Controlling evolvable network intelligence through the analysis of swarm-collected information
We will pursue the development of network intelligence capable of managing the measurement and activity data acquired by individual robots and swarms, and understanding the status of robots, environments and other factors by analyzing that data, thereby building analysis and database functionality.
When unknown areas are explored, the positional data on each individual robot and the swarm contains errors, making the information ambiguous. To address this, we will design spatial information management methods that handle interconnection information between observation sites geometrically rather than using coordinate information, developing intelligence that can be utilized for recognizing anomalies and danger based on swarm behavior and other factors.
Researchers
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Mikita MIYAGUCHI
Senior Researcher, Research & Development Institute, Takenaka Corporation
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Takeshi TAKAI
Senior Researcher, Research & Development Institute, Takenaka Corporation
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Toru INABA
Chief Researcher, Research & Development Institute, Takenaka Corporation
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Yuuki IDOSAKO
Chief Researcher, Research & Development Institute, Takenaka Corporation
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Shingo KITANO
Senior Researcher, Research & Development Institute, Takenaka Corporation
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Takuro OKADA
Chief Researcher, Research & Development Institute, Takenaka Corporation
