Real-World Computing (Prof. Ishiguro)
Living organisms exhibit surprisingly adaptive and versatile behaviors in real time under unpredictable and unstructured real world constraints. Such behaviors are achieved via spatiotemporal coordination of a significantly large number of bodily degrees of freedom. Clarifying these remarkable abilities enable us to understand life-like complex adaptive systems as well as to construct truly intelligent artificial systems. A prominent concept for addressing this issue is “autonomous decentralized control“, in which non-trivial macroscopic functionalities are emerged via spatiotemporal coordination among vast amount of autonomous components that cannot be explained solely in terms of individual functionality. 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