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Sensor Fusion


A human being recognizes external environment by using many kinds of sensory information. By integrating these information and making up lack of information for each other, a more reliable and multilateral recognition can be achieved. The purpose of Sensor Fusion Project is to realize new sensing architecture by integrating multi-sensor information and to develop hierarchical and decentralized architecture for recognizing human beings further. As a result, more reliable and multilateral information can be extracted, which can realize high level recognition mechanism.


Research Topics

Dynamic Compensation

High-speed Bipedal Running Robot

Janken Robot

Baseball Robots

Robotic Systems

Applications of High-speed Multifingered Hand

Manipulation of Flexible Object

Elasto-plastic Deformation Control

Human-Robot Cooperation

High-Speed Handling Based on Vision, Proximity and Tactile

Intelligent Transportation Systems

Dynamic Sensor Network

Research in the past

Ishikawa Senoo Laboratory, Department of Information Physics and Computing, Department of Creative Informatics,
Graduate School of Information Science and Technology, University of Tokyo
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