Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles
作者：
Highlights：
• The BPF proposal ensures a feasible, optimal and safe path for robot navigation.
• The results of BPF overcomes APF and other EAPF methods like those based in GAs.
• The BPF is quite faster in optimization leading to reduction in computation burden.
• The BPF running in parallel mode is the most suitable to fulfill local and global controllability.
• The BPF is capable to work in offline and online mode with static and dynamic obstacles.
摘要
•The BPF proposal ensures a feasible, optimal and safe path for robot navigation.•The results of BPF overcomes APF and other EAPF methods like those based in GAs.•The BPF is quite faster in optimization leading to reduction in computation burden.•The BPF running in parallel mode is the most suitable to fulfill local and global controllability.•The BPF is capable to work in offline and online mode with static and dynamic obstacles.
论文关键词：Path planning,Bacterial Potential Field,Bacterial Evolutionary Algorithms,Mobile robots,Collision avoidance
论文评审过程：Available online 27 February 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.033
