SIA OpenIR  > 空间自动化技术研究室
Obstacle Avoidance and Multitarget Tracking of a Super Redundant Modular Manipulator Based on Bezier Curve and Particle Swarm Optimization
Chen L(陈丽)1,2; Ma, Ying1; Zhang, Yu3; Liu JG(刘金国)2
Department空间自动化技术研究室
Source PublicationChinese Journal of Mechanical Engineering (English Edition)
ISSN1000-9345
2020
Volume33Issue:1Pages:1-19
Indexed BySCI ; EI
EI Accession number20204409428612
WOS IDWOS:000588057100003
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China (Grant No. 61733017) ; Foundation of State Key Laboratory of Robotics of China (Grant No. 2018O13) ; Shanghai Pujiang Program of China (Grant No. 18PJD018)
KeywordSuper redundant manipulator Multi target tracking Follow-the-leader Obstacle avoidance Bezier curve PSO
Abstract

A super redundant serpentine manipulator has slender structure and multiple degrees of freedom. It can travel through narrow spaces and move in complex spaces. This manipulator is composed of many modules that can form different lengths of robot arms for different application sites. The increase in degrees of freedom causes the inverse kinematics of redundant manipulator to be typical and immensely increases the calculation load in the joint space. This paper presents an integrated optimization method to solve the path planning for obstacle avoidance and discrete trajectory tracking of a super redundant manipulator. In this integrated optimization, path planning is established on a Bezier curve, and particle swarm optimization is adopted to adjust the control points of the Bezier curve with the kinematic constraints of manipulator. A feasible obstacle avoidance path is obtained along with a discrete trajectory tracking by using a follow-the-leader strategy. The relative distance between each two discrete path points is limited to reduce the fitting error of the connecting rigid links to the smooth curve. Simulation results show that this integrated optimization method can rapidly search for the appropriate trajectory to guide the manipulator in obtaining the target while achieving obstacle avoidance and meeting joint constraints. The proposed algorithm is suitable for 3D space obstacle avoidance and multitarget path tracking.

Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/27843
Collection空间自动化技术研究室
Corresponding AuthorChen L(陈丽)
Affiliation1.School of Air Transportation, Shanghai University of Engineering Science, Shanghai 201620, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China
Recommended Citation
GB/T 7714
Chen L,Ma, Ying,Zhang, Yu,et al. Obstacle Avoidance and Multitarget Tracking of a Super Redundant Modular Manipulator Based on Bezier Curve and Particle Swarm Optimization[J]. Chinese Journal of Mechanical Engineering (English Edition),2020,33(1):1-19.
APA Chen L,Ma, Ying,Zhang, Yu,&Liu JG.(2020).Obstacle Avoidance and Multitarget Tracking of a Super Redundant Modular Manipulator Based on Bezier Curve and Particle Swarm Optimization.Chinese Journal of Mechanical Engineering (English Edition),33(1),1-19.
MLA Chen L,et al."Obstacle Avoidance and Multitarget Tracking of a Super Redundant Modular Manipulator Based on Bezier Curve and Particle Swarm Optimization".Chinese Journal of Mechanical Engineering (English Edition) 33.1(2020):1-19.
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