Pose and Path Planning for Industrial Robot Surface Machining Based on Direction Fields

被引:0
|
作者
Wu, Lei [1 ]
Zang, Xizhe [1 ]
Yin, Wenxin [1 ]
Zhang, Xuehe [1 ]
Li, Changle [1 ]
Zhu, Yanhe [1 ]
Zhao, Jie [1 ]
机构
[1] Harbin Inst Technol HIT, Sch Mechatron Engn, State Key Lab Robot & Syst, Harbin 150001, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Machining; Vectors; Path planning; Service robots; Feeds; Planning; Industrial robots; Robot kinematics; Force; Three-dimensional displays; Constrained motion planning; computational geometry; industry robot machining; pose and path planning; GENERATION METHOD; OPTIMIZATION;
D O I
10.1109/LRA.2024.3474521
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This study proposes a pose and path planning method based on direction fields, addressing challenges in industrial robot surface machining. These challenges include limited machining accuracy and difficult path planning arising from the robot's low stiffness and high nonlinearity between joint and operational spaces. The method consists of two key components. Firstly, a smooth pose planning method is proposed, independent of specific machining paths. It guides robot pose by constructing the smooth 1-direction field on the freeform surface, ensuring smooth pose transitions between adjacent machining points. Secondly, a path planning method based on a 2-direction field is proposed. The approach generates a 2-direction field by considering the robot's performance and task requirements. After integrating the 2-direction field to obtain a scalar field, iso-lines are extracted as the machining paths. The results demonstrate that the proposed method can generate smooth machining poses and continuous paths, even for complex surfaces where other methods may fail to generate fully reachable machining paths. The proposed method could achieve different path performances, such as high manipulator-velocity-ratio (MVR), high tangential stiffness, and high machining efficiency, by tracking specific 2-direction fields.
引用
收藏
页码:10455 / 10462
页数:8
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