Triboelectric nanogenerators (TENGs), offering self-powered actuation, grasping, and sensing capabilities without the need for an external power source, have the potential to revolutionize the field of self-powered robotic systems. TENGs can directly convert mechanical energy into electrical energy that can be used to power small electronics. This review explores the huge potential of TENGs' mechanisms and modes for various robotics actuation and sensing applications. Firstly, the improvements in efficiency and reliability of TENG-based actuation systems by self-powered actuation systems are discussed. Following that, TENG-based grippers having controlled gripping power and a distinctive ability to self-calibrate for precise and sharp object handling are enlightened. Additionally, the design and development of TENG-based pressure sensors incorporated into robotic grippers are further discussed. Self-powered multimode-sensing robotic devices, which can sense many stimuli such as temperature, applied force and its direction, and humidity, are briefly discussed. Integrating self-powered robotic systems with human-machine-interaction (HMI) technologies enables more sophisticated and intelligent robotic contact with its external environment, is also highlighted. Finally, we addressed the challenges and future improvements in this emerging field. In conclusion, TENGs can open up a wide range of opportunities for self-powered actuation, gripping, and sensing with exceptional efficiency and precision while being compatible with both soft and rigid robotic systems.


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    Title :

    Revolutionizing self-powered robotic systems with triboelectric nanogenerators



    Publication date :

    2023-10-01


    Remarks:

    Hajra , S , Panda , S , Khanberh , H , Vivekananthan , V , Chamanehpour , E , Mishra , Y K & Kim , H J 2023 , ' Revolutionizing self-powered robotic systems with triboelectric nanogenerators ' , Nano Energy , vol. 115 , 108729 . https://doi.org/10.1016/j.nanoen.2023.108729



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




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