Abstract-- This paper presents a novel framework for integrating fundamental tasks in robotic navigation through a statistical inference procedure. A probabilistic model that joint...
We show how a greedy approach to visual search — i.e., directly moving to the most likely location of the target — can be suboptimal, if the target object is hard to detect. I...
— Robust object detection is a critical skill for robotic applications in complex environments like homes and offices. In this paper we propose a method for using multiple camer...
This paper describes a new collision detection algorithm designed for interactive manipulation in virtual environments. Making some assumptions on objects motion, the collision ti...
— We develop a framework to allow generic object detection algorithms to exploit geometric information commonly available to robot vision systems. Robot systems take pictures wit...
Michael Dixon, Frederick Heckel, Robert Pless, Wil...