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Human–Robot Interaction: Recent Advances in Theory, Methods and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 20 October 2026 | Viewed by 828

Special Issue Editor


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Guest Editor
Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Ashby Road, Loughborough LE11 3TU, UK
Interests: manufacturing automation; robotics‬‬‬; control theory

Special Issue Information

Dear Colleagues,

Human–robot interaction (HRI) has rapidly evolved into a central research area within robotics, bridging engineering, cognitive science, human factors, and artificial intelligence. As robots increasingly operate in unstructured, dynamic environments alongside humans, the demand for intuitive, robust, and context-aware interaction frameworks has grown significantly. This Applied Sciences Special Issue explores the latest developments in HRI, with particular attention given to both advanced control strategies and intelligent systems that enable more natural and effective collaboration between humans and robots.

Progress in robot control has been instrumental in pushing the boundaries of HRI. Recent innovations in adaptive and shared control architectures, physical human–robot interaction (pHRI), and compliant actuation have allowed robots to respond more precisely and safely to human input.

At the same time, advances in perception, sensor fusion, and real-time motion planning contribute to seamless and predictable cooperative behaviors, particularly in tasks requiring close physical collaboration.

Artificial intelligence continues to enhance these capabilities by enabling robots to learn from demonstration, adapt to individual users, and interpret high-level contextual information. Machine learning, vision-based perception, and natural language processing complement control systems by allowing robots to infer intentions, recognise actions, and communicate in ways that feel more natural to users. Nevertheless, successful HRI relies on the integration of these AI tools into reliable and responsive control frameworks that ensure safety, transparency, and trust.

This Special Issue welcomes contributions that explore

  • Novel robot control techniques for real-time and shared autonomy;
  • Human–robot collaboration models and task sharing paradigms;
  • Design and evaluation of intuitive human–robot interfaces;
  • Sensor fusion, distributed perception, and context-aware interaction;
  • Sensorimotor integration and multimodal feedback mechanisms;
  • AI-enhanced interaction strategies, including intention recognition and user modelling;
  • Experimental studies in industrial, assistive, social, and educational contexts;
  • Human factors, ergonomics, and ethical implications in HRI design.

By highlighting recent scientific and technological advances, this Special Issue aims to provide a platform for interdisciplinary research that addresses the challenges of building robotic systems capable of engaging with humans in effective, intelligent, and socially acceptable ways. We look forward to showcasing innovative contributions that drive forward the state of the art in human–robot interaction

Dr. Andrea Paoli
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • human–robot collaboration (HRC)
  • collaborative robotics (cobots)
  • robot control architectures
  • adaptive and shared autonomy
  • sensor-driven interaction
  • adaptive robotic behaviour
  • human-in-the-loop control
  • multimodal interfaces
  • intention recognition
  • safety and trust in robotics
  • human factors in robotics
  • ethics and responsible robotics
  • HRC in smart manufacturing and Industry 5.0
  • HRC in assistive and healthcare robotics
  • HRC in social and service robotics

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Published Papers (1 paper)

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Research

17 pages, 2659 KB  
Article
Estimation of Fingertip Contact Angle from Tactile Pressure Contours
by Qianqian Tian, Jixiao Liu, Funing Hou and Shijie Guo
Appl. Sci. 2026, 16(7), 3172; https://doi.org/10.3390/app16073172 - 25 Mar 2026
Viewed by 354
Abstract
Tactile sensing is an important perceptual modality that enables robots to understand human contact behaviors. Estimating the fingertip contact angle based on tactile pressure distribution provides a simplified representation of the finger’s contact configuration and supports tactile-based perception in human–robot interaction. However, the [...] Read more.
Tactile sensing is an important perceptual modality that enables robots to understand human contact behaviors. Estimating the fingertip contact angle based on tactile pressure distribution provides a simplified representation of the finger’s contact configuration and supports tactile-based perception in human–robot interaction. However, the relationship between tactile pressure distributions and fingertip contact configuration remains insufficiently understood. In this study, a simplified contact mechanics model was employed to investigate the relationship between tactile pressure characteristics and fingertip contact conditions. Theoretical analysis indicates that both the contact area and the contour dimensions of the pressure distribution are influenced by the contact angle and contact force, with varying sensitivities in different directions to these factors. Based on this theory, simplified finite element modeling of the fingertip and multi-subject experiments were conducted. The deformation behavior of the contact region under different contact angles and contact forces was analyzed. The experimental results were generally consistent with the theoretical analysis. Furthermore, contour descriptors were extracted from the tactile pressure distribution to establish a relationship model for estimating the fingertip contact angle, and the model’s accuracy was analyzed. The experimental results indicate that the extracted contour features exhibit systematic variations with contact angle, and the proposed method achieves a mean absolute error (MAE) of 2.73° and a root mean square error (RMSE) of 7.25°. These results demonstrate that tactile pressure contours provide an effective and computationally efficient cue for estimating fingertip contact configuration. This approach may help robots understand human behavior and has potential applications in human–robot interaction and robotic grasping. Full article
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