The rapid advancements in robotics, artificial intelligence, and biomechanical engineering have transformed prosthetics and wearable devices from basic aids into sophisticated systems designed to replicate natural human movements. Despite these technological strides, a critical challenge persists and that is enabling these devices to adapt effectively to the diverse lifestyles, activities, and environments encountered by different users. Many current prosthetics and wearables struggle to provide consistent performance across various conditions, limiting their functionality, user satisfaction, and consequently their adaptation by a larger number of users. Achieving seamless adaptability requires breakthroughs in sensor technology, real-time data processing, and adaptive algorithms that allow devices to intuitively respond to changing demands. Addressing these limitations is essential for making prosthetics and wearables truly versatile, enhancing users' independence, and ensuring comfort and reliability in daily use.
The goal of this Research Topic is to investigate and promote the latest developments that are driving prosthetic and wearable devices to become smarter, more adaptive, and deeply attuned to the needs of users. With rapid advancements in robotics, artificial intelligence, and sensor technologies, these devices are increasingly able to respond to a variety of user demands, enhancing independence, functionality, and quality of life. Key areas of interest include new methods in intelligent control systems, advanced adaptive algorithms, neural interfaces, and sensor integration, as well as innovations in real-time data processing and machine learning applications. By exploring and showcasing these contributions, this Research Topic aims to advance the creation of prosthetic and wearable devices capable of intuitively adjusting to the user's movements, environment, and diverse activities. This adaptability is crucial for enabling these devices to perform consistently across a range of settings, from everyday scenarios to more complex, dynamic situations. We envision this research as a foundation for the next generation of prosthetics and wearables—devices that can learn, evolve, and grow with their users, creating a more natural and personalized experience that supports greater mobility, independence, and ease in daily life.
We cordially invite contributions from researchers and experts in robotics, biomechanics, human-computer interaction, and rehabilitation engineering. Manuscripts should provide insights into pioneering approaches, including: - Sensor integration and fusion for enhanced real-time adaptability in prosthetics and wearable devices - Adaptive control systems and machine learning algorithms that respond intuitively to user needs - Novel, responsive, and flexible materials that improve comfort and functionality - Neural interfaces that enable direct communication between the nervous system and assistive devices, enhancing control, feedback, and embodiment - User-centered design methodologies and clinical testing to ensure device usability and effectiveness - Human-robot interaction techniques that enhance user experience in prosthetics and wearables - Case studies and trials showcasing real-world applications of intelligent prosthetic and wearable devices
We encourage original research articles, comprehensive reviews, and case studies that push the boundaries of engineering, making prosthetic and wearable technology smarter and more aligned with users' diverse needs and environments.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Clinical Trial
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
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Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
