A Flexible Tactile Sensor for Robots Based on Electrical Impedance Tomography

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Cognitive Computation and Systems (ICCCS 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2029))

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Abstract

During social interactions, people can obtain a great deal of important information from their tactile senses to improve their relationship with their surroundings. The development of similar capabilities in robots will contribute to the success of intuitive human-robot interaction in the future. In this paper, a tactile sensing method based on the principle of electrical impedance tomography (EIT) is introduced, which with the help of EIT technology and combined with the flexible piezoresistive material Velostat, thin, lightweight, stretchable, and flexible skin can be designed for robots, and at the same time, information about the touch position, duration, and intensity can be acquired, and the image reconstruction is carried out using a dual finite element model, and the experimental results show that based on the flexible The experimental results show that the EIT tactile sensing technology based on the flexible material Velostat can be applied to robotic flexible skin applications.

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Acknowledgments

The work was partially supported by the Natural Science Foundation of Fujian Province of China (Grant No. 2021J01617) and the Program of National Natural Science Foundation of China (Grant Nos. 83321016, U21A20471).

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Correspondence to **aohu Yuan or Longlong Liao .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Duan, Z. et al. (2024). A Flexible Tactile Sensor for Robots Based on Electrical Impedance Tomography. In: Sun, F., Li, J. (eds) Cognitive Computation and Systems. ICCCS 2023. Communications in Computer and Information Science, vol 2029. Springer, Singapore. https://doi.org/10.1007/978-981-97-0885-7_11

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  • DOI: https://doi.org/10.1007/978-981-97-0885-7_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0884-0

  • Online ISBN: 978-981-97-0885-7

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