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» Stable whole-body motion generation for humanoid robots to i...
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ICANN
2010
Springer
13 years 3 months ago
Teaching Humanoids to Imitate 'Shapes' of Movements
Trajectory formation is one of the basic functions of the neuromotor controller. In particular, reaching, avoiding, controlling impacts (hitting), drawing, dancing and imitating ar...
Vishwanathan Mohan, Giorgio Metta, Jacopo Zenzeri,...
IROS
2006
IEEE
142views Robotics» more  IROS 2006»
13 years 11 months ago
Using Hidden Markov Models to Generate Natural Humanoid Movement
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...
Junghyun Kwon, Frank C. Park
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
13 years 11 months ago
Representability of human motions by factorial hidden Markov models
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
AR
2004
84views more  AR 2004»
13 years 5 months ago
Reinforcement learning of humanoid rhythmic walking parameters based on visual information
This paper presents a method for learning the parameters of rhythmic walking to generate purposive humanoid motions. The controller consists of the two layers: rhythmic walking is...
Masaki Ogino, Yutaka Katoh, Masahiro Aono, Minoru ...
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
13 years 11 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard