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Researcher's Profile

Project Lecturer

Noriyasu ANDO

Intelligent Cooperative Systems

E-mail: ando.brain.imi.i.u-tokyo.ac.jp

Tel: 03-5452-5196

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Biography

2004.03
Ph. D, Graduate school of Biological Sciences, University of Tsukuba
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2004.04
JSPS research fellow, Graduate School of Information Science and Technology, The University of Tokyo (UTokyo)
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2005.04
Postdoctoral fellow, Graduate School of Information Science and Technology, Utokyo
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2006.04
Postdoctoral fellow, RCAST, UTokyo
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2006.05
Project research associate, RCAST, UTokyo
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2007.04
Project research associate, RCAST, UTokyo
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2007.10
Research associate, RCAST, UTokyo
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2016.05
Project lecturer, RCAST, UTokyo

Research Interests

Animals have a capability to behave adaptively in real environment. Our research goal is to understand mechanisms behind their adaptive motions and behaviors, which is an important subject in neuroscience and will also contribute to the development of autonomous robots behaving in the real environment. The mechanisms that we are focusing on are neuromuscular systems, biomechanical systems, and interactions between animals and the environment. Using insects as model animals, we are studying on insect locomotion, behaviors, and decision making behind behavior selection.
1) Neuromuscular and biomechanical control of flapping flight
Insects perform sophisticated flight maneuvers, and their control designs have a tolerance to perturbations such as wing damage or turbulence. The coordinated wing movement is necessary for flight control, and is generated by an interaction between the active control by neuromuscular systems and the passive properties of body mechanics. Therefore, we are focusing on the mechanical properties of musculoskeletal systems as well as the physiological properties of neuromuscular systems.
2) Behavioral strategies for odor source localization
Odor source localization is a challenging task for autonomous robots, but is a fundamental task for organisms to survive. We are studying on insect behavioral strategies for successful and efficient localization to an odor source, employing an insect-driven mobile robot which is a useful platform acts as a future insect-mimetic robot.
3) Behavior selection in a dynamic environment
The natural environment is a complicated dynamic environment where static and moving objects are mixed. The adaptation to such environment is an essential requirement for both insects and autonomous robots. In this study, we are focusing on how insects overcome the complexity of the environment and decide appropriate actions. Using a virtual reality theater, we are investigating insect behavioral responses to various combinations of static and/or dynamic objects.

Figure2
Measurement of body deformation during hawkmoth flight
Figure4
An odor searching mobile robot driven by a silkmoth
Figure6
A cricket walking in a virtual environment

Keywords

neuroethology, insect, flight, robot, olfaction

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