Title :
OzTug mobile robot for manufacturing transportation
Author :
Horan, Ben ; Najdovski, Zoran ; Black, Tim ; Nahavandi, Saeid ; Crothers, Phillip
Author_Institution :
Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia
Abstract :
Firstly, this paper introduces the OzTug mobile robot developed to autonomously manoeuvre large loads within a manufacturing environment. The mobile robot utilises differential drive and necessary design criteria includes low-cost, mechanical robustness, and the abPility to manoeuvre loads ranging up to 2000kg. The robot is configured to follow a predefined trajectory while maintaining the forward velocity of a user-specified velocity profile. A vision-based fuzzy logic line following controller enables the robot to track the paths on the floor of the manufacturing environment. Secondly, in order to tow large loads along predefined paths three different robot-load configurations are proposed. Simulation within the Webots environment was performed in order to empirically evaluate the three different robot-load configurations. The simulation results demonstrate the cost-performance trade-off of two of the approaches.
Keywords :
automatic guided vehicles; fuzzy logic; industrial robots; manufacturing systems; mobile robots; path planning; robot vision; OzTug mobile robot; Webots environment; differential drive; manoeuvre loads; manufacturing transportation; path tracking; robot load configuration; velocity profile; vision based fuzzy logic; Cameras; Couplings; Mobile robots; Robot kinematics; Robot vision systems; Wheels; AGV; manufacturing; mobile robot; robot transportation;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4577-0652-3
DOI :
10.1109/ICSMC.2011.6084220