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» Movement Imitation with Nonlinear Dynamical Systems in Human...
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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
13 years 11 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...
ICRA
2005
IEEE
143views Robotics» more  ICRA 2005»
13 years 11 months ago
Locomoting with Less Computation but More Morphology
– Biped walking is one of the most graceful movements observed in humans. Today’s humanoid robots, despite their undeniably impressive performance, are still a long way from th...
Kojiro Matsushita, Max Lungarella, Chandana Paul, ...
IROS
2009
IEEE
151views Robotics» more  IROS 2009»
13 years 12 months ago
Vision based motion control for a humanoid head
— This paper describes the design of a motion control algorithm for a humanoid robotic head, which consists of a neck with four degrees of freedom and two eyes (a stereo pair sys...
Ludo C. Visser, Raffaella Carloni, Stefano Stramig...
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
13 years 11 months ago
Two Vision-guided vehicles: temporal coordination using nonlinear dynamical systems
— This article addresses the problem of generating timed trajectories and temporally coordinated movements for two wheeled vehicles, when relatively low-level, noisy sensorial in...
Cristina P. Santos, Manuel Ferreira
AROBOTS
2002
131views more  AROBOTS 2002»
13 years 5 months ago
Automated Derivation of Primitives for Movement Classification
Abstract. We describe a new method for representing human movement compactly, in terms of a linear superimposition of simpler movements termed primitives. This method is a part of ...
Ajo Fod, Maja J. Mataric, Odest Chadwicke Jenkins