4.8 Article

Piezoelectric soft robot driven by mechanical energy

Journal

NANO RESEARCH
Volume 16, Issue 4, Pages 4970-4979

Publisher

TSINGHUA UNIV PRESS
DOI: 10.1007/s12274-022-5180-y

Keywords

triboelectric nanogenerator; piezoelectric soft robot; rapid actuation; agile trajectory manipulation; energy efficiency

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A high-efficiency soft robot system driven by a triboelectric nanogenerator is proposed, which can convert mechanical energy into electricity for self-powering. The robot demonstrates autonomous movement, obstacle avoidance, and real-time video streaming capabilities.
Power sources and energy-harvesting schemes are still grand challenges for soft robots. Notably, compared with other power sources, triboelectric nanogenerators (TENGs) have shown great potential because of their low manufacturing and fabrication costs, outstanding resilience, remarkable stability, and environmental friendliness. Herein, a triboelectric effect-driven piezoelectric soft robot (TEPSR) system is proposed, which integrates a rotary freestanding triboelectric nanogenerator (RF-TENG) to drive a soft robot comprising a piezoelectric unimorph and electrostatic footpads. Based on the natural triboelectrification, through converting mechanical energy into electricity, TENG provides a unique approach for actuation and manipulation of the soft robot. The perfect combination provides the most straightforward way for creating a self-powered system. Experimentally, under the power of RF-TENG, the soft robot reaches a maximum moving speed of 10 cm per second and a turning rate of 89.7 degrees per second, respectively. The actuation and manipulation demonstration are intuitively accomplished by maneuvering the robot around a maze with a 71 cm track within 28 s. For autonomous feedback controls, one practical application is carrying two infrared sensors on board to realize obstacle avoidance in an unstructured environment. Moreover, a micro-camera was equipped with the soft robot to provide real-time first-person video streaming, enhancing its detection capability.

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