New Advances of Brain-Computer and Human-Robot Interaction

Dear Colleagues,

In recent years, remarkable strides have been made in the fields of brain–computer interaction (BCI) and human–robot interaction (HRI), ushering in an era of unprecedented connectivity between humans and technology. BCI has undergone a revolution, opening exciting possibilities for individuals with disabilities and expanding our understanding of the human brain. Brain–computer interfaces allow for direct communication between the human brain and external devices, offering new avenues to enable those with paralysis or neurodegenerative diseases to regain control over their environment. With applications in neurorehabilitation, communication, and entertainment, BCI has unveiled the potential to enhance human capabilities beyond traditional means. Neuroscientists and engineers are constantly refining technology, making it more accessible and user-friendly, which promises to shape the way we interact with the digital world.

Simultaneously, HRIs have evolved to create more intuitive and natural interactions between humans and robots, blurring the lines between man and machine. With the advent of advanced sensors, machine learning algorithms, and artificial intelligence, robots can now perceive and respond to human emotions, gestures, and speech with greater accuracy and empathy. These advancements have engendered the use of HRI in various domains: from healthcare to manufacturing; in making robots—not mere tools, but companions and caregivers; and enhancing our quality of life.

These new advances in BCI and HRI mark a significant leap forward in our relationship with technology, with profound implications for society. As the boundaries between humans and machines continue to blur, it is essential to navigate the ethical and social implications of these technologies while embracing the opportunities they offer for a brighter, more inclusive, and interconnected future.

This Special Issue invites original research papers that report on recent advancements in BCI and HRI across a wide range of investigations and their practical applications. Prospective authors are invited to submit high-quality contributions and reviews.

Dr. Alejandro L. Borja
Dr. Roberto Sanchez-Reolid
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.

• signal processing
• electroencephalography
• brain–computer interface
• neural signal processing techniques (EEG, MEG, MRI/fMRI, PET, fNIRS)
• machine learning
• deep learning
• neural networks
• neuroscience