CALL FOR POSTER SUBMISSIONS RSS 2009 Workshop on bridging the gap between high-level discrete representations and low-level continuous behaviors
http://learning-robots.de/TC/RSS2009 Sunday, June 28, 2009 in Seattle, WA As part of the Robotics: Science and Systems Conference (www.roboticsconference.org) Important Dates April 20, 2009 Poster Abstract Submission Deadline May 15, 2009 Notification of Acceptance June 28, 2009 Workshop Introduction Recently, robotics researchers have been investigating the modeling of human and robot behavior in terms of motion primitives. This research direction, based on biological and neuroscience findings, posits that human behavior is composed of motor primitive units, which can be acquired by a robot through imitation learning or practice. Motion primitives offer an approach for discretizing continuous behavior, representing a "bottom-up" approach for organizing robot behavior. On the other hand, in AI and planning fields, there has been a longstanding area of research in planning and acting in the discrete domain, or through modeling changes in the world as an instantaneous change in discrete state. This approach can be thought of as a "top-down" approach for organizing robot behavior. In this workshop, we hope to bring together researchers from both areas to discuss approaches for "bridging the gap" and combining continuous domain approaches with discrete representations. Topics of Interest We invite poster submissions from researchers working on combining discrete representations with continuous behaviors for robotic systems. Specific topics of interest include: - motion primitive representations and task abstractions - learning and parsing sequences and plans of motion primitives - imitation learning and learning from observation based on motion primitives - hierarchical reinforcement learning - apprenticeship learning of composed tasks - hybrid task control - hierarchical organization of behaviors - learning operator conditions for primitives - plan recognition - plan generation and modification Submission Guidelines Authors should submit a 1-2 page abstract of their poster by email to postersubmissi...@learning-robots.de, by April 20, 2009. Workshop Organizers Dana Kulić Department of Mechano-Informatics University of Tokyo d...@learning-robots.de Pieter Abbeel Department of Electrical Engineering and Computer Science University of California at Berkeley pabb...@cs.berkeley.edu Jan Peters Department for Empirical Inference and Machine Learning Max Planck Institute of Biological Cybernetics m...@jan-peters.net _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
