Emerging Technologies for Assistive Robotics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 20 April 2025 | Viewed by 983
Special Issue Editors
Interests: robotics; artificial intelligence; neural networks
Interests: cognitive robotics; developmental robotics; human–robot interactions; intelligent robots; machine and deep learning applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of robotics and artificial intelligence is transforming modern society, with assistive robotics emerging as a particularly promising field. As the global population ages and the demand for personalized healthcare grows, assistive robots are playing an increasingly vital role in improving the quality of life for individuals with disabilities, the elderly, and those in need of rehabilitation. Rising life expectancy worldwide is placing unprecedented pressure on healthcare systems, as age-related conditions such as mobility impairments, cognitive decline, and chronic illnesses become more prevalent. Traditional care models are struggling to meet this growing demand, making it crucial to explore innovative solutions like assistive robotics to ensure accessible and sustainable care. Assistive robots offer support that enables people to extend their active lives at home, enhancing their independence and wellbeing. These technologies range from wearable exoskeletons that aid mobility to intelligent prosthetics and socially interactive robots that provide companionship and cognitive support. Advances in machine learning, sensor technologies, and human–robot interactions are enabling these systems to better understand and adapt to the dynamic needs of users. This Special Issue highlights the latest research in novel robotic platforms, adaptive control algorithms, and the integration of smart sensors and artificial intelligence to enhance the autonomy and usability of assistive robots. It aims to inspire future research that will continue to push the boundaries of assistive robotics, creating impactful solutions that can significantly improve the lives of those who need them most.
Dr. Andrea Zanela
Prof. Dr. Alessandro Di Nuovo
Guest Editors
Manuscript Submission Information
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Keywords
- assistive robotics
- personalized healthcare
- aging population
- cognitive support
- human–robot interactions
- machine learning
- adaptive control algorithms
- smart sensors
- multimodal interfaces
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