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Note: AIMA is short for the course text, Artificial Intelligence: A Modern Approach, (2nd edition) by Stuart Russell and Peter Norvig.
W
Feb 2: Introduction to Cognitive Robotics & M Feb 7: Kinodynamic and Randomized
Path Planning
"Path
Planning Using Lazy PRM."
, Bohlin, R., and L. Kavraki, Intl. Conf. on Robotics and Automation
(ICRA) (2000).
"Randomized
Kinodynamic Motion Planning with Moving Obstacles.",
"Consistent,
Convergent, and Constant-Time SLAM."
J. Leonard
and P. Newman, 18th
International Joint Conference on Artificial Intelligence (Acapulco,
August 2003).
"Valued
Constraint Satisfaction Problems: Hard and easy problems", JT. Schiex,
H. Fargier, and G. Verfaillie,
"Constraint
Processing", Chapter 9 (Tree Decomposition Methods) and Chapter 13 (Constraint
Optimization),
"Algebraic
decision diagrams and their applications."
"Bridging the Gap between Planning and Scheduling." David E. Smith, Jeremy Frank, and Ari Jonsson. Knowledge Engineering Review, 15 (1), 2000.
"Executing Reactive, Model-based Programs through Graph-based Temporal Planning." P. Kim, B. Williams, and M. Abramson, IJCAI 2001 (487-493).
"Strategies for Global Optimization of Temporal Preferences", P Morris, R Morris, Lina Khatib, Salesh Ramikrishnan, Andrew Bachmann
M Mar 7: Dynamic Plan Execution Under Uncertainty
"Optimal and Efficient Path Planning for Partially-Known Environments." A. Stentz, Proceedings IEEE International Conference on Robotics and Automation, May 1994.
M Mar 28: Planning with POMDPS (Bairstow, Bush, Jiminez)
"Approximate Planning in POMDPS with Macro-Actions," Georgios Theocharous and Leslie Pack Kaelbling, Advances in Neural Information Processing Systems 16, Vancouver, 2004 (NIPS-03).
``Finding
Approximate POMDP solutions Through Belief Compression''. N. Roy, G. Gordon
and S. Thrun. Journal of Artificial Intelligence
Research, 23: 1-40, 2005.
“PhD Thesis: Finding
Approximate POMDP Solutions Through Belief Compression,” N. Roy, Robotics
Institute, Carnegie Mellon University, 2003.
“Artificial Intelligence: A Modern
Approach (Second Edition),” , Stuart Russell and Peter Norvig,, Prentice
Hall, 2002
``Planning
and Acting in Partially Observable Stochastic Domains,'' Leslie Pack Kaelbling,
Michael L. Littman and Anthony R. Cassandra, Artificial Intelligence,
Vol. 101, 1998.
“Introduction to Operations
Research (Fourth Edition),” , Hiller and Lieberman, Holden-Day, Inc.,
1986
“Reinforcement
Learning Algorithm for Partially Observable Markov Decision Problems,”
Jaakkola, T., Singh, S., and Jordan, M. Advances In Neural Information
Processing Systems, MIT Press, 1995.
“Representing
hierarchical POMDPs as DBNs for multi-scale robot localization,” Georgios
Theocharous, Kevin Murphy, and
Leslie Pack Kaelbling, International Conference on Robotics and Automation,
2004.
W Mar 30: Model-based, Multi-Agent Reasoning in Texas Holdem Poker (Mihok, Terry)
"A tutorial on Hidden Markov Models and selected applications in speech recognition", L. R. Rabiner. Proceedings of the IEEE, 77(2):257--286, 1989.
"Learning bayes network structure from massive datasets: The "sparse candidate" algorithm", Friedman, N., Nachman, I., & Pe'er, D. (1999), UAI 15 (p. 206:215).
A comparison of statistical learning methods on the GUSTO database., Ennis M, Hinton G, Naylor D, Revow M, Tibshirani R., Stat Med. 1998; 17 (21): 2501-2508.
Tutorial on Bayes Nets, Andrew Moore.
. Machine Learning for Sequential Data: A Review. Dietterich, T. G. (2002). In T. Caelli (Ed.) Structural, Syntactic, and Statistical Pattern Recognition; Lecture Notes in Computer Science, Vol. 2396. (pp. 15-30). Springer-Verlag.
"What HMMs Can Do", Bilmes, Jeff, UWEE
Technical Report Number UWEETR-2002-0003. January 2002.
M Apr 4: Cognitive Game Theory (Fox, Pouly, Novosad)
Gross, R. K. Albrecht, W. Kantschik, W. Banzhaf. Evolving Chess Playing Programs. Proceedings of the Genetic and Evolutionary Computation Conference. 2002.
Walczak, Steven. Knowledge-Based
Search in Competitive Domains. IEEE Transactions on Knowledge and
Data Engineering, Vol. 15, No. 3, May/June 2003.
Banzhaf, W., P. Nordin, R.E. Keller, and F.D. Francone. "Genetic Programming
– An Introduction On The Automatic Evolution of Computer Programs and its
Applications". 1998.
Schaeffer, J. "The History Heuristic and Alpha-Beta Search Enhancements in Practice.", IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(11):1203-1212, 1989.
Schwefel, H. P. "Evolution and Optimum Seeking". John Wiley and Sons, Inc., 1996.
Walczak, Steven. "Improving Opening Book Performance Through Modeling of Chess Opponents", ACM o-89791-828-2/96/02. Philadelphia PA 1996.
M 11 Apr: Particle Filters and their Applications (Hsiao, Miller, Lefebvre de Plinval-Salgues)
Verma, Vandi, Geoff Gordon, Reid Simmons, and Sebastian
Thrun. "Particle
Filters for Rover Fault Diagnosis," IEEE Robotics & Automation
Magazine special issue on Human Centered Robotics and Dependability,
June 2004.
Thrun, Sebastian. "A
Probabilistic Online Mapping Algorithm for Teams of Mobile Robots,"
International Journal of Robotics Research, Vol. 20, 2001.
Montemerlo, Michael, Sebastian Thrun, Daphne Koller,
and Ben Wegbreit. "FastSLAM:
A Factored Solution to the Simultaneous Localization and Mapping Problem,"
Proceedings of the AAAI National Conference on Artificial Intelligence,
2002.
Stachniss, Cyrill, Giorgio Grisetti, and Wolfram Burgard. "Recovering
Particle Diversity in a Rao-Blackwellized Particle Filter for SLAM After Actively
Closing Loops." Proceedings of the IEEE International Conference
on Robotics and Automation, 2005.
Sebastian Thrun, John Langford, and Vandi Verma. "Risk
Sensitive Particle Filters," Proceedings of Neural Information
Processing Systems (NIPS), December, 2001.
Richard Dearden, Frank Hutter, Reid Simmons, Sebastian Thrun, Vandi Verma,
and Thomas Willeke. "Real-
time Fault Detection and Situational Awareness for Rovers: Report on the Mars
Technology Program Task," To appear in the Proceedings of IEEE
Aerospace Conference, March 2004.
W 13 Apr: Human-Robot Interaction: Goal Recognition (Dong, Qu, Coffee)
Nate Blaylock and James Allen. "Statistical goal parameter recognition". 14th International Conference on Automated Planning and Scheduling (ICAPS'04), Whistler, British Columbia, June 3-7 2004
Nate Blaylock and James Allen. "Corpus-based, statistical goal recognition". Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-2003), pages 1303-1308, Acapulco, Mexico, August 9-15 2003.
Rich, C.; Sidner, C.L., "COLLAGEN: A Collaboration Manager for Software Interface Agents", An International Journal: User Modeling and User-Adapted Interaction, Vol. 8, Issue 3/4, pps 315-350, 1998
N. Lesh, C. Rich, Charles and C. Sidner. "Using Plan Recognition in Human-Computer Collaboration." in Proceedings of the Seventh Int. Conf. on User Modelling, Banff, Canada, July 1999.
Barbara Grosz and Sarit Kraus. 1999. "The
Evolution of SharedPlans." In Foundations and Theories of Rational
Agencies, A. Rao and M. Wooldridge, eds. pp. 227-262.
W 20 Apr: Advanced Topics in Bayesian Networks (Temple, Howe, Lenfestey)
Learning Dynamic Bayesian Networks. Ghahramani.
Learning Probabilistic Relational Models. Friedman, Getoor, Koller, Pfeffer
"Artifical Intelligence, A Modern Approach". Russell and Norvig.
Chapter 14: Intro to Bayesian networks. Probabilistic
inference. PRM primer.
Chapter 15: Temporal Bayesian models. HMMs and DBNs.
"Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms". Myers, Laskey, Levitt
"Dynamic Probabilistic Relational Models". Sanghai, Domingos, Weld.
"Speech Recognition with Dynamic Bayesian Networks"
W 27 Apr: Safe Execution of Bipedal Walking Tasks
"A Sliding Controller for Bipedal Balancing Using Integrated Movement of Contact and Non-Contact Limbs", Hofmann, A. G., Popovic, M. B., Herr, H. M., IROS 2004
"Angular
Momentum Regulation During Human Walking", Popovic, M. B., Hofmann,
A. G., Herr, H. M., ICRA 2004
M May 2: Working with and Learning from Humans as Partners (Guest Cynthia Breazeal)
"Tutelage and Socially Guided Robot Learning.", A. Lockerd and C. Breazeal (2004), Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS04), Sendai, Japan.
"Working
Collaboratively with Humanoid Robots."C. Breazeal, A. Brooks, D.
Chilongo, J. Gray, G. Hoffman, C. Kidd, H. Lee, J. Lieberman, A. Lockerd
(2004), Proceedings of Humanoids 2004, Los Angeles, CA.
W May 4: Nursebot: dialogue as a decision
making process
"Towards
robotic assistants in nursing homes: challenges and results",