Novel Method of Obstacle Avoidance Planning for Redundant Sliding Manipulators
文献类型:期刊论文
作者 | Liu JG(刘金国)![]() ![]() ![]() |
刊名 | IEEE ACCESS
![]() |
出版日期 | 2020 |
卷号 | 8页码:78608-78621 |
关键词 | Additional deviation velocity method gradient projection method obstacle avoidance redundant manipulator weighted method |
ISSN号 | 2169-3536 |
产权排序 | 1 |
英文摘要 | In this paper, a weighted additional deviation velocity on the basis of the gradient projection (GP-WADV) method is proposed to solve obstacle avoidance problems of the redundant manipulator under the condition of known end-effector trajectory. The GP-WADV method aims to find the point closest to the obstacle on the link of the manipulator and attach the additional deviation velocity with weighting factors to the point on the basis of the gradient projection method. Utilizing multi-solution characteristics of redundant robots, obstacle avoidance control parameters related to the distance between obstacles and links are proposed according to the gradient projection method for solving inverse kinematic solution. Moreover, a weighted method is adopted to adjust the weighting factors of the primary motion velocity and the additional motion velocity when the link approaches the obstacle, so as to obtain the joint angle solutions more quickly and accurately. The GP-WADV method can ensure that the manipulator can avoid obstacles smoothly without turbulence and solve the highly nonlinear relationship between the position of the manipulator and the joint coordinate, which has the advantages of small amount of calculation, more flexible and convenient real-time control. The advantages of the proposed GP-WADV method are proved by simulation and experiments. |
WOS关键词 | NEURAL-NETWORKS ; TRAJECTORY TRACKING ; ROBOT MANIPULATORS ; KINEMATIC CONTROL ; OPTIMIZATION ; SCHEME ; DESIGN |
资助项目 | National Key Research and Development Program of China[2018YFB1304600] ; Natural Science Foundation of China[51775541] ; Chinese Academy of Sciences (CAS) Interdisciplinary Innovation Team[JCTD-2018-11] |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
语种 | 英语 |
WOS记录号 | WOS:000531907000010 |
资助机构 | National Key Research and Development Program of China [2018YFB1304600] ; Natural Science Foundation of ChinaNational Natural Science Foundation of China [51775541] ; Chinese Academy of Sciences (CAS) Interdisciplinary Innovation Team [JCTD-2018-11] |
源URL | [http://ir.sia.cn/handle/173321/26865] ![]() |
专题 | 沈阳自动化研究所_空间自动化技术研究室 中国科学院沈阳自动化研究所 |
通讯作者 | Liu JG(刘金国); Liu YW(刘玉旺) |
作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 3.School of Computing, University of Portsmouth, Portsmouth PO1 3HE, U.K. 4.University of the Chinese Academy of Sciences, Beijing 100049, China |
推荐引用方式 GB/T 7714 | Liu JG,Tong YC,Liu YW. Novel Method of Obstacle Avoidance Planning for Redundant Sliding Manipulators[J]. IEEE ACCESS,2020,8:78608-78621. |
APA | Liu JG,Tong YC,&Liu YW.(2020).Novel Method of Obstacle Avoidance Planning for Redundant Sliding Manipulators.IEEE ACCESS,8,78608-78621. |
MLA | Liu JG,et al."Novel Method of Obstacle Avoidance Planning for Redundant Sliding Manipulators".IEEE ACCESS 8(2020):78608-78621. |
入库方式: OAI收割
来源:沈阳自动化研究所
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。