局部规划方法虽能做到实时规划，但由于没有全局信息，所以无法对运动路径或运行时间等性能指标进行优化。
While local planning methods can implement real-time planning. But since there is no global information included, such indices as motion path or runtime cannot be optimized.
本文主要对元胞自动机在移动机器人的路径规划和模块化自重构机器人的运动规划中的应用进行了探索和研究。
In this paper, we try to do so some research work on algorithms of robot path planning and those of modular self-reconfigurable robots 'locomotion planning with cellular automata.
从移动机器人运动能量损耗的角度对移动机器人全局环境未知时的路径规划问题进行了探索，提出了一种新的基于局部最小能量的路径规划算法。
The robot path planning under unknown plane environments is reviewed from an energy-consuming viewpoint, and a novel path planning algorithm based on the local minimum energy is proposed.
应用推荐