Soft Bioelectronic Sensors and Robotic Interfaces for Human-Centered Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 20
Special Issue Editors
Interests: soft bioelectronics; human–machine interfaces; advanced signal processing
Interests: sensors; bioelectronics; human-machine interfaces
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advances in soft materials and flexible electronics are promoting the development of biointegrated sensors and robotic systems that can interface closely with the human body. This Special Issue focuses on the design of soft bioelectronic sensors and robotic interfaces that provide natural and seamless interaction with human users, supporting applications such as physiological signal monitoring, adaptive actuation, and intelligent feedback.
We welcome original research on soft and stretchable sensors that capture diverse biosignals (e.g., EEG, EMG, PPG, SCG), wearable systems for continuous health monitoring, and conformable devices for robust human–machine interaction. Studies that address the application of soft actuators, biohybrid robotics, and closed-loop control strategies in rehabilitation, assistive technologies, and neuroadaptive systems are also of interest.
We particularly welcome contributions that integrate signal processing, machine learning, and system-level design for applications in digital health, AR/VR environments, and brain–computer interfaces (BCIs).
By compiling interdisciplinary research spanning materials science, biomedical engineering, and robotics, this Special Issue aims to showcase recent progress and future directions in human-centered soft robotic technologies.
Dr. Hodam Kim
Dr. Woon-Hong Yeo
Guest Editors
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Keywords
- soft bioelectronic sensors
- wearable systems
- human–machine interfaces
- soft robotics
- physiological signal monitoring
- flexible/stretchable electronics
- neuroadaptive systems
- brain-computer interfaces (BCI)
- soft actuators
- digital health technologies
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