Laboratory for Brainware Systems

Real-World Computing

Ishiguro Group

Japanese / English

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D.Owaki  T.Kano  K.Sakamoto

Akio Ishiguro,Professor
Dai Owaki,Assistant Professor
Takeshi Kano,Assistant Professor
Kazuhiro Sakamoto,Assistant Professor

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.

Research topics:
  • Control of soft-bodied robots with large degrees of bodily freedom
  • Autonomous decentralized control for various types of locomotion, e.g., slithering, swimming, flying, walking, running.
  • Dynamical system approach to understand versatility behavioral and its application to robotics.
True slime mold as a good living organism for studying autonomous decentralized control Soft-bodied amoeboid robot driven by a fully decentralized control scheme extracted from true slime mold. Ophiuroid robot that enables omnidirectional locomotion
Quadruped robot driven by a fully decentralized control Autonomous decentralized control of a snake-like robot that exhibits highly adaptive and resilient properties.