Abstract
In the field of human-robot interaction, there is a growing demand for high-sensitivity proximity and pressure perception in sensor design. However, current sensing solutions often rely on the combination of several sensing principles, which presents challenges in signal acquisition, flexibility, and array integration. To overcome these challenges, we propose a flexible array of electronic skins, inspired by the electric field sensing mechanism in electric fish, capable of proximity and pressure sensing. The electronic skin consists of several key components, including an elastic layer, emitting electrodes, receiving electrodes, and a dielectric layer. By exploiting this simple yet effective our electronic skin is capable of generating electric fields through the emitting electrodes and detecting electric field disturbances through the receiving electrodes. This design enables simultaneous bimodal perception of proximity and pressure, allowing for a comprehensive understanding of the environment. One of the main advantages of our approach is its simplicity. By leveraging the electric fields as the sensing modality, we eliminate the need for complex combinations of multiple sensors. This not only simplifies the overall system design, but also reduces manufacturing cost and enhances scalability. Additionally, the use of electric fields enables real-time and accurate detection of both object proximity and applied pressure on the robot, leading to improved environmental awareness. To demonstrate the feasibility and effectiveness of our electronic skin, we conducted experiments on a robotic arm. The results of these experiments demonstrate the successful implementation of basic human-robot interactions using our proposed technique. This validation further emphasizes the potential and practicality of our approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
32(12), 2289–2305 (2020)
Jin, J., Wang, S., Wang, Y., et al.: Progress on flexible tactile sensors in robotic applications on objects properties recognition, manipulation and human-machine interactions. Soft Sci. (2023)
Navarro, S.E., Muhlbacher-Karrer, S., Alagi, H., et al.: Proximity perception in human-centered robotics: a survey on sensing systems and applications. IEEE Trans. Robot. 38(3), 1599–1620 (2022)
Li, G., Liu, S., Zhu, R., et al.: Multifunctional electronic skins enable robots to safely and dexterously interact with human. Adv. Sci. 9(11), 2104969 (2022)
Ge, C., Wang, Z., Zhang, J., et al.: A capacitive and piezoresistive hybrid sensor for long-distance proximity and wide-range force detection in human–robot collabo-ration. Adv. Intell. Syst. 2100213 (2022)
Liu, W., Duo, Y., Liu, J., et al.: Touchless interactive teaching of soft robots through flexible bimodal sensory interfaces. Nat. Commun. 13(1), 5030 (2022)
Yu, Y., Li, J., Solomon, S.A., et al.: All-printed soft human-machine interface for robotic physi-cochemical sensing. Sci. Robot. 7(67), 0495 (2022)
Guo, Z.H., Wang, H.L., Shao, J., et al.: Bioinspired soft electroreceptors for artificial precontact somatosensation. Sci. Adv. 8(21), 5201 (2022)
Gottwald, M., Herzog, H., Von Der Emde, G., et al.: A bio-inspired electric camera for short-range object inspection in murky waters. Bioinspir. Biomim. 14(3), 035002 (2019)
Yoo, Y., Choi, B.D.: Readout circuits for capacitive sensors. Micromachines 12(8), 960 (2021)
Von Der Emde, G., Bousack, H., Huck, C., et al.: Electric fish as natural models for technical sensor systems. Bioeng. Bioinspired Syst. 73650B, 102–112 (2009)
Dai, Y., Gao, S.: A flexible multi-functional smart skin for force, touch position, proximity, and humidity sensing for humanoid robots. IEEE Sens. 21(23), 26355–26363 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, J., Yang, X., Xu, C., Gai, Y., Jiang, Y. (2023). Electric Fish-Inspired Proximity and Pressure Sensing Electronic Skin. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14271. Springer, Singapore. https://doi.org/10.1007/978-981-99-6495-6_7
Download citation
DOI: https://doi.org/10.1007/978-981-99-6495-6_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-6494-9
Online ISBN: 978-981-99-6495-6
eBook Packages: Computer ScienceComputer Science (R0)