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Foundations of State Estimation PartⅡ Topics: Hidden Markov Models Particle Filters Additional reading: L. R. Rabiner, \ tutorial on hidden Markoy models,\ Proceedings of the IEEE, vol. 77,. 257-286, 1989 Radford M. Neal, 1993. Probabilistic Inference Using Markov Chain Monte
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Temporal Planning in Space Brian C. Williams 16.412J/6.834J based on \Handling Time: February 23rd, 2004 Constraint-based Interval Planning,\ by David E. Smith Outline Operational Planning for the Mars Exploration Rovers
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Fault Aware Systems: Model-based Programming and Diagnosis Brian C. Williams 16.412J/6.834J March 8th, 2004 courtesy of JPL Four launches in 7 months MERS CSAIL
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Mapping Topics: Topological Maps SLAM HMMs Revisited Additional reading: B. J. Kuipers Y.-T. Byun. 1991. \A robot exploration and mapping strategy based on a semantic hierarchy of spatial rep rstations. jour. s and
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Model-based Diagnosis a failure is a discrepancy between the model and observations of an artifact a diagnosis restores consistency 1. Enumerate candidates in order of likelihood
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Using the Forest to See the Trees: Context-based Object Recognition Bill Freeman Joint work with Antonio Torralba and Kevin Murphy Computer Science and Artificial Intelligence Laboratory MIT computer vision goal Recognize many different objects under many viewing conditions in unconstrained settings
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Fast Solutions to CSPs Presented by: Robert Effinger Dan Lovell Presented To: 16.412J Cognitive Robotics MIT References: \Dynamic Backtracking\ Matthew L. Ginsberg, CIRL, University of Oregon Journal of Artificial Intelligence Research 1(1993)
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Distributed constraint Satisfaction problems 2 Asynchronous algorithms Thomas leaute 16.412J-Cognitive Robotics april 7. 2004 Presentation outline Introduction to CSPs and DCSPs 2. The Asynchronous Backtracking Algorithm 3. The asynchronous Weak-Commitment Search algorithm 4. Conclusion and Introduction to the task Allocation problem M. Yokoo, E Durfee, T. Ishida and K. Kuwabara, Distributed Constraint Satisfa
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Fast Solutions to CSp's Based on PROSSER, P. Hybrid algorithms for the constraint satisfaction problem. Computational Intelligence
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Leslie Pack Kaelbling, Michael. Littman and Anthony R. Cassandra, \Planning and Acting in Partially Observable Stochastic Domains,\ Artificial Intelligence, Vol. 101, 1998. j. Pineau,g. Gordon&s. Thrun\Point-based- value iteration: An anytime algorithm for POMDPs\. International Joint Conference on Artificial Intelligence(JCAI) Acapulco, Mexico. Aug
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