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Published on 26 November 2024
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Hu,Y. (2024). Design Scheme of a Flexible Robot Inspired by an Elephant Trunk with Integrated Infrared and Tactile Sensors. Applied and Computational Engineering,106,81-86.
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Design Scheme of a Flexible Robot Inspired by an Elephant Trunk with Integrated Infrared and Tactile Sensors

Yiwei Hu *,1,
  • 1 Zhejiang University of Science and Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/106/20241213

Abstract

In current robotics research, rigid robots have been widely used on a large scale. However, in some specific working environment situations, the performance of rigid robots is relatively problematic, such as internal maintenance work on large equipment. Therefore, in this context, inspired by the bionic elephant trunk robot, the author proposes a soft robot design scheme. Through modeling, deconstruction and extensive literature research, the existing soft robot structure is optimized. The optimization method mainly combines tactile sensors with infrared visual sensors, and uses the elephant trunk robot to achieve detection and positioning actions in low-light environments. The entire design scheme is divided into three parts, inspired by the flexible robot with the trunk of an elephant, piezoelectric tactile sensors and infrared sensors. The scheme has a high degree of sensor integration, which can realize the linkage and continuous motion of the robot, thus helping the robot to operate in extreme environments such as low light, darkness, and narrow spaces.

Keywords

Flexible Robot, Piezoelectric Tactile Sensor, Infrared sensors, elephant trunk robot, Variable Stiffness.

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Cite this article

Hu,Y. (2024). Design Scheme of a Flexible Robot Inspired by an Elephant Trunk with Integrated Infrared and Tactile Sensors. Applied and Computational Engineering,106,81-86.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation

Conference website: https://2024.confmla.org/
ISBN:978-1-83558-707-2(Print) / 978-1-83558-708-9(Online)
Conference date: 21 November 2024
Editor:Mustafa ISTANBULLU
Series: Applied and Computational Engineering
Volume number: Vol.106
ISSN:2755-2721(Print) / 2755-273X(Online)

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