Proceedings of the third annual conference on Autonomous Agents
Recent Trends in Mobile Robots
Recent Trends in Mobile Robots
Planning multiple paths with evolutionary speciation
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Automatic path planning for a mobile robot among obstacles ofarbitrary shape
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A neural network approach to complete coverage path planning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A fast path planning by path graph optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Due to the uncertainties and higher risks of fatality in combat situations, Unmanned Ground Robots (UGR) may be proven to be a safer alternative for carrying out critical military missions, such as search and rescue, and reconnaissance operations. Among many issues involved in the Military Path Planning (MPP) problem, this paper discusses factors affecting drop locations of the UGR in the battlefield. A customized GISbased model which finds suitable drop locations of the UGR is developed accordingly. The objective is to reach a known target location as quickly as possible, while minimizing its energy consumption as well as intervention from the enemies distributed in the battlefield. The model is tested on a complex digital terrain, assuming there is a presence of enemy's surveillance system. The result confirms the capability of the proposed method, by indicating that the candidate drop locations are feasible without violation of the specified constraints.