New Advances in Human-Robot Collaboration

Dear Colleagues,

Human-robot collaboration (HRC) refers to integrating human and robot capabilities in a collaborative working environment. It has the potential to revolutionise manufacturing, healthcare monitoring, logistics, education, space exploration, and more, resulting in advancements across various domains.

For example, robots can support medical professionals in healthcare by performing repetitive tasks, such as medication delivery or patient monitoring, allowing healthcare providers to focus on more complex and critical aspects of care. HRC can also enhance rehabilitation processes by providing physical assistance and real-time patient feedback during therapy sessions. In manufacturing, HRC enables robots to assist humans in assembly tasks, leading to increased productivity, improved quality, and reduced physical strain on workers. In education, they can support children’s activities and enhance students’ social interaction.

Recent years have seen a significant increase in the prevalence of human-robot collaboration, largely attributed to the rapid advancements in AI technologies. However, applications in HRC have not yet been extensively studied.

We are pleased to invite experts from academia and industry to present their recent developments integrating human and robot capabilities in a collaborative working environment

This Special Issue aims to overcome this challenge by inviting experts from academia and industry to present their recent developments. In this Special Issue, original research articles and reviews are welcome.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Human-robot interaction;
• Human-robot collaboration;
• Robot perception;
• Applications of artificial intelligence;
• Human activity/intention analysis;
• Computer vision;
• AI-driven wearable sensors;
• Smart sensing;
• Application of human-robot collaboration in all fields;
• Healthcare monitoring systems;
• Disease diagnosis.

We look forward to receiving your contributions.

Prof. Dr. Daniela M. Romano
Dr. Bangli Liu
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.

• human-robot interaction
• human-robot collaboration
• robot perception
• applications of artificial intelligence
• human activity/intention analysis
• computer vision
• AI-driven wearable sensors
• smart sensing
• application of human-robot collaboration in all fields
• healthcare monitoring systems
• disease diagnosis