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Sensing Technologies for Intelligent Robotics and Human–Robot Interaction

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".

Deadline for manuscript submissions: 30 October 2026 | Viewed by 1037

Special Issue Editor


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Guest Editor
The IBISC Laboratory, UEVE, University of Paris-Saclay, 91000 Evry, France
Interests: human-robot interaction; sensor fusions; deep learning and bilateral teleoperation

Special Issue Information

Dear Colleagues,

Intelligent robotics and human–robot interaction (HRI) are rapidly evolving fields that rely heavily on advanced sensing technologies to perceive, interpret, and adapt to dynamic environments. This Special Issue aims to explore recent advancements in sensor design, sensor fusion, signal processing, and AI-driven perception systems that enable robots to interact intelligently with humans and their surroundings. We welcome original research and review articles that address challenges in real-time data acquisition, multi-modal sensing integration, wearable and bio-inspired sensors, safety in HRI, and context-aware robotic behaviors. Contributions that bridge the gap between hardware innovations and software intelligence for next-generation robotics are particularly encouraged.

Prof. Dr. Hang Su
Guest Editor

Manuscript Submission Information

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Keywords

  • human-robot interaction (HRI)
  • sensor fusion
  • robotics

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Published Papers (1 paper)

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Research

18 pages, 5990 KB  
Article
Research on Gait Planning for Wind Turbine Blade Climbing Robots Based on Variable-Cell Mechanisms
by Hao Lu, Guanyu Wang, Wei Zhang, Mingyang Shao and Xiaohua Shi
Sensors 2026, 26(2), 547; https://doi.org/10.3390/s26020547 - 13 Jan 2026
Viewed by 650
Abstract
To address the complex surface curvature, massive dimensions, and variable pitch angles of wind turbine blades, this paper proposes a climbing robot design based on a variable-cell mechanism. By dynamically adjusting the support span and body posture, the robot adapts to the geometric [...] Read more.
To address the complex surface curvature, massive dimensions, and variable pitch angles of wind turbine blades, this paper proposes a climbing robot design based on a variable-cell mechanism. By dynamically adjusting the support span and body posture, the robot adapts to the geometric features of different blade regions, enabling stable and efficient non-destructive inspection operations. Two reconfigurable configurations—a planar quadrilateral and a regular hexagon—are proposed based on the geometric characteristics of different blade regions. The configuration switching conditions and multi-leg cooperative control mechanisms are investigated. Through static stability margin analysis, the stable gait space and maximum stride length for each configuration are determined, optimizing the robot’s motion performance on surfaces with varying curvature. Simulation and experimental results demonstrate that the proposed multi-configuration gait planning strategy exhibits excellent adaptability and climbing stability across segments of varying curvature. This provides a theoretical foundation and methodological support for the engineering application of robots in wind turbine blade maintenance. Full article
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