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» Learning Behaviors Models for Robot Execution Control
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FBIT
2007
IEEE
14 years 3 months ago
Learning to Drive a Real Car in 20 Minutes
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
RAS
2006
111views more  RAS 2006»
13 years 8 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
ICML
2009
IEEE
14 years 9 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
ICRA
2010
IEEE
123views Robotics» more  ICRA 2010»
13 years 7 months ago
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving
— We consider the task of accurately controlling a complex system, such as autonomously sliding a car sideways into a parking spot. Although certain regions of this domain are ex...
J. Zico Kolter, Christian Plagemann, David T. Jack...
TROB
2011
112views more  TROB 2011»
13 years 3 months ago
Mapping and Pursuit-Evasion Strategies For a Simple Wall-Following Robot
— This paper defines and analyzes a simple robot with local sensors that moves in an unknown polygonal environment. The robot can execute wall-following motions and can traverse...
Max Katsev, Anna Yershova, Benjamín Tovar, ...