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NIPS
2001
14 years 24 days ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr
FOSSACS
2005
Springer
14 years 5 months ago
A Computational Model for Multi-variable Differential Calculus
Abstract. We introduce a domain-theoretic computational model for multivariable differential calculus, which for the first time gives rise to data types for differentiable functio...
Abbas Edalat, André Lieutier, Dirk Pattinso...
IROS
2006
IEEE
142views Robotics» more  IROS 2006»
14 years 5 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