Control and benchmarking of a 7-DOF robotic arm using Gazebo and ROS
Author(s) -
Bowei Zhang,
Pengcheng Liu
Publication year - 2021
Publication title -
peerj computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.806
H-Index - 24
ISSN - 2376-5992
DOI - 10.7717/peerj-cs.383
Subject(s) - benchmarking , robustness (evolution) , robot , computer science , control engineering , control theory (sociology) , task (project management) , robotic arm , robust control , jitter , controller (irrigation) , control system , engineering , control (management) , artificial intelligence , agronomy , biochemistry , chemistry , electrical engineering , systems engineering , marketing , biology , business , gene , telecommunications
The robot controller plays an important role in controlling the robot. The controller mainly aims to eliminate or suppress the influence of uncertain factors on the control robot. Furthermore, there are many types of controllers, and different types of controllers have different features. To explore the differences between controllers of the same category, this article studies some controllers from basic controllers and advanced controllers. This article conducts the benchmarking of the selected controller through pre-set tests. The test task is the most commonly used pick and place. Furthermore, to complete the robustness test, a task of external force interference is also set to observe whether the controller can control the robot arm to return to a normal state. Subsequently, the accuracy, control efficiency, jitter and robustness of the robot arm controlled by the controller are analyzed by comparing the Position and Effort data. Finally, some future works of the benchmarking and reasonable improvement methods are discussed.
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