Flexible nanogenerators for intelligent robotics: design, manufacturing, and applications

Abstract The embodied artificial intelligence (EAI) is driving a significant transformation in robotics, enhancing their autonomy, efficiency and evolution ability. In this rapidly evolving technological landscape, robots need numerous sensors to realize high levels of perception, precision, safety, adaptability, and intelligence. Triboelectric and piezoelectric sensors address these needs by providing high sensitivity, flexibility, and the capability of self-powered sensing, leveraging the revolutionary nature of nanogenerators to convert mechanical energy into electrical energy on basis of Maxwell’s displacement current. These sensors surpass externally powered passive sensors by offering continuous operation, reduced maintenance, and the capability to function in remote or harsh environments. The integration of EAI with advanced nanogenerators sensors could position robotics to perform autonomously, efficiently, and safely, paving the way for innovative applications in various domains such as industrial automation, environmental monitoring, healthcare, and smart homes. In this paper, the fundamental theories, design, manufacturing, and applications of nanogenerators are comprehensively reviewed as a foundation of the advanced sensors for intelligent robotics in the new era, with three major application fields: sensing (including human–robot interaction, exteroceptive sensing and proprioceptive sensing), computing and actuating. Perspectives are addressed for nanogenerators systems in future development.

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Publication Details

Journal
International Journal of Extreme Manufacturing
Published
2024-11-21
DOI
https://doi.org/10.1088/2631-7990/ad94b8
Citations
18
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
3.32

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article

Flexible nanogenerators for intelligent robotics: design, manufacturing, and applications

Chuqiao Lyu, Changsheng Wu, Mingrui Shu, Hongfa Zhao et al.
18 citations
International Journal of Extreme Manufacturing
Advanced Sensor and Energy Harvesting Materials
3.32
article

Flexible nanogenerators for intelligent robotics: design, manufacturing, and applications

Chuqiao Lyu, Changsheng Wu, Mingrui Shu, Hongfa Zhao, Wenbo Ding, Zihan Wang, L. Ruan, Bulathsinghala Rameesh Lakshan, Dharmasena Ishara
article en
18 citations

Abstract

Abstract The embodied artificial intelligence (EAI) is driving a significant transformation in robotics, enhancing their autonomy, efficiency and evolution ability. In this rapidly evolving technological landscape, robots need numerous sensors to realize high levels of perception, precision, safety, adaptability, and intelligence. Triboelectric and piezoelectric sensors address these needs by providing high sensitivity, flexibility, and the capability of self-powered sensing, leveraging the revolutionary nature of nanogenerators to convert mechanical energy into electrical energy on basis of Maxwell’s displacement current. These sensors surpass externally powered passive sensors by offering continuous operation, reduced maintenance, and the capability to function in remote or harsh environments. The integration of EAI with advanced nanogenerators sensors could position robotics to perform autonomously, efficiently, and safely, paving the way for innovative applications in various domains such as industrial automation, environmental monitoring, healthcare, and smart homes. In this paper, the fundamental theories, design, manufacturing, and applications of nanogenerators are comprehensively reviewed as a foundation of the advanced sensors for intelligent robotics in the new era, with three major application fields: sensing (including human–robot interaction, exteroceptive sensing and proprioceptive sensing), computing and actuating. Perspectives are addressed for nanogenerators systems in future development.

International Journal of Extreme ManufacturingVol. 7(2)
Loughborough University (GB), National University of Singapore (SG), Open Source Drug Discovery (IN), Tsinghua–Berkeley Shenzhen Institute (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Advanced Sensor and Energy Harvesting Materials
3.32
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