DocumentCode
2247924
Title
Expression method of human locomotion records for path planning and control of human-symbiotic robot system based on special existence probability model of humans
Author
Fukui, Rui ; Morishita, Hiroshi ; Sato, Tomomasa
Author_Institution
Tokyo Univ., Japan
Volume
3
fYear
2003
fDate
14-19 Sept. 2003
Firstpage
4178
Abstract
In this paper, a novel describing method of human locomotion trajectory record was proposed, and methods of its application to the path planning and control of human-symbiotic mobile robots were indicated. The novel describing method, named as Existence Record Probability Map (abbreviated ERPM hereafter), was generated through the following three steps: 1) measuring human locomotion path using pressure distribution sensor floor, 2) applying a probability potential model of human body to the measured path, and 3) integrating such probability potential maps for some time period. From the ERPM, an existence probability value, ridge lines of the potential, and the Q-value at a point on a ridge line, were elicited. As a usage of these information, methods of finding a position where a collision probability of a mobile robot and a human is high, finding major trajectories of human locomotion, and evaluation of path width to avoid collision with a human, were indicated.
Keywords
collision avoidance; man-machine systems; mobile robots; path planning; position control; pressure sensors; ERPM; collision avoidance; existence probability value; existence record probability map; human locomotion path; human locomotion trajectory record; human-symbiotic mobile robots; mobile robots; path planning; pressure distribution sensor; probability potential maps; probability potential model; Anthropometry; Biological system modeling; Humans; Mobile robots; Path planning; Pressure measurement; Robot control; Sensor phenomena and characterization; Time measurement; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
ISSN
1050-4729
Print_ISBN
0-7803-7736-2
Type
conf
DOI
10.1109/ROBOT.2003.1242245
Filename
1242245
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