摘要
基于Pioneer3机器人平台提出一种未知环境中的机器人路径规划的改进算法。在BUG理论的基础上,通过先锋机器人实时读取机器人角度偏差的能力,即时重新规划机器人到达目标点的路线。改进算法缩短了BUG理论中的运动路径,提高了机器人避障的效率。
One of the improved algorithms for robot path planning in an unknown environment is proposed in this paper under the background in Pioneer3 robot platform.Based on the BUG theory and using the ability to read real time deviation of robot angle by pioneer robot,the robot plans a rode to reach the goal point immediately.The improved algorithm reduces the motion path in the BUG theory and improves the efficiency of the robot obstacle avoidance.
出处
《实验科学与技术》
2016年第1期1-2,17,共3页
Experiment Science and Technology
基金
国家自然科学基金(6146105)
关键词
先锋3
BUG理论
平行主线
算法
Pioneer 3
BUG theory
parallel main line
algorithm
