2011 IEEE International Conference on Robotics and Biomimetics 2011
DOI: 10.1109/robio.2011.6181454
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Development of Bio-machine based on the plant response to external stimuli

Abstract: In the area of biorobotics, intense research work is being done based on plant intelligence. Any living cell continuously receives information from the environment. In this paper, research is conducted on the plant named descoingsii x haworthioides (Pepe) obtaining the action potential signals and its responses to stimulations of different light modes. The plant electrical signal is the reaction of plant's stimulation owing to various environmental conditions. Action potentials are responsible for signaling be… Show more

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Cited by 6 publications
(4 citation statements)
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References 30 publications
(17 reference statements)
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“…[23] The IFFT (Inverse Fast Fourier transform) was used to convert the frequency domain signals into voltage signal. [24] Yang et al established the action potential model of the flytrap by mechanical stimulation.…”
Section: Analysis Methods Typical Work Referencementioning
confidence: 99%
“…[23] The IFFT (Inverse Fast Fourier transform) was used to convert the frequency domain signals into voltage signal. [24] Yang et al established the action potential model of the flytrap by mechanical stimulation.…”
Section: Analysis Methods Typical Work Referencementioning
confidence: 99%
“…A set of unsuccessful tests is briefly reported here. The experimental setup presented in [32] was attempted under different light conditions, with the difference that the used plant was placed inside a Faraday cage. No variation of reported output frequency was found.…”
Section: A Unsuccessful Experimentationmentioning
confidence: 99%
“…No variation of reported output frequency was found. It is therefore plausible that the results reported in [32] are the result of environmental/electromagnetic noise (as the plant was not shielded).…”
Section: A Unsuccessful Experimentationmentioning
confidence: 99%
“…A detailed analysis of plant electrophysiological systems is documented in [12]. Although there were a few attempts to understand the nature of such electrical signals using signal processing techniques [13][14][15][16][17][18][19][20], rigorous models correlating the characteristics of such signals with the externally applied stimuli are yet to be developed.…”
Section: Introductionmentioning
confidence: 99%