Advancements in Robotics: Perception, Manipulation, and Interaction

Dear Colleagues,

The realm of robotics has witnessed profound advancements, expanding its reach into numerous fields where the synergy between human and machine is paramount. Innovations in robotic perception, manipulation, and interaction have not only propelled the capabilities of robots but have also revolutionized the way they collaborate with humans in diverse environments. To capture and disseminate the latest breakthroughs in this dynamic domain, we are organizing a Special Issue titled "Advancements in Robotics: Perception, Manipulation, and Interaction" with Electronics.

This Special Issue aims to explore the cutting-edge developments in robotic systems that enhance sensory perception, refine manipulation skills, and enrich interactive experiences. We are calling for contributions that shed light on the theoretical underpinnings, practical applications, and transformative impacts of these advancements. We welcome submissions that delve into the implementation, deployment, and real-world outcomes of novel robotic technologies.

Authors are encouraged to submit original research that encapsulates a broad spectrum of topics within the scope of robotic advancements. The areas of interest for this Special Issue include, but are not limited to, the following:      

• Sensor technologies and perception algorithms for robotics;
• Robotic manipulation in unstructured or dynamic environments;
• Human–robot interaction and collaboration;
• Machine learning and AI applications in robotic systems;
• Autonomous decision making and control in robotics;
• Robotic assistance in healthcare, manufacturing, and service sectors;
• Ethical considerations and social impacts of robotic interactions;
• Integration of robotics with IoT and smart infrastructure;
• Advances in robotic mobility and dexterity;
• Haptic feedback and teleoperation in robotic systems;
• Robotics in extreme or hazardous environments;
• Personalized and adaptive robotic assistance.

We are looking forward to your valuable contributions to this Special Issue, which we believe will serve as a pivotal platform for academics, researchers, industrial experts, and practitioners to exchange insights, foster collaborations, and advance the state of the art in robotics.

Dr. Peng Zhou
Dr. Anqing Duan
Dr. Liang Lu
Dr. Jiajun Xu
Dr. Wanyu Ma
Dr. David Navarro-Alarcon
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.

• robotics and AI robot perception
• active perception
• multi-modal perception
• scene understanding
• field robotics
• robot grasping
• robot manipulation
• robot learning
• task and motion planning
• rehabilitation robotics
• biomimetic robotics
• human–robot interaction control