z-logo
open-access-imgOpen Access
On-Line Collision Avoidance of Two Command-Based Industrial Robotic Arms Using Advanced Collision Map
Author(s) -
Ahmad Yasser Afaghani,
Yasumichi AIYAMA
Publication year - 2014
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2014.p0321
Subject(s) - collision , robot , computer science , span (engineering) , collision avoidance , trajectory , simulation , collision detection , line (geometry) , scheduling (production processes) , real time computing , artificial intelligence , computer vision , mathematics , engineering , geometry , physics , mathematical optimization , structural engineering , computer security , astronomy
Collision check of robotsThis research aims to build a system for detecting and avoiding collisions between two industrial robotic arms that are controlled using point-to-point commands in on-line mode. Both robots have no prior knowledge of the commands which will be sent after starting the system. For this purpose, a collision map method has been improved to detect potential collisions between the robots and represent them as a collision area on the map. Commonly, industrial robotic arms have a cylindrical or a near-rectangular shape. The links of the robots have been approximated geometrically by using the swept sphere volume which presents tight modelling. Moreover, it is extremely easy to check for collisions and, therefore, feasible for on-line applications. To produce a collision-free trajectory for the robot, scheduling of the command execution time is necessary to avoid any collision areas on the map. The system has been tested on an OpenGLbased simulator to demonstrate the effectiveness of the system.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom