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» Learning Behaviors Models for Robot Execution Control
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ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
15 years 8 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...
HICSS
2003
IEEE
174views Biometrics» more  HICSS 2003»
15 years 7 months ago
Linking Perception and Action in a Control Architecture for Human-Robot Domains
Human-robot interaction is a growing research domain; there are many approaches to robot design, depending on the particular aspects of interaction being focused on. In this paper...
Monica N. Nicolescu, Maja J. Mataric
102
Voted
AAMAS
2005
Springer
15 years 7 months ago
Towards Time Management Adaptability in Multi-agent Systems
Abstract. So far, the main focus of research on adaptability in multiagent systems (MASs) has been on the agents’ behavior, for example on developing new learning techniques and ...
Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yo...
97
Voted
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 8 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
IROS
2007
IEEE
95views Robotics» more  IROS 2007»
15 years 8 months ago
Load estimation and control using learned dynamics models
— Classic adaptive control methods for handling varying loads rely on an analytically derived model of the robot’s dynamics. However, in many situations, it is not feasible or ...
Georgios Petkos, Sethu Vijayakumar