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RSS 2019 workshop

The Robotics: Science and Systems conference (RSS) has a long history of bringing together researchers in all areas of robotics from around the world for an engaging and focused week of scientific exchange. Workshops are an important part of the RSS programme. 

For the RSS 2019, to be held in Freiburg, Germany, we cordially invite you to contribute to our workshop on recent advances in neurorobotics.

Research in Neurorobotics has seen great progress in recent years, including improved brain signal decoding techniques, better robot control algorithms, and innovative brain-computer interfaces. However, to address challenges such as rapid adaptation of BCIs and robot skills to new tasks and users, personalized robot behavior and rehabilitation paradigms, and smooth human-robot interaction, new solutions will have to be found. In this workshop, we bring together researchers from Neuroscience, Robotics, and Machine Learning to interact and propose new directions towards this goal. The workshop will have a particular focus on robots and technical devices that interact with the human and potentially are controlled via brain-machine interfaces.

Important Dates:
June 5, 2019 | Abstract submission deadline
June 10, 2019 | Acceptance notification
June 22, 2019 | Workshop


Invited Speakers

Anca Dragan, Berkeley, USA

Yukie Nagai, University of Tokyo, JP

Elmar Rueckert, University of Luebeck, DE

Moritz Grosse-Wentrup, Universitaet Wien, AU

Agnieszka Wykowska, Istituto Italiano di Tecnologia, IT

Call for Abstracts

We invite submission of 2-4 page extended abstracts compliant with the RSS style guidelines. Submissions may include late-breaking results, under review material, or material on arXiv. Accepted contributions will be presented in a poster session, and may be selected for a short spotlight presentation.

Topics include, but are not limited to:

  • Shared autonomy between robots/neurotechnological devices and humans
  • Utilization of developmental processes and constraints in the brain for robot learning
  • Neural mechanisms underlying social interaction
  • Motion prediction in humans and robots
  • Application of machine learning techniques for motor rehabilitation
  • Deep (reinforcement) learning methods for brain-machine interfaces, (brain-controlled) robots and prostheses
  • Learning rules inspired by structural and synaptic plasticity
  • Neuromorphic implementations of neural networks

Please send your submissions via email to rss-neurorob-2019(at)

Thanks for your submissions! The call is closed.


09:00-09:10 Welcome and introductory remarks
09:10-09:45 Agnieszka Wykowska, Investigating the neural underpinnings of socio-cognitive mechanisms involved in human-robot interaction
09:45-10:20 Moritz Grosse-Wentrup, Personalized Motor Rehabilitation
10:20-10:40 Poster spotlights
10:40-11:20 Coffee break + poster session
11:20-11:55 Tonio Ball, Deep Learning for Brain-Computer Interfacing
11:55-12:30 Joschka Boedecker, Reinforcement Learning for Intelligent Implants and Human-Compliant Robot Behavior
12:30-13:15 Lunch break
13:15-13:50 Anca Dragan, The shared autonomy view on neurorobotics
13:50-14:25 Yukie Nagai, Computational models of predictive coding for robot cognitive development
14:25-14:55 Coffee break + poster session
14:55-15:30 Elmar Rueckert, Neural and probabilistic model learning in robots and humans
15:30-16:00 Panel discussion