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Mobile robot path planning based on adaptive bacterial foraging algorithm 被引量:8

Mobile robot path planning based on adaptive bacterial foraging algorithm
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摘要 The utilization of biomimicry of bacterial foraging strategy was considered to develop an adaptive control strategy for mobile robot, and a bacterial foraging approach was proposed for robot path planning. In the proposed model, robot that mimics the behavior of bacteria is able to determine an optimal collision-free path between a start and a target point in the environment surrounded by obstacles. In the simulation, two test scenarios of static environment with different number obstacles were adopted to evaluate the performance of the proposed method. Simulation results show that the robot which reflects the bacterial foraging behavior can adapt to complex environments in the planned trajectories with both satisfactory accuracy and stability. The utilization of biomimicry of bacterial foraging strategy was considered to develop an adaptive control strategy for mobile robot, and a bacterial foraging approach was proposed for robot path planning. In the proposed model, robot that mimics the behavior of bacteria is able to determine an optimal collision-free path between a start and a target point in the environment surrounded by obstacles. In the simulation, two test scenarios of static environment with different number obstacles were adopted to evaluate the performance of the proposed method. Simulation results show that the robot which reflects the bacterial foraging behavior can adapt to complex environments in the planned trajectories with both satisfactory accuracy and stability.
出处 《Journal of Central South University》 SCIE EI CAS 2013年第12期3391-3400,共10页 中南大学学报(英文版)
基金 Project(61173032)supported by the National Natural Science Foundation of China Project(20090406)supported by the Tianjin Scientific and Technological Development Fund of Higher Education of China
关键词 robot path planning bacterial foraging behaviors swarm intelligence ADAPTATION 机器入路径规划 自适应控制策略 觅食行为 移动机器人 细菌 算法 仿真结果 测试场景
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