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Development of an optical fiber based tactile sensor system for applications in mechatronics

Grant number: 14/25080-0
Support type:Regular Research Grants
Duration: June 01, 2015 - May 31, 2017
Field of knowledge:Engineering - Mechanical Engineering
Principal Investigator:Eric Fujiwara
Grantee:Eric Fujiwara
Home Institution: Faculdade de Engenharia Mecânica (FEM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Assoc. researchers:Carlos Kenichi Suzuki ; Delson Torikai ; Niederauer Mastelari

Abstract

Tactile sensors are required for the implementation of advanced mechatronic systems, such as in robotics, virtual reality or medical applications, allowing point or distributed measurements by the physical contact between sensor and object. Even thought several technologies have been proposed (based on resistive, capacitive, optical, and magnetic principles), such devices present limitations in terms of performance, cost, and robustness. Alternatively, optical fiber sensors are considered promising technologies, presenting high sensitivity, compact size, and distributed sensing capability. In this context, present Research Project proposes the development of fiber tactile sensors based in 3 measurement principles: intensity, wavelength and specklegram analysis. The transducers will be integrated to optoelectronic signal interrogation systems, and the point or distributed sensors will be characterized according to their static and dynamic responses. After defining the calibration curves, the information acquired by the sensors will be processed by artificial neural networks, and then displayed by a graphical user interface. In addition, the tactile devices will be eventually integrated to glove-based sensors, aiming applications in haptics and rehabilitation systems. The project will provide a high sensitive, robust and low cost sensing solution of relevance for the photonics, robotics and automation industries in Brazil, and also academic results with notability in terms of originality and interdisciplinarity. (AU)

Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FUJIWARA, ERIC; SUZUKI, CARLOS KENICHI. Optical Fiber Force Myography Sensor for Identification of Hand Postures. JOURNAL OF SENSORS, 2018. Web of Science Citations: 1.
FUJIWARA, ERIC; WU, YU TZU; MARQUES DOS SANTOS, MURILO FERREIRA; SCHENKEL, EGONT ALEXANDRE; SUZUKI, CARLOS KENICHI. Development of a tactile sensor based on optical fiber specklegram analysis and sensor data fusion technique. SENSORS AND ACTUATORS A-PHYSICAL, v. 263, p. 677-686, AUG 15 2017. Web of Science Citations: 10.
FUJIWARA, ERIC; MARQUES DOS SANTOS, MURILO FERREIRA; SUZUKI, CARLOS KENICHI. Optical fiber specklegram sensor analysis by speckle pattern division. APPLIED OPTICS, v. 56, n. 6, p. 1585-1590, FEB 20 2017. Web of Science Citations: 22.
FUJIWARA, ERIC; WU, YU TZU; SANTOS, MURILO F. M.; SCHENKEL, EGONT A.; SUZUKI, CARLOS K. Optical Fiber Specklegram Sensor for Measurement of Force Myography Signals. IEEE SENSORS JOURNAL, v. 17, n. 4, p. 951-958, FEB 15 2017. Web of Science Citations: 7.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.
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