DocumentCode
3382879
Title
Adaptive assist for mobile vehicle operation on human perception
Author
Igarashi, Hiroshi
Author_Institution
Dept. of Electron. & Electron. Eng., Tokyo Denki Univ., Tokyo
fYear
2008
fDate
26-28 March 2008
Firstpage
405
Lastpage
410
Abstract
A purpose of our research is to realize teleoperation assist to improve the performance with operator´s initiative. One of advantages of teleoperation system is utilized human abilities which are global recognition, planning, prediction and so on. However, the operator is required to get skills for suitable operation, and assist from the system is important. Although effects of the operation assist are generally contemplated by system designers, it is not always available because of depending on variable operator´s characteristics and environment condition. Solving this problem, adaptive assist is required, however, autonomous robot motion may disturb to give an initiative to human operator, that is, human abilities cannot be brought out. Therefore, assist by modification of robot dynamics parameters has been proposed. Because human operators tries to adapt and learn the robot dynamics instinctively, such assist often brings about discomfort and less maneuverability. Consequently, human awareness characteristics are considered and assist technique without human perception using a cognitive science approach is addressed. In this paper, a new assist technique without awareness is proposed.
Keywords
adaptive control; mobile robots; motion control; robot dynamics; telerobotics; adaptive assist; autonomous robot motion; cognitive science approach; human perception; mobile vehicle operation; robot dynamics parameters; teleoperation assist; Automotive engineering; Calibration; Cognitive robotics; Humans; Intelligent robots; Man machine systems; Mobile robots; Robot motion; Robot sensing systems; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Motion Control, 2008. AMC '08. 10th IEEE International Workshop on
Conference_Location
Trento
Print_ISBN
978-1-4244-1702-5
Electronic_ISBN
978-1-4244-1703-2
Type
conf
DOI
10.1109/AMC.2008.4516101
Filename
4516101
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