Expansion of Control Targets and Application Field for Network Intelligence System
We will expand the network intelligence system to control targets other than lunar and planetary exploration robots. For lunar and planetary exploration robots, we aim to robustly and continuously perform advanced tasks such as exploration by using AI to control multiple small robots of the same type. In particular, for the lower-level AI (swarm intelligence), we aim to stabilize the entire system by using a control method that forms a swarm without considering the location or control status of individual robots, which is caused by the low controllability and precision of small robots. We will apply this control method, which does not make the upper-level AI aware of individuals, not only to various robots but also to living organisms.
We will apply network intelligence systems to insects in particular. A key feature of the lower-layer AI is that it provides a control method that does not require the upper-layer AI to be aware of the individual. When this system is introduced into insects, its characteristics can be utilized to handle ambiguous data and perform robustly. Furthermore, we will consider collaboration schemes between this insect system and robot systems, and explore the possibility of developing applications, mainly on land, that are more closely related to people’s lives.
Researchers
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Hirotaka SATO
Professor, School of Mechanical and Aerospace Engineering, Nanyang Technological University