Neurorobotics Platform
 

What we do

The Neurorobotics Platform, NRP, is an integrative simulation framework that enables in silico experimentation and embodiment of brain models inside virtual agents interacting with realistic simulated environments. Conceived by the HBP Partners as an open access, open source tool, the NRP allows its users to observe, analyse and test the emergence of behavioural patterns in virtual agents controlled by state-of-the-art models of brain architecture and functions.

Users with different scientific background and level of expertise can all rely on the NRP if they seek achievements in the following application areas:

  • In silico neuroscience – improve and refine novel models of brain functions and architecture.
  • Co-design of robotic body and controller – design tools for advanced robotics.
  • Cognitive robotics - robots with enhanced decision-making capabilities and contextual awareness for use in autonomous exploration (deep sea, space), search and rescue in disaster areas, and more.
  • Testing and verification of robotic behaviour - Implement testing even under safety-critical situations.

Thanks to its direct connection to both Neuroscience research in the Human Brain Project and the EBRAINS HPC infrastructure, the NRP is the best available platform for scientific exploration and development of neuromorphic computing applications.

How we're organized

Software development activities for the NRP are organized around the two main components of the platform: Backend (SGA3 Task T5.8) and Frontend (SGA3 Task T5.9). These two tasks are led by partner TUM. They are complemented by another task (SGA3 Task T5.10, led by partner SSSA) that deals with implementation of specific services and experiments.

Publication highlights

  • Amunts, K. et al. (2019) The Human Brain Project—Synergy between neuroscience, computing, informatics, and brain-inspired technologies. PLoS Biol 17(7): e3000344. https://doi.org/10.1371/journal.pbio.3000344
  • Knoll A. et al. (2017) Neurorobotics: From Computational Neuroscience to Intelligent Robots and Back. In: Bode A., Broy M., Bungartz HJ., Matthes F. (eds) 50 Jahre Universitäts-Informatik in München. Springer Vieweg, Berlin, Heidelberg.
  • Falotico E. et a. (2017) Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform. Frontiers in neurorobotics vol. 11 2. 25 Jan. 2017, doi:10.3389/fnbot.2017.00002
  • Tieck J.C.V. et al. (2017) Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands. In: Lintas A., Rovetta S., Verschure P., Villa A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2017. ICANN 2017. Lecture Notes in Computer Science, vol 10613. Springer, Cham
  • Knoll A, Gewaltig MO (2016) Neurorobotics: A Strategic Pillar of the Human Brain Project. Science Robotics.