Advances in Intelligent Control Theory and Robotics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 1243
Special Issue Editors
Interests: mechanical system dynamics and control; robotic intelligent manufacturing
Interests: robot control and robotic machining; intelligent CNC technology and high-end CNC machine tools; CNC systems
Special Issue Information
Dear Colleagues,
Intelligent control theory and robotics are rapidly evolving fields that leverage advances in mathematics, artificial intelligence, and engineering to develop innovative solutions for complex real-world problems. Recent breakthroughs in machine learning, optimization, and autonomous systems are expanding the capabilities of robotic systems, from industrial automation to healthcare robotics and autonomous vehicles. However, there remains a significant gap between the cutting-edge mathematical techniques used in control theory and the practical implementations in robotic systems.
This Special Issue aims to provide a comprehensive overview of the latest novel mathematical methods and intelligent control strategies to a diverse range of robotic systems. We welcome contributions that blend theory with practical implementation, offering insights that can guide future developments in the field, particularly in the context of smart and automated manufacturing environments. Topics of interest include, but are not limited to, the following:
- Advanced control methods for robotic systems, including adaptive, optimal, and robust control;
- Machine learning and artificial intelligence in robotics;
- Autonomous systems and decision-making algorithms;
- Multi-agent systems and swarm robotics/UAVs/UGVs;
- Vision-based and sensor-based control for robotics;
- Nonlinear dynamics and stability analysis in robotics;
- Applications in industrial robotics, medical robots, and service robots;
- Cooperative control and human–robot interaction;
- Innovations in robotic kinematics, path planning, and trajectory optimization;
- Robotic intelligent manufacturing, including adaptive production systems, automated assembly, and real-time monitoring and control;
- Collaborative robots (cobots) for flexible, adaptive manufacturing processes.
Dr. Fangfang Dong
Prof. Dr. Jiang Han
Dr. Xiaomin Zhao
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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 control
- robotics
- machine learning
- autonomous systems
- robotic manufacturing
- swarm systems
- adaptive control
- cooperative control
- smart factories
- collaborative robots (cobots)
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