Motivation and Objectives
In the last two decades, probabilistic data-driven approaches to manipulation have celebrated extensive successes due to their ability to extract complex behaviour from collected data. Generative probabilistic approaches furthermore have the advantage that they can synthesize grasps based on previously seen data. However these approaches can often only be verified empirically and do not necessarily abide by physical and dynamical constraints which can be modelled manually in an analytical approach. At the same time, these classical physics-based approaches to manipulation have advanced, and have started to incorporate a notion of uncertainty in their analysis. However simplifying assumptions e.g. on the contact and friction model, often have to be made. The combination of physics-based constraints with probabilistic reasoning however remains one of the key challenges in this field. This workshop focuses on bridging this gap, as well as on discussing the respective benefits of analytical and probabilistic approaches in various application domains.
The aim is to bring together researchers with different approaches to grasping and manipulation, both from the classical analytical/physics modelling based background and from the purely data-driven direction. Invited speakers will get a 30 minute slot to present their latest work relevant to the workshop theme, also including the limits and opportunities that they see with these approaches and how they can be combined and feature in their own work. We will organize an interactive poster session, allowing more contributors to present their work and have detailed discussions with the workshop attendees. Contributed papers will be published on the website and invited to present a poster. We hope to include many contributors and have fruitful discussions between invited speakers, active contributors, and the audience.
Call for Papers
We welcome the submission of two page extended abstracts describing new or ongoing work. The best two submissions will be selected for oral presentations during the workshop. Final instructions for poster presentations and talks will be available on the workshop website after decision notifications have been made. Accepted presenters will have the option of submitting a full length six-page paper. All contributed papers will be accessible on the workshop website. Submissions should be in .pdf format using the RSS paper template. Please send submissions to the organizers with the subject line "RSS 2015 Workshop Submission”. For any questions or clarifications, please contact the organizers.
Prof. Pieter Abbeel, UC Berkeley
Prof. Antonio Bicchi, University of Pisa
Prof. Aude Billard, EPFL (tentative)
Prof. Jonas Buchli, ETH
Dr. Jeannette Bohg , Max Planck Institute for Intelligent Systems
Ian Lenz, Cornell University
Prof. Jan Peters, TU Darmstadt (tentative)
Abstract submission deadline: June 19, 2015
Acceptance notification: June 26, 2015
Final materials due: July 6, 2015
Workshop date: July 16, 2015
Florian T. Pokorny (UC Berkeley), firstname.lastname@example.org
Yu Sun (USF), email@example.com
Carl Henrik Ek (KTH), firstname.lastname@example.org
Yasemin Bekiroglu (KTH), email@example.com