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» Design and Control of Autonomous Underwater Robots: A Survey
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CCIA
2005
Springer
14 years 1 months ago
Direct Policy Search Reinforcement Learning for Robot Control
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
Andres El-Fakdi, Marc Carreras, Narcís Palo...
CEC
2007
IEEE
14 years 1 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
PERCOM
2006
ACM
14 years 7 months ago
Balancing Autonomy and User Control in Context-Aware Systems - a Survey
Application autonomy can reduce interactions with users, ease the use of the system, and decrease user distraction. On the other hand, users may feel loss of control over their ap...
Bob Hardian, Jadwiga Indulska, Karen Henricksen
IJRR
2010
135views more  IJRR 2010»
13 years 4 months ago
Design and field experimentation of a prototype Lunar prospector
Scarab is a prototype rover for Lunar missions to survey resources in polar craters. It is designed as a prospector that would use a deep coring drill and apply soil analysis inst...
David Wettergreen, Scott Moreland, Krzysztof Skoni...
ICRA
1994
IEEE
94views Robotics» more  ICRA 1994»
13 years 11 months ago
A Reinforcement-Learning Approach to Reactive Control Policy Design for Autonomous Robots
Within the field of robotics, much recent attention has been given to control techniques that have been termed reactive or behavior-based. The design of such control systems for e...
Andrew H. Fagg, David Lotspeich, George A. Bekey