Editorial: Wearables for human-robot interaction and collaboration

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

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Publication Details

Journal
Frontiers in Robotics and AI
Published
2025-12-09
DOI
https://doi.org/10.3389/frobt.2025.1753153
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
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Editorial: Wearables for human-robot interaction and collaboration

Yuquan Leng, Gustavo J. G. Lahr, Minas Liarokapis, Anany Dwivedi et al.
Frontiers in Robotics and AI
Prosthetics and Rehabilitation Robotics
article

Editorial: Wearables for human-robot interaction and collaboration

Yuquan Leng, Gustavo J. G. Lahr, Minas Liarokapis, Anany Dwivedi, Xin Zhang
article en

Abstract

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

Frontiers in Robotics and AIVol. 12
Waikato Institute of Technology (NZ), University of Auckland (NZ), National Technical University of Athens (GR), Harbin Institute of Technology (CN), Hospital Israelita Albert Einstein (BR), University of Waikato (NZ), University of Portsmouth (GB)
Openalex Percentile: Top 62%
Prosthetics and Rehabilitation Robotics
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