— Motion and path-planning algorithms often use complex cost functions for both global navigation and local smoothing of trajectories. Obtaining good results typically requires c...
Pieter Abbeel, Dmitri Dolgov, Andrew Y. Ng, Sebast...
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
We demonstrate an approach for collision- and oscillationfree navigation of multiple robots or virtual agents amongst each other. Each entity acts independently and uses only both...
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Current approaches to feature detection and matching in images strive to increase the repeatability of the detector and minimize the degree of outliers in the matching. In this pa...