Yao Zhiyu, Wu Wenjie, Gao Fengxian, Gong Min, Zhang Liang, Wang Dongrui, Guo Baochun, Zhang Liqun, Lin Xiang
Lab of Polymer Additive Manufacturing, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China.
Institute of Emergent Elastomers, Guangzhou International Campus, South China University of Technology, Guangzhou, 511442, People's Republic of China.
Nanomicro Lett. 2025 Aug 20;18(1):37. doi: 10.1007/s40820-025-01872-4.
Since the first design of tactile sensors was proposed by Harmon in 1982, tactile sensors have evolved through four key phases: industrial applications (1980s, basic pressure detection), miniaturization via MEMS (1990s), flexible electronics (2010s, stretchable materials), and intelligent systems (2020s-present, AI-driven multimodal sensing). With the innovation of material, processing techniques, and multimodal fusion of stimuli, the application of tactile sensors has been continuously expanding to a diversity of areas, including but not limited to medical care, aerospace, sports and intelligent robots. Currently, researchers are dedicated to develop tactile sensors with emerging mechanisms and structures, pursuing high-sensitivity, high-resolution, and multimodal characteristics and further constructing tactile systems which imitate and approach the performance of human organs. However, challenges in the combination between the theoretical research and the practical applications are still significant. There is a lack of comprehensive understanding in the state of the art of such knowledge transferring from academic work to technical products. Scaled-up production of laboratory materials faces fatal challenges like high costs, small scale, and inconsistent quality. Ambient factors, such as temperature, humidity, and electromagnetic interference, also impair signal reliability. Moreover, tactile sensors must operate across a wide pressure range (0.1 kPa to several or even dozens of MPa) to meet diverse application needs. Meanwhile, the existing algorithms, data models and sensing systems commonly reveal insufficient precision as well as undesired robustness in data processing, and there is a realistic gap between the designed and the demanded system response speed. In this review, oriented by the design requirements of intelligent tactile sensing systems, we summarize the common sensing mechanisms, inspired structures, key performance, and optimizing strategies, followed by a brief overview of the recent advances in the perspectives of system integration and algorithm implementation, and the possible roadmap of future development of tactile sensors, providing a forward-looking as well as critical discussions in the future industrial applications of flexible tactile sensors.
自1982年哈蒙提出触觉传感器的首个设计以来,触觉传感器已历经四个关键阶段:工业应用(20世纪80年代,基本压力检测)、通过微机电系统实现小型化(20世纪90年代)、柔性电子(2010年代,可拉伸材料)以及智能系统(2020年代至今,人工智能驱动的多模态传感)。随着材料、加工技术的创新以及刺激的多模态融合,触觉传感器的应用不断扩展到包括但不限于医疗保健、航空航天、体育和智能机器人等在内的多个领域。目前,研究人员致力于开发具有新兴机制和结构的触觉传感器,追求高灵敏度、高分辨率和多模态特性,并进一步构建模仿和接近人体器官性能的触觉系统。然而,理论研究与实际应用相结合方面的挑战仍然巨大。对于从学术工作到技术产品的这种知识转移的现有技术水平缺乏全面了解。实验室材料的大规模生产面临高成本、小规模和质量不一致等致命挑战。温度、湿度和电磁干扰等环境因素也会损害信号可靠性。此外,触觉传感器必须在很宽的压力范围(0.1 kPa至几兆帕甚至几十兆帕)内工作,以满足不同的应用需求。同时,现有的算法、数据模型和传感系统在数据处理中通常显示出精度不足以及鲁棒性不理想的问题,并且设计的系统响应速度与所需的系统响应速度之间存在现实差距。在本综述中,以智能触觉传感系统的设计要求为导向,我们总结了常见的传感机制、启发结构、关键性能和优化策略,随后简要概述了系统集成和算法实现方面的最新进展,以及触觉传感器未来可能的发展路线图,为柔性触觉传感器未来的工业应用提供前瞻性和批判性的讨论。