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基于改进人工势场法的搬运机器人避障算法研究
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上海科委重点支撑计划(26220I180010);上海市联盟计划项目(LM201754)


Research on Obstacle Avoidance Algorithm for Mobile Robot Based on Improved Artificial Potential Field Method
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    摘要:

    搬运机器人作为移动机器人中的一种,应用前景十分广泛。基于搬运机器人的避障问题,对人工势场法进行研究,针对人工势场法容易出现的局部极小值问题和目标不可达问题进行分析,通过引入虚拟障碍物模型,较好地解决了人工势场法的局部极小值问题;修改斥力模型修正了目标不可达问题。在MATLAB软件中对改进之后的算法进行仿真,验证了该算法的可行性。

    Abstract:

    As a type of mobile robot, transfer robot has extensive application prospect. Artificial potential field method was studied as an obstacle avoidance algorithm from the perspective of safe obstacle avoidance. Frequent problems such as local minimum and destination unreachable during route planning process of traditional artificial potential field method were analyzed. Through introducing virtual obstacle model, the problem of local minimum was solved, and with respect to the problem of destination unreachable, repulsion model was introduced to rectify the obstacles that led to destination unreachable. The feasibility of this improved algorithm was verified by simulation in MATLAB software.

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付泽民,吴力杰,乔涛涛,石博文,余奇.基于改进人工势场法的搬运机器人避障算法研究[J].机床与液压,2021,49(5):25-29.
FU Zemin, WU Lijie, QIAO Taotao, SHI Bowen, YU Qi. Research on Obstacle Avoidance Algorithm for Mobile Robot Based on Improved Artificial Potential Field Method[J]. Machine Tool & Hydraulics,2021,49(5):25-29

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  • 在线发布日期: 2022-03-11
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