Abstract--This paper proposes a unified optimization framework to solve the time parameterization problem of humanoid robot paths. Even though the time parameterization problem is ...
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Several recent studies indicate that many industrial applications exhibit poor quality in the design of exception-handling. To improve the quality of error-handling, we need to und...
Abstract Three-dimensional (3D) representations of complex geometric shapes, especially when they are reconstructed from magnetic resonance imaging (MRI) and computed tomography (C...
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...