Topics:
- World models for robotics
- Predictive coding
- Probabilistic generative models for robotics
- Reinforcement learning with partial observations
- Representation learning for robotics
- Active inference and exploration for robotic
- Free-energy principle in robotics
- Whole-brain probabilistic generative models
- Cognitive development and symbol emergence in robotics
- Neuro/brain-inspired cognitive systems for robotic
- Software frameworks for the application of world models and predictive coding in robotics
- Cognitive architectures for robots
- Symbol emergence with world modeling and predictive coding
- Model based intention prediction in robotics
- Adaptive world and agents models for social robotics
Important dates:
Submission due:31 Jul 2022
Review (1st round):Aug - Sep 2022
Re‐submission due:30 Nov 2022
Review (2nd round):Nov 2022 - Jan 2023
Material Submission due to the publisher:28 Feb 2023
Publish: May 2023(Vol.37, Issue 9)
Guest Editors:
Prof. Tadahiro Taniguchi (Ritsumeikan University, Japan)
Prof. Dimitri Ognibene (Università Milano-Bicocca, Italy)
Dr. Lorenzo Jamone (Queen Mary University of London, UK)
Dr. Emre Ugur (Bogazici University, Turkey)
Dr. Pablo Lanillos (Donders Institute for Brain, Cognition and Behaviour, Netherlands)
Dr. Alejandra Ciria (National Autonomous University of Mexico, Mexico)
Dr. Masahiro Suzuki (Tokyo University, Japan)
Dr. Shingo Murata (Keio University, Japan)
Dr. Yoshihiro Nakata (The University of Electro-Communications, Japan)
Dr. Tomoaki Nakamura (The University of Electro-Communications, Japan)
On behalf of the editors,
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Dr. Pablo Lanillos
Tenured assistant professor in Cognitive Artificial Intelligence | AI Robotics Lab
ELLIS Nijmegen Unit
Donders Institute for Brain, Cognition and Behaviour, the Netherlands
p.lanillos [at] donders [dot] ru [dot] nl