4.8 Article

TENG-Bot: Triboelectric nanogenerator powered soft robot made of uni-directional dielectric elastomer

期刊

NANO ENERGY
卷 85, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.nanoen.2021.106012

关键词

Conjunction system; Dielectric elastomer; Energy harvesting; Freestanding TENG; Soft robot

资金

  1. National Key Research and Development Program of China [2019YFB1311600]
  2. Natural Science Foundation of China [11902248, 52075411, 91748124]
  3. Shaanxi Key Research and Development Program [2020ZDLGY06-11]
  4. State Key Laboratory for Strength and Vibration of Mechanical Structures [SV2018-KF-08]

向作者/读者索取更多资源

A soft robot driven by unidirectional DEA is developed, achieving efficient energy conversion and high crawling velocity. A TENG-Bot system is then established, utilizing a standalone TENG to directly power the robot due to its simple structure and high efficiency. Experiments show a direct control correspondence between the sliding speed of the TENG and the velocity of the soft robot, offering a route for self-powered soft robots through environment motion harvesting.
A soft robot employing dielectric elastomer actuators (DEAs) exhibits a flexible body and dexterity locomotion in unstructured environments. However, conventional power supplies required by DEAs pose an obstacle for smallscale robotic system. Triboelectric nanogenerator (TENG) is capable of harvesting kinetic energy from the environment to generate matching power for DEA. Yet, a TENG-driven, DEA-based robot is hindered due to the nonlinear and insufficient mechanical transmission in robotic motion. In this paper, we developed an unidirectional DEA-driven soft robot. It aligns the direction of DEA in extension with the robot motion to achieve high efficient energy conversion, yielding a maximum crawling velocity of 110 mm (2.2 body-length) /sec and a payload capacity of 40 g. Then a TENG-Bot, that is a TENG-soft robot conjunction system, is built using a freestanding TENG. With the benefit from the simple structure, and the high efficiency of the robot, the electrical energy generated by the TENG can directly drive the robot without additional control panels. Experiments demonstrate a linear relationship between the sliding speed of the TENG and the velocity of the soft robot, a direct control correspondence. The TENG-Bot offers a route for developing self-powered soft robots by harvesting the environment motion.

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