EDITORIAL article
Front. Robot. AI
Sec. Robot Design
This article is part of the Research TopicWearables for Human-Robot Interaction & CollaborationView all 5 articles
Editorial: Wearables for Human-Robot Interaction and Collaboration
Provisionally accepted
- 1School of Electrical and Mechanical Engineering, University of Portsmouth, Portsmouth, United Kingdom
- 2Artificial Intelligence Institute, Division of Health, Engineering, Computing, and Science, The University of Waikato, Hamilton, New Zealand
- 3School of Biomedical Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, China
- 4New Dexterity Research Group, Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand
- 5Instituto Israelita de Ensino e Pesquisa, Hospital Israelita Albert Einstein, São Paulo, Brazil
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Wearable devices and related technologies have become deeply embedded in daily life. From consumer electronics to healthcare and industrial automation, wearables are now ubiquitous, enabling seamless interaction between humans and machines and fundamentally transforming modern lifestyles (Ates et al., 2022) as depicted in Figure 1. Devices such as smartwatches, intelligent armbands and gloves, smart insoles, and VR headsets are increasingly popular to support fitness, healthcare, and telepresence operations. At the same time, personalized wearable robots, including exoskeletons, prosthetic limbs, and supernumerary robotic arms, provide real-time physical support for rehabilitation, human motor restoration, and enhancement of capabilities. By inferring human intentions and interpreting behavioral and physiological signals, these systems are reshaping the foundations of human-robot interaction and collaboration. With the rise of concepts such as human-centered design (Boy, 2017;Wang et al., 2024) and Tri-cobots (coexisting-cooperative-cognitive robots) (Ding et al., 2018;Rahman et al., 2024), the development of wearable technologies has been accelerating. This Research Topic has been launched to bring together the latest theoretical advancements and experimental progress across mechanical design, intelligent control and planning, machine learning algorithms, and innovative applications in the field of wearables for human-robot interaction. A total of eight manuscripts were submitted, of which four were accepted after a thorough peer-review process. The
Keywords: wearables, human-robot interaction, Motion capture systems, exoskeletons, human-machineinterfaces
Received: 24 Nov 2025; Accepted: 26 Nov 2025.
Copyright: © 2025 Zhang, Dwivedi, Leng, Liarokapis and Lahr. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xin Zhang
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