Abstract
The Autonomous Sciencecraft Experiment (ASE) will fly onboard the Air Force TechSat 21 constellation of three spacecraft scheduled for launch in 2006. 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. Demonstration of these capabilities in a flight environment will open up tremendous new opportunities in planetary science, space physics, and earth science that would be unreachable without this technology.
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References
M.C. Burl, L. Asker, P. Smyth, U. Fayyad, P. Perona, J. Aubele, and L. Crumpler, “Learning to Recognize Volcanoes on Venus,” Machine Learning Journal, April 1998.
M.C. Burl and D. Lucchetti, “Autonomous Visual Discovery”, SPIE Aerosense Conference on Data Mining and Knowledge Discovery, (Orlando, FL), April 2000.
M.C. Burl, W.J. Merline, E.B. Bierhaus, W. Colwell, C.R. Chapman, “Automated Detection of Craters and Other Geological Features” Intl Symp Artificial Intelligence Robotics & Automation in Space, Montreal, Canada, June 2001
S. Chien, G. Rabideau, R. Knight, R. Sherwood, B. Engelhardt, D. Mutz, T. Estlin, B. Smith, F. Fisher, T. Barrett, G. Stebbins, D. Tran, “ASPEN-Automating Space Mission Operations using Automated Planning and Scheduling,” SpaceOps, Toulouse, France, June 2000.
S. Chien, R. Knight, A. Stechert, R. Sherwood, and G. Rabideau, “Using Iterative Repair to Improve Responsiveness of Planning and Scheduling,” Proc Fifth International Conference on Artificial Intelligence Planning and Scheduling, Breckenridge, CO, April 2000.
S. Chien, B. Engelhardt, R. Knight, G. Rabideau, R. Sherwood, E. Hansen, A. Ortiviz, C. Wilklow, S. Wichman “Onboard Autonomy on the Three Corner Sat Mission,” Intl Symposium on Artificial Intelligence Robotics and Automation in Space, Montreal, Canada, June 2001
A. Jonsson, P. Morris, N. Muscettola, K. Rajan, and B. Smith, “Planning in Interplanetary Space: Theory and Practice,” Procs 5th Int Conference on Artificial Intelligence Planning Systems, Breckenridge, CO, April 2000. J. Kurien and P.P. Nayak, “Back to the Future for Consistency-based Trajectory Tracking,” Proc. National Conference on Artificial Intelligence, Austin, TX, 2000.
R. P. Bonasso, R. J. Firby, E. Gat, D. Kortenkamp, D. Miller, and M. Slack, Experiences with Architecture for Intelligent, Reactive Agents, Journal of Experimental and Theoretical Artificial Intelligence, Vol. 9, No. 1, 1997.
S. Chien, A. Barrett, T. Estlin, and G. Rabideau, A Comparison of Coordinate Planning Methods for Cooperating Rovers, Fourth International Conference on Autonomous Agents (Agents 2000), Barcelona, Spain, June 2000.
B. Clement, A. Barrett, E. Durfee, and G. Rabideau, “Using Abstraction to Coordinate Multiple Robotic Spacecraft,” Proceedings of the 2001 Intelligent Robots and Systems Conference, Maui, HI, November 2001.
N. Muscettola, G. Dorais, C. Fry, R. Levinson, and C. Plaunt, “IDEA: Planning at the Core of Autonomous Reactive Agents,” Proceedings of the AIPS-2002 Conference, Tolouse, France, April 2002.
G. Rabideau, R. Knight, S. Chien, A. Fukunaga, A. Govindjee, “Iterative Repair Planning for Spacecraft Operations in the ASPEN System,” Intl Symp on A.I. Robotics and Automation in Space, Noordwijk, The Netherlands, June 1999.
R. Sherwood, G. Rabideau, S. Chien, B. Engelhardt, “ASPEN User’s Guide,” http://aspen.jpl.nasa.gov, August 2002.
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© 2002 Springer-Verlag Berlin Heidelberg
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Sherwood, R., Chien, S., Castano, R., Rabideau, G. (2002). Autonomous Planning and Scheduling on the TechSat 21 Mission. In: McKay, B., Slaney, J. (eds) AI 2002: Advances in Artificial Intelligence. AI 2002. Lecture Notes in Computer Science(), vol 2557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36187-1_19
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DOI: https://doi.org/10.1007/3-540-36187-1_19
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