Smart Robots for Industrial Inspection: Integrating Micro-Technologies and Intelligent Systems

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E:Engineering and Technology".

Deadline for manuscript submissions: 30 August 2026 | Viewed by 888

Special Issue Editors


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Guest Editor
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
Interests: dielectric elastomer actuators and artificial muscle; active multi-stable mechanisms and compliant robots; camouflage discoloration technology based on bionic photonic crystals
Special Issues, Collections and Topics in MDPI journals
Institute of Engineering and Medicine Interdisciplinary Studies and the State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
Interests: robots for stroke rehabilitation; brain–computer interface; haptic feedback
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
Interests: robot design; human-robot interface; intelligent measurement

Special Issue Information

Dear Colleagues,

Industrial inspection is increasingly relying on smart robotic systems to achieve high precision, access confined spaces, and operate in hazardous environments. A critical driver of this evolution is the integration of advanced micro-technologies, including micro-electromechanical systems (MEMS), micro-sensors, and integrated micro-optics. These micron-scale components empower robots with unparalleled sensing, actuation, and data processing capabilities, enabling them to detect defects, measure parameters, and monitor equipment conditions. They play a critical role in enhancing productivity, ensuring safety, and reducing operational costs by minimizing human involvement in hazardous or repetitive tasks.

Applications of micro–nano and soft industrial inspection robots span across industries such as manufacturing, oil and gas, energy, and infrastructure. For example, they can inspect pipelines for corrosion, examine machinery for wear and tear, or assess structural integrity in confined spaces. With capabilities like autonomous navigation, real-time data analysis from on-board micro-sensors, and remote operation, industrial inspection robots are revolutionizing maintenance practices and contributing to the development of smarter, more efficient industries.

As technology continues to evolve, these robots are becoming increasingly intelligent, collaborative, and adaptable, paving the way for fully automated industrial inspection solutions. Therefore, we invite submissions that explore the convergence of robotics, microtechnology, and artificial intelligence. This Issue aims to showcase how miniaturized smart systems are pushing the boundaries of what industrial inspection robots can achieve, leading to safer, more efficient, and more intelligent operations.

Topics of interest include, but are not limited to, the following:

  • Microscale and soft robots.
  • Navigation and positioning.
  • Micro- and nano-sensor integration and data fusion.
  • AI and machine learning for robots.
  • Robotic systems for complex environments.
  • Case studies and real-world implementations.

Prof. Dr. Bo Li
Dr. Min Li
Prof. Dr. Xiaoling Li
Guest Editors

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Keywords

  • soft robot
  • micro robots
  • industrial robot
  • control strategy
  • measurement and inspection
  • intelligent operation and maintenance
  • advanced sensors and micro-sensors integration

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Published Papers (1 paper)

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Research

17 pages, 2354 KB  
Article
A Light-Driven Self-Spinning and Translation Disc Exploiting Photothermal Liquid Crystal Elastomers
by Cong Li, Leyi Xu, Yuntong Dai and Yu Dai
Micromachines 2026, 17(3), 284; https://doi.org/10.3390/mi17030284 - 25 Feb 2026
Cited by 5 | Viewed by 582
Abstract
Self-sustained oscillatory systems enable autonomous motion through continuous interaction with ambient energy sources, positioning them as promising candidates for soft robotic actuation, energy conversion, and biomedical applications. However, their utility is often limited by inherent vibrations and frictional losses, which can lead to [...] Read more.
Self-sustained oscillatory systems enable autonomous motion through continuous interaction with ambient energy sources, positioning them as promising candidates for soft robotic actuation, energy conversion, and biomedical applications. However, their utility is often limited by inherent vibrations and frictional losses, which can lead to impaired efficiency and generate noise. To overcome these limitations, a continuously rotating disc mechanism is proposed, which exploits the photothermal response of liquid crystal elastomers (LCEs) under uniform illumination. The resulting temperature field within the material is obtained via photothermal modeling of the LCE. The rotational actuation torque is generated through mass displacement resulting from light-induced LCE contraction. Based on the above conditions, we establish the equilibrium conditions and critical thresholds for continuous motion and reveal a synergy between the thermal field and torque. Through the interplay of the temperature field and the actuating rotating moment, the system ultimately attains steady self-rotation. Therefore, the absorbed energy offsets damping losses. Numerical simulations reveal that the steady-state self-spinning and translational velocity are influenced by multiple parameters including incident heat flux, gravitational field strength, material contraction coefficient, LCE element dimensions, illumination geometry, and resistive torque. The proposed LCE disc configuration exhibits exceptional operational stability and minimal damping, which has potential for implementation in advanced soft robotic systems and mechanical energy conversion applications. Full article
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