We are organizing a Robot Learning and Planning Workshop 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 community to identify new research directions and underdeveloped areas. This workshop aims to create vision for computing research through bringing special "Robots Learning and Planning" tracks to leading computer science research conferences. 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. We will offer three Best Paper Awards for our workshop, which will be selected out of the accepted papers based on evaluations by the program committee and potentially votes from the audience.
Overview
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
Organizers
- Reza Iraji, Colorado State University
- Hamidreza Chitsaz, Colorado State University
Objectives
With the advent of corobots acting in direct support of individuals and groups, fostered by the industry and also the National Robotics Initiative, we are now at the dawn of a new era in which semiautonomous robots intimately enter our lives. In such a symbiotic human-robot and bionic world, corobotic systems with critical missions will emerge as human mates for medical, educational, entertainment, and military applications. The paradigm shift induced by this change in the range of deployment of robots necessitates opening a front to discuss new problems that do not fit into the conventional frameworks as well as novel directions expected to help solve existing unresolved problems. 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 15, 2016 May 25, 2016
Acceptance Notification: May 29, 2016 June 8, 2016
Camera Ready Submission Due: June 13, 2016
Workshop: June 18, 2016
Invited Speaker
- John E. Laird, University of Michigan
Call for Papers
The RLP 2016 submission website is open now to receive the submissions.
We invite submissions to our special Robot Learning and Planning workshop. The emphasis of this workshop will be on visionary ideas, long term challenges, and opportunities in research that are outside of the current mainstream topics of the related fields. Submissions will be judged on the extent to which they expand the possibilities and horizons of the field or challenge existing assumptions prevalent in the field.
Submissions to this workshop should follow the same formatting guidelines as submissions to the research track, but are limited to at most 8 pages in length excluding the references for both submission and final publication. A paper template is available in Latex and Word. Authors should take care not to reveal their identity in their papers since the reviewing is double-blind. Accepted papers will be published in the conference proceedings and on the web only if they are presented at the conference. Presenters must register for this workshop at the rates announced on the RSS website. A summary of the topics discussed in the workshop will also be published alongside regular papers.
Best Paper Awards
To encourage researchers to present truly visionary concepts, we are offering non-monetary (unless we find a sponsor) recognition for up to 3 top papers in this special workshop. Selection of recognition winning papers will be done by the program committee after the conference, based on the novelty of proposed ideas, written and oral presentations, and potentially votes from the audience. Recognitions will be given in a ceremony after the workshop.
