Publication Type : Conference Paper
Publisher : 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017
Source : 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, Institute of Electrical and Electronics Engineers Inc., Volume 2018-January, p.147-151 (2018)
ISBN : 9781509061068
Keywords : Computation theory, Cooperative game theory, Game theory, Intelligent computing, MATLAB, MATLAB platform, Mobile agents, Motion planning, Multiple robot, Probability distributions, Robot programming, Robotics, Robots, Single shots, Static obstacles
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2018
Abstract : Game theory is a mathematical discipline which is applied to areas where the conflicts as well as a coordination is needed as in economics, politics. Various aspects of game theory, their solutions based on the type of game theory is discussed in the paper. A case study for robotic path planning of two robots using cooperative game theory with static obstacles and with different probability distribution value and obstacle positions is modeled and its output is tracked in MATLAB platform. To verify the performance of Game theory based path planning it is compared with the popular A algorithm used in robotic path planning simulated under similar conditions. © 2017 IEEE.
Cite this Research Publication : Jasna S. B., Supriya P., and T. N. Padmanabha Nambiar, “Application of game theory in path planning of multiple robots”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 147-151.