Neural-network-based path planning for a multirobot system with moving obstacles

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 39, Issue 4, 2009, Pages 410-419

  Li, Howad ^a   Yang, Simon X ^b   Seto, Mae L ^c  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b UNIVERSITY OF GUELPH   (Canada)

^c DEFENCE RESEARCH AND DEVELOPMENT CANADA   (Canada)

Author keywords

Framework; Hybrid systems; Multiagent systems (MASs); Neural networks; Path planning

Indexed keywords

BIOLOGICALLY INSPIRED; COMPLEX SYSTEMS; CONTROL COMMAND; CONTROL MODULE; COORDINATED HYBRID AGENTS; FRAMEWORK; MOVING OBSTACLES; MULTI-ROBOT SYSTEMS; MULTIAGENT SYSTEMS (MASS); MULTIPLE ROBOT; NEURAL ACTIVITY; PATH PLANNING; SIMULATION RESULT; STATIC OBSTACLES; VEHICLE STATE;

COORDINATION REACTIONS; ELECTRIC GROUNDING; HYBRID COMPUTERS; INDUSTRIAL ROBOTS; INTELLIGENT AGENTS; MATLAB; MULTI AGENT SYSTEMS; NEURAL NETWORKS; PLANNING;

HYBRID SYSTEMS;

EID: 67649246843     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2009.2020789     Document Type: Article

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