CSE591F: Robotics Group Meeting

Date	Presenter	Papers
Oct 6	Dieter Fox	Statistical Relational Models for Semantic Robot Mapping A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition
Oct 13	Cynthia Matuszek	Learning to Sportscast: A Test of Grounded Language Acquisition Walk the Talk: Connecting Language, Knowledge, Action in Route Instructions
Oct 20	Peter Henry	Describing Composite Urban Workspaces Fast Probabilistic Labeling of City Maps
Oct 27	Jonathon Ko	Sparse Gaussian Processes Using Pseudo-inputs Gaussian Processes for Machine Learning, Ch. 2
Nov 3	James McLurkin	Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields (section 3) Multi-Robot Belief Propagation for Distributed Robot Allocation Multi-robot Markov Random Fields Conditional Random Fields: An Introduction (optional)
Nov 10	Guest Presentation: Wolfram Burgard
Nov 17	Kevin Lai	Recognition by Association via Learning Per-exemplar Distances
Nov 24	Deepak Verma	A Bayesian Approach to Imitation in Reinforcement Learning
Dec 1	Christian Vollmer	Continuum Crowds (associated videos can be found here) Navigate Like a Cabbie: Probabilistic Reasoning from Observed Context-Aware Behavior Maximum Entropy Inverse Reinforcement Learning (optional)