We are pleased to invite you all to contribute to the 1st international workshop on Robot Learning and Planning (RLP 2016)<http://chitsazlab.org/robotics/rlp2016/> at RSS 2016. The solicited papers are expected to present challenges in the related fields and potential future directions. The main purpose of this workshop is promoting dialogue and brainstorming in the "Robot Learning and Planning" to identify new research directions and underdeveloped areas. By design, we expect the submitted papers to be rather unconventional and potentially controversial to promote dialogue. To archive these discussions, the accepted papers will be published, and a summary of the discussed topics will be disseminated either in the form of a review article or a website. The main objective of this workshop is to discuss new fundamental research directions and their applications for the next generation of robots. Specific topics include but are not limited to integration or application of machine learning and planning in
* Adaptive and Reconfigurable Robotic Systems * Aerial Robotics * Assembly Automation and Self-Assembly Systems * Biomedical Robotics * Bionics (biomimetic robotics, neurobotics, synthetic biological systems, and etc.) * Complex and High Dimensional Environments * Distributed Robotic Systems * Field Robotics (underwater robotics, agricultural robotics, mining robotics, and etc.) * Geometry-based Algorithms * Human-Robot Interaction * Kinematics, Dynamics, and Control * Manipulation * Mechanisms (humanoids, hands, legged systems, and etc.) * Mobile Systems and Mobility (localization, mapping, and navigation) * Search Algorithms * Scheduling * Simultaneous Learning and Planning * Task and Policy Learning and Planning Important Dates: Announcement of Call for Papers: April 11, 2016 Full Paper Submission Due: May 22, 2016 Acceptance Notification: May 29, 2016 Workshop: June 18, 2016 Program Committee: * Ali Agha, Qualcomm Research * Chuck Anderson, Colorado State University * Kostas Bekris, Rutgers University * Maren Bennewitz, University of Freiburg * Gianni Di Caro, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale * Stefano Carpin, University of California-Merced * Hamidreza Chitsaz, Colorado State University * Howie Choset, Carnegie Mellon University * Juan Cortés, LAAS-CNRS * Angel P. del Pobil, Jaume I University * Thierry Fraichard, INRIA * Roland Geraerts, University of Utrecht * Kamal Gupta, Simon Fraser University * Adele Howe, Colorado State University * Seth Hutchinson, University of Illinois at Urbana-Champaign * Miles J. Johnson, Toyota Technical Center * Marcelo Kallmann, University of California, Merced * Lydia Kavraki, Rice University * Sven Koenig, University of Southern California * Jyh-Ming Lien, George Mason University * Dinesh Manocha, University of North Carolina at Chapel Hill * Rafael Murrieta-Cid, Center for Mathematical Research * Giuseppe Oriolo, Sapienza University of Rome * Wheeler Ruml, University of New Hampshire * Surya P. N. Singh, University of Queensland * Frank van der Stappen, Utrecht University * Chee Yap, New York University We invite submissions to our special "Robot Learning and Planning" workshop. The RLP 2016 submission website<https://easychair.org/conferences/?conf=rlp2016> is open now to receive the submissions. ----------------------------------------------------- Reza Iraji, M.Sc. Ph.D. Candidate Department of Computer Science Colorado State University Email: ir...@colostate.edu<mailto:ir...@colostate.edu> URL: http://www.cs.colostate.edu/~iraji/
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