Abstract
The aim of this workshop is to gather scientist that are working on learning and adaptive robots, to identify common themes and challenges in learning techniques for real-world robotics that should and/or could be addressed at Delft as a centre of robotics research.

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 behaviour, evolutionary robotics.

Format
One day workshop with approximately 30 participants. All participants submit a 2-page abstract in advance, and present a poster and a 5 minute flash talk. 3-4 invited speakers. Two discussion slots.
Lunch and coffee included, optional dinner at own cost.

Tentative programme: (9.00 – 18.00)
9:00 Coffee and welcome
9:30 Invited speaker 1
10:00 Flash talks (6×5 minutes)
10:30 Invited speaker 2
11:00 Coffee and poster session 1
12:00 Lunch
13:00 Invited speaker 3
13:30 Flash talks (6×5 minutes)
14:00 Invited speaker 4
14:30 Flash talks (6×5 minutes)
15:00 Coffee and poster session 2
15:45 Wrap-up for discussion topics
16:00 Discussion session 1 (possibly 2 parallel sessions on two different topics).
17:00 Discussion session 2 (possibly 2 parallel sessions on two different topics).
18:00 Closing and reception.
19:00 Dinner (optional and at own cost)

Call for participation
Expected early august.

Location: Mekelzaal 4 (MSB4), Science Centre Delft, Delft University of Technology. Mijnbouwstraat 120, 2628 RX Delft, The Netherlands.


When

mon02Oct

9:00 AM6:00 PM

Location

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