Yusuke Ikemoto
Meijo University
54 Papers
205 Citations
Yusuke Ikemoto is an academic researcher from Meijo University. The author has contributed to research in topics: Robot & Computer science. The author has an hindex of 10, co-authored 49 publications. Previous affiliations of Yusuke Ikemoto include Nagoya University & University of Toyama.
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Papers
Bio-inspired Tensegrity Fish Robot
Jun Shintake,Davide Zappetti,Timothee Peter,Yusuke Ikemoto,Dario Floreano +4 more
- 29 May 2020
TL;DR: The results show that the body stiffness of the robot can be designed to approximate that of the real fish and modulate its performance characteristics, suggesting that the presented method is an effective engineering approach to realize the swimming characteristics of real fish.
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Thermodynamic implications of high Q 10 of thermo-TRP channels in living cells.
TL;DR: Thermodynamic issues in thermo-TRPs, where large values of enthalpy and entropy seem to be a match for the values of the unfolding process of globular proteins, are outlined.
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Force sensor system for structural health monitoring using passive RFID tags for structural health monitoring
Yusuke Ikemoto,Shingo Suzuki,H. Okamoto,Hiroki Murakami,Xin Lin,Hideo Itoh,Hajime Asama +6 more
- 18 Nov 2008
TL;DR: In this paper, a contactless loading sensor system that can measure the internal loading of an object structure through several covering materials for the purpose of structural health monitoring is developed, which uses little electric power because the power supply with RFID is generally very low.
Force sensor system for structural health monitoring using passive RFID tags
Yusuke Ikemoto,Shingo Suzuki,Hiroyuki Okamoto,Hiroki Murakami,Hajime Asama,Soichiro Morishita,Taketoshi Mishima,Xin Lin,Hideo Itoh +8 more
TL;DR: In this article, a contactless and batteryless loading sensor system that can measure the internal loading of an object structure through several covering materials for structural health monitoring is described. But it has been difficult to realize sensing by RFID because of the low power supply.
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Distributed odor source localization in dynamic environment
Wisnu Jatmiko,Yusuke Ikemoto,Takayuki Matsuno,Toshio Fukuda,Kosuke Sekiyama +4 more
- 31 Oct 2005
TL;DR: This paper adopts two types of PSO modification concepts to develop a new algorithm in order to control autonomous vehicles, and develops odor localization algorithm, and simulations show that the new approach can solve such a kind of dynamic environment problem.
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