Evolutionary Computation in Robotics
The EvoROBOT track focusses on evolutionary robotics: the application of evolutionary computation techniques to automatically design the controllers and/or hardware of autonomous robots, real or simulated. This is by nature a multi-faceted field that combines approaches from other fields such as neuro-evolution, evolutionary design, artificial life, robotics, et cetera.
We seek high quality contributions dealing with state-of-the-art research in the area of evolutionary robotics.
Topics include but are not limited to:
- Evolution of (neural) robot controllers;
- Evolution of modular robot morphology;
- Hardware/morphology and controller co-evolution;
- Open-ended evolution in robotics;
- Robotic evolutionary Artificial Life;
- Evolutionary self-assembly and self-replication;
- Evolution, development and learning;
- Evolutionary and co-evolutionary approaches.
Accepted papers will appear in the proceedings of EvoApplications,
published in a volume of the Springer Lecture Notes in Computer Science,
which will be available at the Conference. Submissions must be original and
not published elsewhere. The submissions will be peer reviewed by at least
three members of the program committee. The authors of accepted papers will
have to improve their paper on the basis of the reviewers comments and will
be asked to send a camera ready version of their manuscripts. At least one
author of each accepted work has to register for the conference and attend
the conference and present the work.
This year EvoApplications is accepting two kinds of submission: full papers and short papers. Full papers require novel and complete research work and have a limit of 16 pages. Short papers should present complete research or interesting preliminary results and have a limit of 8 pages. Both types of submission will undergo the same double blind review process and all accepted papers will be included in the LNCS proceedings. All authors of accepted papers will be given the opportunity to further disseminate their work in poster sessions.
Submission link: https://myreview.saclay.inria.fr/evoapps18/
- Submissions must be original and not published elsewhere. They will be
peer reviewed by members of the program committee. The reviewing process
will be double-blind, so please omit information about the authors in the
- Submit your manuscript in Springer
- Please provide up to five keywords in your Abstract
- Page limit: 8 pages (short papers) or 16 pages (full papers).
There are two types of presentation:
- Long talk (20 minutes + 5 min questions). Authors can optionally bring a poster to present at the poster session.
- Short talk (10 minutes, no questions). Authors MUST also bring a poster to present at the poster session.
Short papers are only eligible for short talks. Authors of long papers will be notified in advance of the type of presentation (short/long).
EvoROBOT track chairs
- Kyrre Glette
University of Oslo, Norway
- Julien Hubert
Vrije Universiteit Amsterdam, Netherlands
- Auerbach, Joshua ; Champlain College, United States
- Bredeche, Nicolas ; Institut des Systèmes Intelligents et de Robotique, France
- Christensen, Anders; University Institute of Lisbon, ISCTE-IUL, Portugal
- Doncieux, Stephane ; Institut des Systèmes Intelligents et de Robotique, France
- Haasdijk, Evert ; VU University Amsterdam, The Netherlands
- Hamann, Heiko ; University of Paderborn, Germany
- Heinerman, Jacqueline ; VU University Amsterdam, The Netherlands
- Huizinga, Joost ; University of Wyoming, United States
- Montanier, Jean-Marc ; Softbank Robotics Europe, France
- Mouret, Jean-Baptiste ; INRIA Larsen Team, France
- Nitschke, Geoff ; University of Cape Town, South Africa
- Nolfi, Stefano ; Institute of Cognitive Sciences and Technologies, Italy
- Ellefsen, Kai Olav; University of Oslo, Norway
- Rossi, Claudio ; Universidad Politecnica De Madrid, Spain
- Schmickl , Thomas ; University of Graz, Austria
- Witkowski, Olaf ; Earth-Life Science Institute, Tokyo, Japan
- Clark, Anthony ; Michigan State University, United States
- Moore, Jared ; Grand Valley State University, United States