Advances in Plan-Based Control of Robotic Agents : International Seminar, Dagstuhl Castle, Germany, October 21-26, 2001, Revised Papers / edited by Michael Beetz, Leonidas Guibas, Joachim Herztberg, Malik Ghallab, Martha E. Pollack.

Format:

Book

Contributor:

Beetz, Michael, editor.

Guibas, Leonidas, editor.

Herztberg, Joachim, editor.

Ghallab, Malik, editor.

Pollack, Martha E., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 2466.

Lecture Notes in Artificial Intelligence ; 2466

Language:

English

Subjects (All):

Robotics.

Automation.

Artificial intelligence.

Computer science.

Automatic control.

Mechatronics.

Robotics and Automation.

Artificial Intelligence.

Computer Science, general.

Control, Robotics, Mechatronics.

Local Subjects:

Robotics and Automation.

Artificial Intelligence.

Computer Science, general.

Control, Robotics, Mechatronics.

Physical Description:

1 online resource (VIII, 296 pages).

Edition:

First edition 2002.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.

System Details:

text file PDF

Summary:

In recent years, autonomous robots, including Xavier, Martha [1], Rhino [2,3], Minerva,and Remote Agent, have shown impressive performance in long-term demonstrations. In NASA's Deep Space program, for example, an - tonomous spacecraft controller, called the Remote Agent [5], has autonomously performed a scienti?c experiment in space. At Carnegie Mellon University, Xavier [6], another autonomous mobile robot, navigated through an o?ce - vironment for more than a year, allowing people to issue navigation commands and monitor their execution via the Internet. In 1998, Minerva [7] acted for 13 days as a museum tourguide in the Smithsonian Museum, and led several thousand people through an exhibition. These autonomous robots have in common that they rely on plan-based c- trol in order to achieve better problem-solving competence. In the plan-based approach, robots generate control actions by maintaining and executing a plan that is e?ective and has a high expected utility with respect to the robots' c- rent goals and beliefs. Plans are robot control programs that a robot can not only execute but also reason about and manipulate [4]. Thus, a plan-based c- troller is able to manage and adapt the robot's intended course of action - the plan - while executing it and can thereby better achieve complex and changing tasks.

Contents:

Plan-Based Multi-robot Cooperation

Plan-Based Control for Autonomous Soccer Robots Preliminary Report

Reliable Multi-robot Coordination Using Minimal Communication and Neural Prediction

Collaborative Exploration of Unknown Environments with Teams of Mobile Robots

Mental Models for Robot Control

Perceptual Anchoring: A Key Concept for Plan Execution in Embedded Systems

Progressive Planning for Mobile Robots A Progress Report

Reasoning about Robot Actions: A Model Checking Approach

Lifelong Planning for Mobile Robots

Learning How to Combine Sensory-Motor Modalities for a Robust Behavior

Execution-Time Plan Management for a Cognitive Orthotic System

Path Planning for Cooperating Robots Using a GA-Fuzzy Approach

Performance of a Distributed Robotic System Using Shared Communication Channels

Use of Cognitive Robotics Logic in a Double Helix Architecture for Autonomous Systems

The dd&p Robot Control Architecture

Decision-Theoretic Control of Planetary Rovers.

Other Format:

Printed edition:

ISBN:

978-3-540-37724-5

9783540377245

Access Restriction:

Restricted for use by site license.