The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
Abstract--This paper presents a relational positioning methodology that allows to restrict totally or partially the movements of an object by specifying its allowed positions in te...
s In grid computing, the goals of task scheduling is to achieve high system optimization performance while matching multi-dimension Quiality of Service(QoS) requirement of applicat...
In order to enable intuitive physical interaction with autonomous robots as well as in collaborative multi-user virtual reality and teleoperation systems a deep understanding of h...