RSS 2019 Workshop on
Combining Learning and Reasoning – Towards Human-Level Robot Intelligence
June 22 (Saturday) 2019, Freiburg im Breisgau, Germany
Location: University of Freiburg, Faculty of Engineering, Building 101, Room 016-018
RSS 2019 Workshop on
June 22 (Saturday) 2019, Freiburg im Breisgau, Germany
Location: University of Freiburg, Faculty of Engineering, Building 101, Room 016-018
Robotics research has developed powerful model-based methods for perception, state estimation, planning, control, etc., which form the building blocks of the vast majority of successful robot systems. At the same time, data-driven, model-free learning has recently brought unprecedented success in various domains, where model-based methods struggle despite decades of research. The aim of this workshop is to bring together researchers from robotics and machine learning, and discuss opportunities and challenges towards building human-level robot intelligence, in particular, combining model-based reasoning and data-driven learning in a scalable and composable manner.
Some questions we would like to discuss:
The workshop will consist of invited talks, mini-debates, contributed talks, spotlight talks, and two poster sessions.
Faculty of Engineering, Building 101 (same as registration), Room 016-018.
Venue information: http://www.roboticsconference.org/attending/venue/
We invite participants from all fields of robotics to submit extended abstracts related to the workshop topic, anywhere on the spectrum between model-free learning and model-based reasoning. Submissions should be up to 2-4 pages + references using the RSS template and should not be anonymized.
Submissions can include original research, late breaking results, position papers, and literature reviews. Significant overlap with work submitted to other venues is acceptable, as long as it has not yet been published or presented.
Accepted submissions will be presented in 2-minute spotlight talks and in a dedicated poster session. Selected contributions may receive a longer presentation slot. All accepted abstracts will be posted on the workshop website.
Submission website: https://easychair.org/conferences/?conf=rssclear2019
Contributed Talks
Poster Presentation