Title
Multiple Manipulators Path Planning Using Double A
Abstract
Purpose - Streamlining automated processes is currently undertaken by developing optimization methods and algorithms for robotic manipulators. This paper aims to present a new approach to improve streamlining of automatic processes. This new approach allows for multiple robotic manipulators commonly found in the industrial environment to handle different scenarios, thus providing a high-flexibility solution to automated processes.Design/methodology/approach - The developed system is based on a spatial discretization methodology capable of describing the surrounding environment of the robot, followed by a novel path-planning algorithm. Gazebo was the simulation engine chosen, and the robotic manipulator used was the Universal Robot 5 (UR5). The proposed system was tested using the premises of two robotic challenges: EuRoC and Amazon Picking Challenge.Findings - The developed system was able to identify and describe the influence of each joint in the Cartesian space, and it was possible to control multiple robotic manipulators safely regardless of any obstacles in a given scene.Practical implications - This new system was tested in both real and simulated environments, and data collected showed that this new system performed well in real- life scenarios, such as EuRoC and Amazon Picking Challenge.Originality/ value - The new proposed approach can be valuable in the robotics field with applications in various industrial scenarios, as it provides a flexible solution for multiple robotic manipulator path and motion planning.
Year
DOI
Venue
2016
10.1108/IR-01-2016-0006
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
Keywords
Field
DocType
Kinematics, Path planning, ROS, A*, Configuration space, Industrial environment
Motion planning,Discretization,Kinematics,Simulation,Control engineering,Artificial intelligence,Engineering,Robotic paradigms,Robot,Robotics,Configuration space,Cartesian coordinate system
Journal
Volume
Issue
ISSN
43
6
0143-991X
Citations 
PageRank 
References 
1
0.37
12
Authors
4
Name
Order
Citations
PageRank
Pedro Tavares132.19
José Lima211.73
Pedro Costa3157.27
A. Paulo Moreira4519.89