Emerging Technologies Technical Committee

 

Task Force on Bio-Inspired Self-Organizing Collective Systems

 

Organizers

 

Chair:   Prof. Hideyasu Sasaki, Keio Research Institute at SFC, Keio University, Fujisawa, Japan. (E-mail: hsasaki _at_ uchicago _dot_ edu)

 

Vice-Chairs Prof. Yaochu Jin, University of Surrey, Guildford, Surrey, UK. (E-mail: yaochu _dot_ jin _at_ surrey _dot_ ac _dot_ uk)

                         Dr. Zhengping Ji, Advanced Image Research Lab, Samsung, Pasadena, US. (E-mail: jizhengp _at_ gmail _dot_ com)

   

Mission

 

We are motivated to advance the research of bio-inspired solutions which have been explored in these decades since the advent of swarm intelligence. Many creatures on the globe live together in swarms. Individual creatures intelligently organize many tasks for their swarms without either external or global control. This self-organization is one of important phenomena observed in biological/ecological systems of swarms of creatures. Studying those self-organized collective systems inspires technical solutions which fulfil demands in human society and social dynamics. It is challenging and exciting to implement those solutions in an engineering manner. An exemplary solution has been pursued in robotic systems which support human activities. Robots or modules which interact with the individuals in swarms or groups accomplish various tasks without external or global control. How to establish self-organization for their collective systems is a promising research problem which is discussed in this task force.

 

The scope of our research topics covers multidisciplinary subjects: computer science and artificial intelligence (evolutionary computing, multi-agent systems, machine learning, and complex systems), electrical and mechanical engineering, robotics, cognitive science, and developmental and systems biology. In addition, this task force would like to provide a forum for discussions between academia and industries in the following research topics. 

 

Research topics explored in this task force include, but are not limited to:

  • Bio/Nature-inspired computing for self-organization in collective systems

  • Distributed task allocation in collective systems

  • Self-organization, self-reconfiguration, self-repairing, and self-assembly in modular robots, multi-agent pattern formation, and multi-agent flocking and consensus

  • Swarm intelligence, Genetic Approaches, and Cellular Approaches for self-organization and self-assembly

  • Morphogenesis in multi-agent systems

  • Co-evolution of neural controller and body development of collective systems

  • Cognitive network management and self-assembly of nanostructures

  • Smart materials, swarm robotics, reconfigurable modular robots, and traffic control systems

 

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