Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret a...
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Laser range scanners are a popular method for acquiring three-dimensional geometry due to their accuracy and robustness. Maximizing scanner accuracy while minimizing engineering c...
This paper considers resource allocation in a network with mobile agents competing for computational priority. We formulate this problem as a multi-agent game with the players bei...
: The growing demand for informational self-determination of patients will not only result in a stronger participation in therapeutic decision making hence causing a change in the ...