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» Learning to Drive and Simulate Autonomous Mobile Robots
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ICRA
2007
IEEE
122views Robotics» more  ICRA 2007»
14 years 2 months ago
Decentralized, Adaptive Control for Coverage with Networked Robots
— A decentralized, adaptive control law is presented to drive a network of mobile robots to a near-optimal sensing configuration. The control law is adaptive in that it integrat...
Mac Schwager, Jean-Jacques E. Slotine, Daniela Rus
ICRA
1998
IEEE
154views Robotics» more  ICRA 1998»
13 years 12 months ago
Environmental Complexity Control for Vision-Based Learning Mobile Robot
This paper discusses how a robot can develop its state vector according to the complexity of the interactions with its environment. A method for controlling the complexity is prop...
Eiji Uchibe, Minoru Asada, Koh Hosoda
AI
1999
Springer
13 years 7 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
IJCAI
1989
13 years 8 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand
FLAIRS
2003
13 years 9 months ago
Emergence of Cooperation in a Multiple Predator, Single Prey Game
This research concerns the comparison of three different artificial evolution approaches for the design of cooperative behavior in a group of simulated mobile robots. The first an...
Geoff Nitschke