Advances in Plan-Based Control of Robotic Agents

International Seminar, Dagstuhl Castle, Germany, October 21-26, 2001, Revised Papers

Häftad, Engelska, 2002

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

689 kr

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This book constitutes the thoroughly refereed post-proceedings of an international seminar on Plan-Based Control of Robotic Agents held at Dagstuhl Castle, Germany in October 2001. The 16 full papers included in the book have gone through two rounds of reviewing and revision and present an up-to-date survey of the state of the art on research in plan-based control of robotic agents. Besides general issues from robotics, agent systems, control, AI planning, algorithmic learning, and problem solving are plan-based high-level control, probabilistic reasoning, plan transformation, and resource adaptive reasoning key topics addressed in the papers.

Produktinformation

Utgivningsdatum2002-11-01
Mått155 x 235 x 17 mm
Vikt464 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor296
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540001683

Tillhör följande kategorier

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.

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