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传感器信息融合的机器人运动轨迹跟踪

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针对当前方法存在跟踪误差大、时间长、抗干扰能力差等不足,提出了基于传感器信息融合的机器人运动轨迹跟踪方法.首先采用多个传感器同时采集机器人运动轨迹信息,并对信息相应融合处理,然后引入粒子滤波算法实现机器人运动轨迹跟踪,最后与其他方法进行机器人运动轨迹跟踪对比实验.结果表明,文中方法提升了机器人运动轨迹跟踪精度,加快了机器人运动轨迹跟踪速度,具有较强的抗干扰能力强,同时跟踪效果优于当前其他方法.
Tracking of robot trajectory based on sensor information fusion
To solve the shortcomings of current methods,such as large tracking error,long time and poor anti-interference ability,a robot trajectory tracking method based on sensor information fusion is proposed.Firstly,multiple sensors are used to collect the robot trajectory information at the same time,and the infor-mation is fused accordingly.Then,particle filter algorithm is introduced to achieve robot trajectory track-ing.Finally,robot motion trajectory tracking comparison experiments are conducted with other methods.The results show that the method in this paper improves the robot motion track tracking accuracy,speeds up the robot motion track tracking speed,and has stronger anti-interference ability,meanwhile,the tracking effect is better than other current methods.

laser sensorinformation fusiontrajectorytracking methodparticle filter algorithm

赵启纯、陈红

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中国社会科学院研究生院,北京 100732

激光传感器 信息融合 运动轨迹 跟踪方法 粒子滤波算法

2024

信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
年,卷(期):2024.(5)