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» Learning to Drive and Simulate Autonomous Mobile Robots
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KI
2007
Springer
14 years 1 months ago
Making a Robot Learn to Play Soccer Using Reward and Punishment
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
Heiko Müller, Martin Lauer, Roland Hafner, Sa...
AAAI
1998
13 years 9 months ago
A Motivational System for Regulating Human-Robot Interaction
This paper presents a motivational system for an autonomous robot which is designed to regulate human-robot interaction. The mode of social interaction is that of a caretaker-infa...
Cynthia Breazeal
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
14 years 1 months ago
Global action selection for illumination invariant color modeling
— A major challenge in the path of widespread use of mobile robots is the ability to function autonomously, learning useful features from the environment and using them to adapt ...
Mohan Sridharan, Peter Stone
ISER
1993
Springer
150views Robotics» more  ISER 1993»
13 years 11 months ago
A Unified Approach to Planning, Sensing and Navigation for Mobile Robots
Much of the focus of the research effort in path planning for mobile robots has centred on the problem of finding a path from a start location to a goal location, while minimising...
Alexander Zelinsky, Shin'ichi Yuta
ECAI
2008
Springer
13 years 9 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...