— We propose a novel solution to the problem of inverse kinematics for redundant robotic manipulators for the purposes of goal selection for path planning. We unify the calculati...
Many applications arising in a variety of fields can be well illustrated by the task of recovering the low-rank and sparse components of a given matrix. Recently, it is discovered...
While Planning has been a key area in Artificial Intelligence since its beginnings, significant changes have occurred in the last decade as a result of new ideas and a more estab...
A course on pervasive computing should be structured around key functions throughout a systems development process to cover common underlying concerns throughout science and engin...
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...