DocumentCode :
1946331
Title :
Analysis of environmental factors limiting humans´ obstacle avoidance ability
Author :
Shang, Tao ; Wang, Shuoyu
Author_Institution :
Dept. of Intelligent Mech. Syst. Eng., Kochi Univ. of Technol., Japan
fYear :
2005
fDate :
19-21 May 2005
Firstpage :
369
Lastpage :
374
Abstract :
We conjecture that action intelligence of humans could contribute to the path-planning problem of autonomous mobile robot. In order to achieve the imitation of such action intelligence on a robot, besides action knowledge acquisition, we need to further learn more about the characteristics of humans´ action intelligence. In this paper, from the viewpoint of attributes of an obstacle such as number, size and speed, we focus on analysis of environmental factors that could restrict humans´ obstacle avoidance ability. Based on an obstacle avoidance simulator, the characteristics of humans´ obstacle avoidance are analyzed and the limitation of humans´ obstacle avoidance was verified, especially such limitation could be quantified to some parameters, mainly the number of obstacles in environment. Finally, the guidelines for knowledge acquisition are summarized: under the environment with static obstacles, it is enough to extract the knowledge under the environment with one obstacle; under the environment with mobile obstacles, it is enough to extract the knowledge within limitation of humans for obstacle avoidance.
Keywords :
collision avoidance; environmental factors; human computer interaction; knowledge acquisition; mobile robots; autonomous mobile robot; environmental factors analysis; human obstacle avoidance; knowledge acquisition; path planning; strategy characteristics; Artificial intelligence; Environmental factors; Humanoid robots; Humans; Intelligent robots; Intelligent systems; Knowledge acquisition; Mechanical systems; Mobile robots; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Active Media Technology, 2005. (AMT 2005). Proceedings of the 2005 International Conference on
Print_ISBN :
0-7803-9035-0
Type :
conf
DOI :
10.1109/AMT.2005.1505373
Filename :
1505373
Link To Document :
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