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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Beetz, Michael (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Guibas, Leonidas (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Herztberg, Joachim (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ghallab, Malik (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pollack, Martha E. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Lecture Notes in Artificial Intelligence ; 2466
• Θέματα: Robotics.; Automation.; Artificial intelligence.; Computer science.; Control engineering.; Mechatronics.; Robotics and Automation.; Artificial Intelligence.; Computer Science, general.; Control, Robotics, Mechatronics.

 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. 

 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.