Research on language comprehension has focused on the resolution of syntactic
ambiguities, and most studies have employed garden-path sentences to determine the …

In this article, I describe agent-centered search (also called real-time search or local search)
and illustrate this planning paradigm with examples. Agent-centered search methods …

Recent research has demonstrated that useful POMDP solutions do not require
consideration of the entire belief space. We extend this idea with the notion of temporal …

We propose and investigate a general framework for hierarchical modeling of partially
observable environments, such as office buildings, using hierarchical hidden Markov …

We propose and investigate a planning framework based on the hierarchical partially
observable Markov decision process model (HPOMDP), and apply it to robot navigation. We …

This book presents some of the most recent research results in the area of machine learning
and robot perception. The chapters represent new ways of solving real-world problems. The …

This thesis addresses the problem of navigation by a mobile robot operating in large, real
world environments which have not been modified for the purpose of robot navigation. Maps …

Sequential decision making under uncertainty is a fundamental problem in artificial
intelligence. This problem is faced by autonomous agents embedded in complex …

The research on micro-robots with distributed intelligence, which are capable of
reconfiguring themselves to adapt to various defense and civilian tasks, is relatively new. A …

This paper presents a vision-based technique for detecting targets of the environment which
have to be reached by an autonomous mobile robot during its navigational tasks. The …