The euROBIN Europe Robotics Strategic Agenda (SRA) is ready and we are honoured to be able to present it.
The euROBIN Europe Robotics Strategic Agenda (SRA) provides a roadmap for advancing AI and embedded robotics in a way that aligns with Europe's broader goals of sustainability, equity and economic growth. It addresses key challenges in robotics that require further research and technological breakthroughs for large-scale deployment.
Do you know why? The SRA not only addresses immediate challenges but also lays the foundations for future innovation, ensuring that AI and robotics can play a decisive role in solving social, economic and environmental problems in the EU, thereby positioning the EU as a leader in shaping technology for the public good.
The continuous advancement of research is converging with the rapid evolution of artificial intelligence techniques, resulting in AI embedded in physical bodies that interact with the environment, with other intelligent agents and with humans.
Our environment is beginning to assume that a new generation of complex, cognitive and adaptive multi-purpose machines surrounds us, and the SRA of the euROBIN project is key to aligning this new environment with the EU's objectives.
In the SRA you will find our proposal for the Strategic Agenda for Robotics in Europe with an analysis of the problems solved and the remaining challenges as well as the successes, obstacles and remaining challenges we face in robot-human interaction and proposals for new technologies. An agenda that positions Europe as a world leader in ethical, impactful and sustainable technological innovation.
Congratulations to Aude Billard, her EPFL team and the euROBIN team involved in the SRA.
We invite you to read the document downloadble here: euROBIN Europe Robotics Strategic Agenda (SRA)
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Thanks to all Authors:
- Aude Billard, Learning Algorithms and Systems Labo- ratory (LASA), École Polytechnique Fédérale de Lau- sanne (EPFL), Lausanne, Switzerland (Lead)
- Alin Albu-Schaffer, Institute of Robotics and Mecha- tronics, DLR-German Aerospace Center/Department of Informatics, Technical University of Munich, Germany
- Rachid Alami, Laboratory for Analysis and Architecture of Systems (LAAS-CNRS) Toulouse, France
- Tamim Asfour, Karlsruhe Institute of Technology, Ger- many
- Michael Beetz, Institute for Artificial Intelligence, Com- puter Science Department, University of Bremen
- Oliver Brock, Robotics and Biology Laboratory, Techni- sche Universität Berlin, Germany
- Wolfram Burgard, Department of Engineering, Univer- sity of Technology Nuremberg, Germany
- Gordon Cheng, Technical University of Munich, Ger- many
- Auke Ijspeert, Biorobotics Laboratory, École Polytech- nique Fédérale de Lausanne (EPFL), Lausanne, Swit- zerland
- Serena Ivaldi, Inria Center of the University of Lorrai- ne, France
- Danica Kragic, School of Computer Science and Com- munication, Royal Institute of Technology, Stockholm, Sweden
- Christophe Leroux, CEA, France
- Bradley Nelson, Multi-Scale Robotics Lab, ETH Zuri- ch, Switzerland
- Anibal Ollero, Universidad de Sevilla, Spain
- Astrid Rosenthal-von der Pütten, Aachen University, Germany
- Davide Scaramuzza, Robotics and Perception Group, University of Zurich, Switzerland
- Bruno Siciliano, Università di Napoli Federico II, Italy
- Stefano Stramigioli, University of Twente, Nether- lands
- Bram Vanderborght, BruBotics, Vrije Universiteit Brussel & Imec, Belgium
- Chiara Sabelli, independent researcher
- Nicola Nosengo, formicablu SRL, Bologna, Italy
and Contributors:
- Henrik I. Christensen, UC San Diego, La Jolla, USA
- Matei Ciocarlie, Columbia University, New York City, USA
- Peter Corke, Center for Robotics, Queensland University of Technology, Brisbane, Australia
- Ravinder Dahiya, Northeastern University, Boston, USA
- Ken Goldberg, University of California, Berkeley, USA
- Fumiya Iida, Bio-Inspired Robotics Laboratory, University of Cambridge, UK
- Lydia Kavraki, Department of Computer Science, Rice University, Houston, USA
- Kazuhiro Kosuge, University of Hong Kong
- Cecilia Laschi, National University of Singapore, Singapore
- Yukie Nagai, International Research Center for Neurointelligence, The University of Tokyo