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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2200353


A distributed variable density path search and simplification method for industrial manipulators with end-effector’s attitude constraints


Author(s):  Jin WANG, Shengjie LI, Haiyun ZHANG, Guodong LU, Yichang FENG, Peng WANG, Jituo LI

Affiliation(s):  State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.; more

Corresponding email(s):   dwjcom@zju.edu.cn

Key Words:  Path planning, Industrial robots, Distributed signed distance field, Attitude constraints, Path simplification


Jin WANG, Shengjie LI, Haiyun ZHANG, Guodong LU, Yichang FENG, Peng WANG, Jituo LI. A distributed variable density path search and simplification method for industrial manipulators with end-effector’s attitude constraints[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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author="Jin WANG, Shengjie LI, Haiyun ZHANG, Guodong LU, Yichang FENG, Peng WANG, Jituo LI",
journal="Frontiers of Information Technology & Electronic Engineering",
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year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200353"
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%T A distributed variable density path search and simplification method for industrial manipulators with end-effector’s attitude constraints
%A Jin WANG
%A Shengjie LI
%A Haiyun ZHANG
%A Guodong LU
%A Yichang FENG
%A Peng WANG
%A Jituo LI
%J Journal of Zhejiang University SCIENCE C
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%D 1998
%I Zhejiang University Press & Springer
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T1 - A distributed variable density path search and simplification method for industrial manipulators with end-effector’s attitude constraints
A1 - Jin WANG
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A1 - Haiyun ZHANG
A1 - Guodong LU
A1 - Yichang FENG
A1 - Peng WANG
A1 - Jituo LI
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DOI - 10.1631/FITEE.2200353


Abstract: 
In many robot operation scenarios, the end-effector's attitude constraints of movement are indispensable for the task process, such as robotic welding, spraying, handling, stacking, etc. Meanwhile, the inverse kinematics, collision detection and space search are involved in the path planning procedure under attitude constraints, making it complicated and difficult to achieve satisfactory efficiency and effectiveness in practice. To address these problems, this paper proposes a distributed variable density path planning method with attitude constraints (DVDP-AC) for industrial robots. Firstly, a position-attitude constraints reconstruction (PACR) approach is proposed in the inverse kinematics solution. Then, the distributed signed-distance-field (DSDF) model with single-step safety sphere (SSS) is designed to improve the efficiency of collision detection. Based on that, the variable density path search method is adopted in Cartesian space. Furthermore, a novel forward sequential path simplification approach (FSPS) is proposed to adaptively eliminate redundant path points considering path accessibility. Finally, experimental results verify the performance and effectiveness of the proposed DVDP-AC method under end-effector's attitude constraints, and its characteristics and advantages are demonstrated by comparing it with current mainstream path planning methods.

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