A Self‐Powered Optical Fiber Tactile Sensor With Mechanoluminescent Transduction for Robotic Grasping and Hardness Detection

Abstract Tactile sensing is crucial for machines to interact intelligently with the physical world. Integrating mechanoluminescent (ML) materials with optical fibers presents a promising avenue for developing self‐powered tactile sensors. However, existing ML‐based optical fiber sensors suffer from inefficient signal collection or require complex demodulation strategies, thereby limiting their sensitivity and hindering compact system integration. Here, a self‐powered optical fiber tactile sensor (SOFTS) based on ML composites directly coupled to the core of a standard multimode fiber is reported. This architecture enables efficient light collection, simplifies signal demodulation, and reduces system complexity and size. The resulting sensor exhibits stable and robust ML emission in response to mechanical stimulation, without the need for external excitation. Integration of SOFTS with a robotic manipulator demonstrates real‐time tactile feedback for object grasping and hardness detection, showcasing its potential for robotics and human‐machine interfaces. This work establishes a simple, scalable, and robust platform for advancing ML‐based self‐powered optical tactile sensing technologies.

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Publication Details

Journal
Laser & Photonics Review
Published
2025-09-30
DOI
https://doi.org/10.1002/lpor.202501845
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

A Self‐Powered Optical Fiber Tactile Sensor With Mechanoluminescent Transduction for Robotic Grasping and Hardness Detection

Y. B. Zhao, Bo Yin, Juncheng Zhang, Zhiqiang Wei et al.
Laser & Photonics Review
Advanced Sensor and Energy Harvesting Materials
article

A Self‐Powered Optical Fiber Tactile Sensor With Mechanoluminescent Transduction for Robotic Grasping and Hardness Detection

Y. B. Zhao, Bo Yin, Juncheng Zhang, Zhiqiang Wei, Jing Wang, Shanshan Wang, Jianqing Chang, Yunwen Luo, Jianjun Liu
article en

Abstract

Abstract Tactile sensing is crucial for machines to interact intelligently with the physical world. Integrating mechanoluminescent (ML) materials with optical fibers presents a promising avenue for developing self‐powered tactile sensors. However, existing ML‐based optical fiber sensors suffer from inefficient signal collection or require complex demodulation strategies, thereby limiting their sensitivity and hindering compact system integration. Here, a self‐powered optical fiber tactile sensor (SOFTS) based on ML composites directly coupled to the core of a standard multimode fiber is reported. This architecture enables efficient light collection, simplifies signal demodulation, and reduces system complexity and size. The resulting sensor exhibits stable and robust ML emission in response to mechanical stimulation, without the need for external excitation. Integration of SOFTS with a robotic manipulator demonstrates real‐time tactile feedback for object grasping and hardness detection, showcasing its potential for robotics and human‐machine interfaces. This work establishes a simple, scalable, and robust platform for advancing ML‐based self‐powered optical tactile sensing technologies.

Laser & Photonics ReviewVol. 20(3)
Ocean University of China (CN)
Openalex Percentile: Top 74%
Advanced Sensor and Energy Harvesting Materials
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A Self‐Powered Optical Fiber Tactile Sensor With Mechanoluminescent Transduction for Robotic Grasping and Hardness Detection — Y. B. Zhao, Bo Yin, et al. · Laser & Photonics Review (2025) | TGRS Research Map | TGRS