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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
16 years 1 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
16 years 1 months ago
A Kalman filter for robust outlier detection
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
IROS
2007
IEEE
109views Robotics» more  IROS 2007»
16 years 1 months ago
Planning for robust execution of humanoid motions using future perceptive capability
— We present an approach to motion planning for highly articulated systems that aims to ensure robust execution by augmenting the planning process to reason about the robot’s a...
Philipp Michel, Christian Scheurer, James J. Kuffn...
IROS
2007
IEEE
142views Robotics» more  IROS 2007»
16 years 1 months ago
Decentralized SLAM for pedestrians without direct communication
Abstract— We consider the problem of Decentralized Simultaneous Localization And Mapping (DSLAM) for pedestrians in the context of Urban Search And Rescue (USAR). In this context...
Alexander Kleiner, Dali Sun
IROS
2007
IEEE
132views Robotics» more  IROS 2007»
16 years 1 months ago
Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
Laëtitia Matignon, Guillaume J. Laurent, Nadi...
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