The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
This paper explores how process pipeline scheduling may become a viable strategy for executing workflows. It first details a workflow optimization and execution algorithm that redu...
Melissa Lemos, Marco A. Casanova, Antonio L. Furta...
Abstract. We consider a large volume principle for transductive learning that prioritizes the transductive equivalence classes according to the volume they occupy in hypothesis spa...
We wish for robots to manipulate objects and move flexibly in three-dimensional spaces. We describe a robot that can move on a web of surfaces oriented around arbitrary directions ...
Abstract-- This paper describes a navigation system that allowed a robot to complete 26.2 miles of autonomous navigation in a real office environment. We present the methods requir...
Eitan Marder-Eppstein, Eric Berger, Tully Foote, B...