Simulation of multi-robot reinforcement learning for box-pushing problem

The box-pushing problem represents a challenging domain for the study of object manipulation in a multi-robot environment. Our box-pushing problem is based on the pusher-watcher approach, involving two pushers robots that learn the best strategy for cooperatively moving an oversized elongated box to...

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Bibliographic Details
Published in:MELECON 2004 : proceedings of the 12th IEEE Mediterranean Electrotechnical Conference : May 12-15, 2004, Dubrovnik, Croatia Vol. 2; pp. 603 - 606 Vol.2
Main Authors: Kovac, K., Zivkovic, I., Basic, B.D.
Format: Conference Proceeding
Language:English
Published: Piscataway NJ IEEE 2004
Subjects:
Applied sciences
Computational modeling
Computer science; control theory; systems
Control theory. Systems
Exact sciences and technology
Infrared detectors
Learning
Microelectronics
Multiagent systems
Orbital robotics
Robot kinematics
Robot sensing systems
Robotics
Service robots
Testing
Multiagent system
Simulation
Robot
Simulator
Robotics
Reinforcement learning
ISBN:0780382714, 9780780382718
Online Access:Get full text
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Summary:The box-pushing problem represents a challenging domain for the study of object manipulation in a multi-robot environment. Our box-pushing problem is based on the pusher-watcher approach, involving two pushers robots that learn the best strategy for cooperatively moving an oversized elongated box to a specified goal and one watcher robot acting as the environment. This paper presents a solution to the box-pushing problem based on reinforcement learning in a multi-agent system. Within the framework of the paper, a simulator has been developed to carry out the practical tests.
ISBN:0780382714
9780780382718
DOI:10.1109/MELCON.2004.1347002