this approach in human-safe systems.
Keywords :
collision avoidance; feedback; human factors; human-robot interaction; mobile robots; risk management; safety; collision probability; dynamic risk assessment method; eye gaze direction; feedback signal; human body orientation; human factors; human-safe robot; noninvasive brain-machine-interface prototype system; physical factors; risk index; robot safety assessment; sensory system; Collision avoidance; Electroencephalography; Humans; Indexes; Robots; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2010 IEEE/ASME International Conference on
Conference_Location :
Montreal, ON
Print_ISBN :
978-1-4244-8031-9
Type :
conf
DOI :
10.1109/AIM.2010.5695753
Filename :
5695753
Link To Document :
بازگشت