Call for Participation
Delft Workshop on Robot Learning (DWRL) 2017
October 2nd, 2017
Delft University of Technology, The Netherlands
W: http://ii.tudelft.nl/dwrl2017/
About the workshop
The aim of this one-day workshop is to gather scientist that are working on the intersection of machine learning and robotics. Applications of machine learning techniques in the robotic setting are strongly increasing, e.g., in movement generation, in decision making, in control, in vision, in perception, in design optimization, etc. At the same time, high-impact machine learning publications seem to put less-and-less emphasis at data efficiency. Thereby, these implementations are hard to transfer to real-world robots, which can only learn in wall-clock time and suffer from wear-and-tear. The goal of this workshop is to identify the common themes and challenges in learning techniques for robots, with researchers from a variety of robot learning directions. We also encourage participation from non-robotic machine learners (i.e. with work in simulation), when they are interested in joining the discussion about the long-term horizon for their techniques in real-world applications.
Important dates
Submission deadline: September 20th, 2017 (UTC +00:00)
Workshop date: October 2nd, 2017
Submission guidelines
- To participate you submit an abstract (max 2 pages incl. pictures, excl. references) at https://easychair.org/conferences/?conf=dwrl2017. The abstracts will be made publicly available at the workshop webpage in advance. You can download a Latex template for the abstract here.
- At the day itself you are requested to give a 5 min. flash talk, and prepare a poster for the poster session.
Workshop format
This one-day workshop (approx. 30 participants) intends to bring together researchers in a smaller, informal setting. Lunch and coffee are included, dinner is optional at own cost. See http://ii.tudelft.nl/dwrl2017/?q=programme for a tentative programme.
List of topics
Reinforcement learning, deep learning for robotics (e.g., in object recognition, task learning), representation learning, planning under uncertainty, imitation learning, programming by demonstration, adaptation and adaptive behavior, evolutionary robotics, emotion and learning.
Organizers:
Joost Broekens (TU Delft)
Jens Kober (TUD)
Matthijs Spaan (TUD)
Thomas Moerland (TUD)
Invited Speakers:
Gusti Eiben (Vrije Universiteit Amsterdam)
Sven Behnke (Universitat Bonn)
Sylvain Calinon (Idiap Research Institute)
Frans Oliehoek (University of Liverpool)
Venue & cost:
Registration is free of charge (lunch and coffee breaks included, possible diner at own expense).
The workshop takes place at the Science Centre, Delft, The Netherlands.
Contact:
All questions about submission and attending may be emailed to dwrl2017@gmail.com