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The Techsat-21 autonomous space science agent

Published: 15 July 2002 Publication History

Abstract

The Autonomous Sciencecraft Experiment (ASE) will fly onboard the Air Force TechSat-21 constellation of three spacecraft scheduled for launch in 2004. ASE uses onboard continuous planning, robust task and goal-based execution, model-based mode identification and reconfiguration, and onboard machine learning and pattern recognition to radically increase science return by enabling intelligent downlink selection and autonomous retargeting. In this paper we discuss how these AI technologies are synergistically integrated in a hybrid multi-layer control architecture to enable a virtual spacecraft science agent. We also describe our working software prototype and preparations for flight.

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Published In

cover image ACM Conferences
AAMAS '02: Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
July 2002
508 pages
ISBN:1581134800
DOI:10.1145/544862
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 15 July 2002

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Author Tags

  1. mode identification
  2. planning and scheduling
  3. robust execution
  4. science agent
  5. space exploration agent

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

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  • (2024)A machine learning-based method for co-design and optimization of microwave-absorbing/load-bearing multifunctional structuresSmart Materials and Structures10.1088/1361-665X/ad31cf33:4(045023)Online publication date: 19-Mar-2024
  • (2023)Research on Adaptive Evolution Architecture for Spacecraft Control System2023 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)10.1109/ARACE60380.2023.00027(128-133)Online publication date: 18-Aug-2023
  • (2023)Conception of spacecraft autonomous mission management systemHigh-Reliability Autonomous Management Systems for Spacecraft10.1016/B978-0-443-13283-4.00003-2(149-162)Online publication date: 2023
  • (2022)ReferencesRadio Science Techniques for Deep Space Exploration10.1002/9781119734178.biblio(267-310)Online publication date: Apr-2022
  • (2015)Coupled Cyber–Physical System Modeling and Coregulation of a CubeSatIEEE Transactions on Robotics10.1109/TRO.2015.240943131:2(443-456)Online publication date: Apr-2015
  • (2015)Remote sensing satellite networking technology and remote sensing system: A survey2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)10.1109/ICEMI.2015.7494508(1251-1256)Online publication date: Jul-2015
  • (2014)An autonomous navigation scheme based on starlight, geomagnetic and gyros with information fusion for small satellitesActa Astronautica10.1016/j.actaastro.2013.09.00494:2(708-717)Online publication date: Feb-2014
  • (2014)New Techniques for Checking Dynamic Controllability of Simple Temporal Networks with UncertaintyRevised Selected Papers of the 6th International Conference on Agents and Artificial Intelligence - Volume 894610.1007/978-3-319-25210-0_11(170-193)Online publication date: 6-Mar-2014
  • (2013)Science Goal Driven Observing and Spacecraft AutonomySpaceOps 2002 Conference10.2514/6.2002-T3-41Online publication date: 27-Mar-2013
  • (2013)Onboard science analysis and replanning for increased science returnAIAA Space 2001 Conference and Exposition10.2514/6.2001-4596Online publication date: 11-Feb-2013
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