Intelligent Robotics: Perception, Learning and Advanced Control
A Special Issue of Machines (ISSN 2075-1702) belonging to the section "Robotics, Mechatronics and Intelligent Machines".
Deadline for manuscript submissions: 11 April 2027 | Viewed by 37
Editors
Interests: control theory; machine learning; robotic manipulators; mobile robots; humanoid robots; soft robots
2. EPAM School of Digital Technologies, American University Kyiv, 02000 Kyiv, Ukraine
Interests: robotics; grasping; manipulation; industrial robot; gripping device; pneumatics; ejection; contactless transportation; handling; CFD; modeling; 3D printing
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Special Issue Information
Dear Colleagues,
The rapid evolution of artificial intelligence, sensing technologies, and robotic hardware is reshaping the capabilities of modern robotic systems. Rather than executing predefined tasks in structured environments, intelligent robots are increasingly expected to perceive complex surroundings, learn from interactions and experience, adapt to uncertainty, and perform reliable actions autonomously. Such capabilities are essential for deploying robots in diverse applications, including industrial automation, healthcare, logistics, agriculture, inspection, service robotics, and human-centered environments.
At the heart of this transformation lies the close integration of perception, learning, and advanced control. These interconnected capabilities enable robots not only to understand their environment but also to make informed decisions and execute adaptive, robust, and safe behaviors under dynamic and uncertain conditions. Although remarkable progress has been achieved in recent years, significant challenges remain in developing robotic systems that can operate reliably in real-world scenarios while concurrently achieving high levels of autonomy, intelligence and adaptability.
This Special Issue aims to provide a platform for reporting the latest theoretical developments, algorithmic innovations and practical applications. We welcome original research and review articles presenting innovative theories, algorithms, methodologies and applications advancing and contributing to the next generation of intelligent and autonomous robotic systems.
We look forward to receiving your contributions.
Dr. Linyan Han
Dr. Roman Mykhailyshyn
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly 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
- advanced control
- autonomous systems
- perception and learning
- real-world applications
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