A low-risk approach to mobile robot path planning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1416, Issue , 1998, Pages 132-141

  Kruusmaa, Maarja ^a,b   Svensson, Bertil ^a,b  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

^b HALMSTAD UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CASE BASED REASONING; EXPERT SYSTEMS; MOBILE ROBOTS; ROBOT PROGRAMMING; ROBOTS;

CONVENTIONAL METHODS; DYNAMIC ENVIRONMENTS; ENVIRONMENT CHANGE; INNOVATIVE SOLUTIONS; PATH PLANNING PROBLEMS; ROBOT PATH-PLANNING; SELF-ORGANIZING APPROACHES; SIMULATED ENVIRONMENT;

MOTION PLANNING;

EID: 84958052855     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-64574-8_399     Document Type: Conference Paper

References (8)

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4. I. Watson, F. Marir. Case-Based Reasoning: A Review. In The Knowledge Engineering Review. Vol.9 No.4, 1994.
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6. A. Zelinsky. Using Path Transforms to Guide the Search for Findpath in 2D. In The International Journal of Robotics Research, Vol. 13, No.4, August 1994, pp.315-325.
7. K. Azarm, G. Schmidt. Integrated Mobile Robot Motion Planning and Execution in Changing Indoor Environments. In Proc. of the IEEE International Conference of Intelligent Robots and Systems (IROS’94), Sept. 12-16, 1994. Vol.l, pp.298-305.
8. R. Gutche, C. Laloni, M. Wahl. Path Planning for Mobile Vehicles within Dynamic Worlds Using Statistical Data. In Proc. of the IEEE International Conference of Intelligent Robots and Systems (IROS’94), Sept. 12-16, 1994, pp.454-461.