Autonomous Robots in Healthcare Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 18261
Special Issue Editor
Interests: mechatronics; bio-inspired robotics and intelligent systems; AI and deep learning; deep reinforcement learning; AI and deep learning applications in engineering and biomedicine
Special Issue Information
Dear Colleagues,
Autonomous robots in biomedical and healthcare applications have the potential for rapid growth in parallel with technological advances in sensing, data acquisition, signal and image processing, actuation, computing-hardware and software, artificial intelligence (AI), and deep learning algorithms, including deep reinforcement learning (DRL). The encompassed sensors include both traditional and miniaturized wearable biosensors for physiological signals and those used for electromyography (EMG), electroencephalography (EEG), and electrocardiography (ECG). The potential applications include assistive living, rehabilitations, and mental stress detection and mitigation through interventions based on the use of human–robot interactions (HRIs) in healthcare facilities and hospital environments.
This Special Issue aims to publish a collection of articles representing the state-of-the-art and future trends in the development of autonomous robots in healthcare applications within the broader area of bio-inspired robotics and intelligent systems (b-IRIS), component technologies, and their integration. Potential authors are invited to contribute in the form of original research, theoretical developments, experimental studies, and reviews of the current status and future trends in the area.
The topic fits very well within the section of “Intelligent Sensors” given the focus on integration of sensing, signal processing, actuation, computing, and potential deep learning algorithms toward the development of autonomous and intelligent systems in healthcare applications.
Dr. Biswanath Samanta
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence (AI) and deep learning
- autonomous navigation
- bio-inspired robotics and intelligent systems (b-IRIS)
- brain–computer interface (BCI)
- deep reinforcement learning (DRL)
- electrocardiography (ECG)
- electroencephalography (EEG)
- electromyography (EMG)
- human–robot interaction (HRI)
- motor imagery (MI)
- intent prediction
- mental stress detection and mitigation
- physiological signals
- wearable sensors
