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» Learning Behaviors Models for Robot Execution Control
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RAS
2010
164views more  RAS 2010»
15 years 7 days ago
Towards performing everyday manipulation activities
This article investigates fundamental issues in scaling autonomous personal robots towards open-ended sets of everyday manipulation tasks which involve high complexity and vague j...
Michael Beetz, Dominik Jain, Lorenz Mösenlech...
170
Voted
ABIALS
2008
Springer
15 years 3 months ago
Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learning
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
Matthias Rungger, Hao Ding, Olaf Stursberg
EVOW
2003
Springer
15 years 7 months ago
Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Jesper Blynel, Dario Floreano
ICRA
2002
IEEE
108views Robotics» more  ICRA 2002»
15 years 6 months ago
An Execution Control System for Autonomous Robots
Abstract— This paper presents some recent developments of the LAAS architecture for autonomous mobile robots. In particular, we specify the role of the Execution Control level of...
François Felix Ingrand, Frederic Py
131
Voted
AGENTS
2001
Springer
15 years 6 months ago
Learning structured reactive navigation plans from executing MDP navigation policies
Autonomous robots, such as robot office couriers, need navigation routines that support flexible task execution and effective action planning. This paper describes XFRMLEARN, a s...
Michael Beetz, Thorsten Belker