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 …
G Theocharous, K Rohanimanesh… - … 2001 ICRA. IEEE …, 2001 - ieeexplore.ieee.org
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 …