Open AccessPath Planning Simulation of 6-DOF Manipulator
Author(s) -
Junhao Zhang,
Xingbo Yang,
Yawei Li,
Ningbo Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1574/1/012156
Subject(s) - motion planning , path (computing) , parallel manipulator , mobile manipulator , scheme (mathematics) , manipulator (device) , robot manipulator , automation , computer science , control engineering , robot , object (grammar) , shortest path problem , control (management) , simulation , control theory (sociology) , engineering , artificial intelligence , mobile robot , mechanical engineering , mathematics , mathematical analysis , programming language , graph , theoretical computer science
With the development of automation and intelligence in manufacturing industry, industrial robots have become an important part of intelligent chemical plants. In practical application, all functions implemented are realized by manipulator. Facts have proved that reasonable path planning for the manipulator is helpful to reduce the loss and impact of mechanical parts during operation, greatly improve the service life of the manipulator, and also help to improve the control accuracy of the manipulator of the robot. In this paper, the six-degree-of-freedom manipulator is taken as the research object, and the motion path planning scheme of the manipulator is designed, which is verified by PVDF material grabbing simulation experiments. The results show that the motion path of the manipulator designed in this paper takes less time than the shortest path to grab materials, and the operation accuracy is higher.