Intelligent Robotics: Design, Control and Application
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 20 August 2026 | Viewed by 5
Special Issue Editor
Interests: estimation; control; computer vision; robotics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to our upcoming Special Issue of Electronics (MDPI), entitled “Intelligent Robotics: Design, Control and Application.” This Special Issue aims to showcase recent advances on the synergy between embedded electronic design, intelligent control algorithms, and their implementation in practical robotic systems. It emphasizes the interplay between hardware and software innovations that enable robots to perceive, decide, and act intelligently in dynamic environments.
We welcome original research articles and comprehensive reviews in three main domains: robotic design and mechatronic integration, including embedded architectures, sensors and actuators, and system optimization; intelligent control and learning systems covering adaptive, robust, and machine learning-based control strategies; and applications of intelligent robotics highlighting validated use cases in manufacturing, healthcare, logistics, agriculture, and service robotics.
Our purpose is to provide a cohesive and technically grounded collection of papers that illustrate how advances in electronics and computation are transforming robotic intelligence. By bringing together work from these three thematic axes, the Special Issue seeks to identify emerging design patterns, control architectures, and applications that will shape the near future of autonomous robotic systems.
While there are numerous publications on robotics, few offer an integrated perspective linking electronic design, intelligent control, and real-world deployment within a single framework. The recent literature often focuses on individual aspects without highlighting how these elements interact to achieve autonomy.
This Special Issue aims to fill that gap by curating contributions that explicitly connect these domains, thus complementing existing research streams in intelligent mechatronics, cyber–physical systems, and learning-based control. It will provide readers with both theoretical insights and experimental validations that demonstrate how intelligent electronics serve as the backbone of modern robotic systems.
Dr. Juan-Pablo Ramirez-Paredes
Guest Editor
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.
Keywords
- intelligent robotics
- reinforcement learning
- human–robot interaction
- autonomous systems
- active sensing
- smart actuators
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