Hybrid intelligent path planning for articulated rovers in rough terrain
Fuzzy Sets and Systems
Robotics and Autonomous Systems
Constrained motion model of mobile robots and its applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Ant colony system for robot path planning in global static environment
ICOSSSE'10 Proceedings of the 9th WSEAS international conference on System science and simulation in engineering
Navigation of autonomous robots using genetic algorithms
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Path planning strategy for autonomous mobile robot navigation using Petri-GA optimisation
Computers and Electrical Engineering
Local information guided autonomous exploration in sensor networks: Algorithms and experiments
Computer Communications
Dynamic path planning of mobile robots with improved genetic algorithm
Computers and Electrical Engineering
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This paper proposes genetic algorithms (GAs) for path planning and trajectory planning of an autonomous mobile robot. Our GA-based approach has an advantage of adaptivity such that the GAs work even if an environment is time-varying or unknown. Therefore, it is suitable for both off-line and on-line motion planning. We first presents a GA for path planning in a 2D terrain. Simulation results on the performance and adaptivity of the GA on randomly generated terrains are presented. Then, we discuss extensions of the GA for solving both path planning and trajectory planning simultaneously.