Dive into the evolving world of advanced robotics with our special section exploring cognitive development and symbol emergence in robotics. This special section is a hub for researchers, engineers, and enthusiasts who are pushing the boundaries of what's possible in robotics.
For detailed information, please visit our official page on the Robotics Society of Japan (RSJ) website.
Special Section on Cognitive Development and Symbol Emergence
https://www.rsj.or.jp/pub/ar/ar-section/cog-ser.html
We look forward to the innovative ideas and groundbreaking research from our community.
Submit your papers and be a part of this pioneering journey in advanced robotics.
Section Chief Editor
Tadahiro Taniguchi
Professor, College of Information Science and Engineering
Ritsumeikan University, Japan
Humans develop their cognitive systems through physical and social interactions with their environment. They also organize symbol systems, including language, that enable communication and cooperation with others. These two processes are referred to as cognitive development and symbol emergence, respectively. Modeling and understanding these phenomena using a constructive/synthetic approach is important not only for developing lifelong learning autonomous robots, i.e., embodied artificial general intelligence, but also for understanding human cognitive systems. Despite the remarkable progress in AI and robotics, there is still considerable room for contributions in this area.
This section aims to elucidate the interrelated processes of cognitive development and symbol emergence in robotics. By providing a platform for interdisciplinary research exchange, we aim to advance the field of cognitive robotics and deepen our understanding of human cognition and symbolic representation.
Cognitive development involves the process of adaptation of robots' cognitive abilities over time, including learning from interactions. Symbol emergence focuses on the creation of symbols and symbolic systems through robots' interactions with their environment, addressing the need for meaningful, grounded symbols for communication and reasoning.
We invite contributions from a variety of disciplines, including robotics, AI, cognitive science, developmental psychology, linguistics, and neuroscience. By fostering interdisciplinary dialogue, we aim to push the boundaries of cognitive development and symbol emergence to advance the creation of intelligent, adaptive, and human-like robotic systems.
Cognitive Development,
Cognitive Robotics,
Developmental Robotics,
Cognitive and Developmental Systems,
Symbol Emergence,
Symbol Grounding,
Symbolic Representation,
Symbolic Systems,
Language Acquisition,
Embodied Cognition,
Sensorimotor/Multimodal Learning,
Human-like Cognitive Systems,
Social Interaction,
Human-Robot Interaction,
Symbolic Interaction,
Lifelong/Open-ended Learning,
Intrinsic Motivation,
Machine Learning,
Deep Learning,
Representation Learning,
Predictive Coding,
Free-Energy Principle,
Active Inference and Exploration,
World Models,
Probabilistic Generative Models,
Neuro/Brain-Inspired Cognitive Systems
[Section Chief Editor]
Tadahiro Taniguchi, Professor, College of Information Science and Engineering, Ritsumeikan University, Japan, taniguchi@em.ci.ritsumei.ac.jp
[Section Vice Chief Editor]
Yukie Nagai, International Research Center for Neurointelligence, The University of Tokyo, Japan, nagai.yukie@mail.u-tokyo.ac.jp
[Section Editor]
Alessandra Sciutti, Italian Institute of Technology *
Akira Taniguchi, Ritsumeikan University *
Angelo Cangelosi, University of Manchester
Britta Wrede, Bielefeld University
Chen Yu, University of Texas at Austin
Chie Hieida, Nara Institute of Science and Technology
Emre Ugur, Boğaziçi University *
Erhan Oztop, Özyeğin University / Osaka University
Friederike Eyssel, Bielefeld University
Hiroyuki Izuka, Hokkaido University
Jochen Triesch, Frankfurt Institute for Advanced Studies, Goethe University Frankfurt
Jun Tani, OIST
Kento Kawaharazuka, The University of Tokyo
Lorenzo Jamone, Queen Mary University of London
Masahiro Suzuki, The University of Tokyo *
Pablo Lanillos, Donders Institute for Brain Cognition and Behaviour, Nijmege
Pierre-yves Oudeyer, French Institute for Research in Computer Science and Automation (INRIA)
Reiji Suzuki, Nagoya University
Shingo Murata, Keio University *
Tadahiro Taniguchi, Ritumeikan University
Takato Horii, Osaka University *
Takayuki Nagai, Osaka University
Tatsuya Matsushima, The University of Tokyo
Tetsuya Ogata, Waseda University
Tomoaki Nakamura, University of Electro-Communications
Note that editors with (*) have the initial responsibility for handling submissions. Authors submitting contributed papers can suggest associate editors from editors with (*), and reviewers from all editors and possible reviewers outside the list.
[Advisor]
Minoru Asada, Osaka University / International Professional University of Technology in Osaka
Giulio Sandini, Italian Institute of Technology