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» Statistical Learning for Humanoid Robots
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IROS
2007
IEEE
123views Robotics» more  IROS 2007»
14 years 1 months ago
Learning humanoid reaching tasks in dynamic environments
— A central challenging problem in humanoid robotics is to plan and execute dynamic tasks in dynamic environments. Given that the environment is known, sampling-based online moti...
Xiaoxi Jiang, Marcelo Kallmann
IROS
2009
IEEE
138views Robotics» more  IROS 2009»
14 years 2 months ago
Using eigenposes for lossless periodic human motion imitation
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
Rawichote Chalodhorn, Rajesh P. N. Rao
AUSAI
2007
Springer
14 years 1 months ago
TalkBack: Feedback from a Miniature Robot
A prerequisite of any successful social robot is the ability to express its internal state and intention to humans in a natural way. Many researchers studied verbal and nonverbal f...
Yasser F. O. Mohammad, Toyoaki Nishida
ICPR
2004
IEEE
14 years 8 months ago
Periodic Nonlinear Principal Component Neural Networks for Humanoid Motion Segmentation, Generalization, and Generation
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
Karl F. MacDorman, Rawichote Chalodhorn, Minoru As...
ICRA
2003
IEEE
123views Robotics» more  ICRA 2003»
14 years 22 days ago
Autonomous reactive control for simulated humanoids
— We present a framework for composing motor controllers into autonomous composite reactive behaviors for bipedal robots and autonomous, physically-simulated humanoids. A key con...
Petros Faloutsos, Michiel van de Panne, Demetri Te...