TY - GEN
T1 - Task-allocation and control of a ground robots collective for warehouse automation
AU - Guney, Mehmet Ali
AU - Raptis, Ioannis
N1 - Publisher Copyright:
© 2015 by ASME.
PY - 2015
Y1 - 2015
N2 - In the last years, there have been several attempts to deploy Autonomous Guided Vehicles (AGVs) to automate the operation of warehouse environments. The implementation of AGVs has numerous advantages over conventional warehouse automation systems in terms of cost and scalability. In this work, we present the development of a test-bed platform for the utilization of an AGV collective to a warehouse automation system. The system architecture has plug-and-play algorithmic design which makes it extremely modular. In this system, small-scale robotic forklifts are used to transport an arbitrary number of circular pallets to predefined locations. The forklift robots are able to move in the arena without colliding each other due to the implementation of a centralized deconfliction algorithm. A task allocation algorithm prevents the forklift drives from being trapped by a fence of pallets. The performance of the proposed system is validated by both simulation and experimental results.
AB - In the last years, there have been several attempts to deploy Autonomous Guided Vehicles (AGVs) to automate the operation of warehouse environments. The implementation of AGVs has numerous advantages over conventional warehouse automation systems in terms of cost and scalability. In this work, we present the development of a test-bed platform for the utilization of an AGV collective to a warehouse automation system. The system architecture has plug-and-play algorithmic design which makes it extremely modular. In this system, small-scale robotic forklifts are used to transport an arbitrary number of circular pallets to predefined locations. The forklift robots are able to move in the arena without colliding each other due to the implementation of a centralized deconfliction algorithm. A task allocation algorithm prevents the forklift drives from being trapped by a fence of pallets. The performance of the proposed system is validated by both simulation and experimental results.
UR - https://www.scopus.com/pages/publications/84973390129
U2 - 10.1115/DSCC2015-9938
DO - 10.1115/DSCC2015-9938
M3 - Conference contribution
T3 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
BT - Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications
PB - American Society of Mechanical Engineers
T2 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Y2 - 28 October 2015 through 30 October 2015
ER -