A Real-Time Rover Executive Based On Model-Based Reactive Planning

作者: M. Bernardine Bias , Solange Lemai , David Korsmeyer , Nicola Muscettola

DOI:

关键词: Automatic controlArchitectureAbstraction (linguistics)Reactive planningControl systemEngineeringStructure (mathematical logic)Control (management)Real-time computingSet (abstract data type)

摘要: This paper reports on the experimental verification of ability IDEA (Intelligent Distributed Execution Architecture) effectively operate at multiple levels abstraction in an autonomous control system. The basic hypothesis is that a large system can be structured as collection interacting agents, each organized around same fundamental structure. Two system-level agent and mission-level agent, are designed implemented to autonomously K9 rover real-time. evaluated scenario where must acquire images from specified set locations. agents responsible for enabling achieve its goals while monitoring execution safety recovering dangerous states when necessary. Experiments carried out both simulation physical rover, produced highly promising results.

参考文章(13)
John L. Bresina, Richard Washington, Maria Bualat, Michael Fair, Anne Wright, The K9 On-Board Rover Architecture ,(2006)
Gregory A. Dorais, Nicola Muscettola, Chuck Fry, Richard Levinson, Daniel Clancy, Christian Plaunt, IDEA: Planning at the Core of Autonomous Reactive Agents ,(2002)
Jeremy D. Frank, Ari K. Jónsson, A framework for dynamic constraint reasoning using procedural constraints european conference on artificial intelligence. pp. 93- 97 ,(2000)
Steve Chien, Rob Sherwood, Gregg Rabideau, Rebecca Castano, Ashley Davies, Michael Burl, Russell Knight, Tim Stough, Joe Roden, Paul Zetocha, Ross Wainwright, Pete Klupar, Jim Van Gaasbeck, Pat Cappelaere, Dean Oswald, None, The Techsat-21 autonomous space science agent Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 2 - AAMAS '02. pp. 570- 577 ,(2002) , 10.1145/544862.544880
Richard E Fikes, Peter E Hart, Nils J Nilsson, Learning and executing generalized robot plans Artificial Intelligence. ,vol. 3, pp. 485- 503 ,(1993) , 10.1016/0004-3702(72)90051-3
Nicola Muscettola, Paul H. Morris, Ben Smith, Ari K. Jónsson, Kanna Rajan, Planning in interplanetary space: theory and practice international conference on artificial intelligence planning systems. pp. 177- 186 ,(2000)
Nicola Muscettola, P.Pandurang Nayak, Barney Pell, Brian C. Williams, Remote Agent: to boldly go where no AI system has gone before Artificial Intelligence. ,vol. 103, pp. 5- 47 ,(1998) , 10.1016/S0004-3702(98)00068-X
R. Brooks, A robust layered control system for a mobile robot international conference on robotics and automation. ,vol. 2, pp. 204- 213 ,(1986) , 10.1109/JRA.1986.1087032
Rodney A. Brooks, PLANNING IS JUST A WAY OF AVOIDING FIGURING OUT WHAT TO DO NEXT MIT Artificial Intelligence Laboratory. ,(1987)
K. Havelund, M. Lowry, J. Penix, Formal analysis of a space-craft controller using SPIN IEEE Transactions on Software Engineering. ,vol. 27, pp. 749- 765 ,(2001) , 10.1109/32.940728