Multimodal Sensing for Next-Generation Brain–Computer Interface and Human–Robot Interaction
A Special Issue of Sensors (ISSN 1424-8220) belonging to the section "Sensors and Robotics".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 355
Editor
Interests: brain–computer interfaces; neuroprosthetics and exoskeletons; machine learning; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multimodal sensing is rapidly reshaping the landscape of brain–computer interfaces (BCIs) and human–robot interaction (HRI), enabling systems that are more adaptive, intuitive, and human-centered. By integrating neural, physiological, biomechanical, and environmental signals, next-generation intelligent systems can move beyond single-modality limitations to achieve robust perception, shared autonomy, and seamless interaction between humans and machines.
Advances in wearable and non-invasive sensing technologies—such as EEG, EMG, ECG, GSR, motion capture, vision, and tactile sensing—are opening new possibilities for decoding intent, affect, and motor states in real time. These developments are driving transformative applications across neurorehabilitation, assistive robotics, immersive VR/AR, collaborative robotics, and mental health technologies. However, significant challenges remain in multimodal data fusion, real-time inference, robustness, personalization, interpretability, and closed-loop control.
This Special Issue focuses on multimodal sensing frameworks, algorithms, and applications that advance BCIs and HRI, including, but not limited to, the following:
- Multimodal neural and physiological sensing for BCIs;
- Sensor fusion and representation learning for intent and state decoding;
- Affective, cognitive, and motor state estimation;
- Human–robot collaboration and shared autonomy;
- Wearable and unobtrusive sensing technologies;
- Multimodal perception for assistive and rehabilitative robotics;
- Closed-loop and adaptive BCI-robot systems;
- VR/AR-based embodied interaction and therapy platforms;
- Explainable and interpretable multimodal AI for HRI.
We invite original research articles, review papers, and short communications that present theoretical advances, methodological innovations, and real-world applications at the intersection of multimodal sensing, BCIs, and human–robot interaction.
Dr. Ramana Kumar Vinjamuri
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- multimodal sensing
- brain–computer interfaces
- human–robot interaction
- sensor fusion
- wearable biosignals
- neurotechnology
- affective computing
- assistive and rehabilitative robotics
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