Design of Obstacle Avoidance System for Robotic Arms Based on Multi-Sensor Information Fusion
In order to realize more accurate and reliable environmental perception and obstacle avoidance decision,a robotic arm obstacle avoidance system is designed based on multi-sensor information fusion.First of all,the working environment information of the robotic arm is collected by multi-sensor,and the artificial potential field model of the robotic arm under multi-sensor is established through the processing of data layer,feature layer and decision layer,and the gravitation function,repulsion function and restriction function are added.Secondly,the obstacle avoidance of the robotic arm under multi-sensor information fusion is realized by setting the sensor detection weight and fusing the comprehensive information of obstacle factors.Finally,the simulation results show that the use of multi-sensor information fusion method can increase the success rate of obstacle feature recognition,improve the success rate of obstacle avoidance and the efficiency of path planning.
NETL
NSTL
万方数据
维普
