[ Professor ] Akio Ishiguro
Autonomous Decentralized Control Systems Associate
[ Professor ] Takeshi Kano
Real World Mathematical Modeling Assistant
[ Professor ] Akira Fukuhara
Our laboratory aims to understand essential mechanisms underlying various natural and social systems from the viewpoint of autonomous decentralized control,* and to establish design principles of artificial agents.
* Autonomous decentralized control: Control scheme in which non-trivial macroscopic functionalities emerge from interactions among individual components.
Real-World Computing (Prof. Ishiguro)
Living organisms exhibit surprisingly adaptive and versatile behaviors in real time under unpredictable and unstructured real world constraints. Clarifying these remarkable abilities enable us to understand life-like complex adaptive systems as well as to construct truly intelligent artificial systems. We study the design principles of autonomous decentralized systems that exhibit life-like resilient behaviors from the viewpoints of robotics, biology, mathematics, nonlinear science, and physics.
- Control of soft-bodied robots with large degrees of bodily freedom
- Optimization algorithm and its application to VLSI design methodology
- Dynamical system approach to understand versatility behavioral and its application to robotics.
Real-World Mathematical Modeling (Assoc. Prof. Kano)
Our research group aims to understand mechanisms underlying collective behavior in multi-body systems such as traffic flow and flocking of animals and to develop control schemes for such systems. In multi-body systems, non-trivial collective behaviors emerge from local interaction among individuals. We seek for the core principle underlying collective behaviors by constructing a simple mathematical model, and then develop “reasonable” control schemes on this basis.
- Study on autonomous decentralized control of traffic systems
- Study on swarm formation mechanism and its application to swarm robotic systems