AI-Enhanced Measurement and Control for Robotic Systems
A special issue of Automation (ISSN 2673-4052). This special issue belongs to the section "Robotics and Autonomous Systems".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 79
Special Issue Editor
Interests: multi-robots; machine learning; dynamic systems; artificial neural networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) into robotic systems is transforming traditional approaches to measurement, control, and decision-making. This Special Issue aims to highlight recent advances in AI-enhanced methodologies that improve the precision, adaptability, and autonomy of robotic platforms across diverse domains, including industry, healthcare, agriculture, and services.
With the rise of machine learning, computer vision, and data-driven optimization, intelligent control strategies are now more capable than ever of addressing uncertainty, navigating dynamic environments, and performing complex interactive tasks.
We welcome original research articles and comprehensive reviews focusing on the synergy between AI algorithms and robotic control architectures. This Special Issue seeks to bridge the gap between theoretical developments and practical implementations, showcasing innovations that push the boundaries of perception, feedback control, sensor fusion, and adaptive behavior.
Topics include, but are not limited to:
- AI-based sensor calibration and fusion;
- Learning-based motion and force control;
- Intelligent feedback and adaptive control systems;
- Deep learning for robotic perception and state estimation;
- Bio-inspired and evolutionary control techniques;
- Real-time decision-making and trajectory optimization;
- AI-driven predictive maintenance and fault detection;
- Applications in collaborative, mobile, aerial, and agricultural robotics.
Dr. Ameer Tamoor Khan
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. Automation is an international peer-reviewed open access quarterly 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 1200 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
- AI-based sensor calibration and fusion
- learning-based motion and force control
- intelligent feedback and adaptive control systems
- deep learning for robotic perception and state estimation
- bio-inspired and evolutionary control techniques
- real-time decision-making and trajectory optimization
- AI-driven predictive maintenance and fault detection
- applications in collaborative, mobile, aerial, and agricultural robotics
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