Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
We introduce our research approach to investigating real world intelligence by building 'Remote-Brained Robots'. The key idea is that of interfacing AI systems with real...
Current research in the area of manufacturing planning and control has moved away from traditional centralized solutions towards distributed architectures that range from hierarch...
Granulation is an important component of Granular Computing (GrC) as a problem solving paradigm. Specification and regulation of granulation are necessary in helping researchers a...
In this paper, we present a replanning algorithm for a decision-theoretic hierarchical planner, illustrate the experimental methodology we designed to investigate its performance,...