Advances in Plan-Based Control of Robotic Agents: International Seminar, Dagstuhl Castle, Germany, October 21-26, 2001, Revised Papers / Edition 1

by Michael Beetz, Leonidas Guibas, Joachim Herztberg, Malik Ghallab, Martha E. Pollack

Overview

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 scientific experiment in space. At Carnegie Mellon University, Xavier [6], another autonomous mobile robot, navigated through an office - 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 effective 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.

Product Details

ISBN-13:	9783540001683
Publisher:	Springer Berlin Heidelberg
Publication date:	12/16/2002
Series:	Lecture Notes in Computer Science , #2466
Edition description:	2002
Pages:	296
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of 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.