Control Methods and Applications of Advanced Robotics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 36
Special Issue Editors
Interests: nonlineal control; biomedical systems; embedded systems; AI
Interests: nonlinear systems; robotics; underactuated systems; neural networks; complex systems; mechatronics; aerial autonomous systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mobile robotic systems have been at the forefront of rapid development and continuous evolution over the past decade. Fundamental challenges, such as humanoid robot motion control or aerial vehicle synchronization, have been resolved in record time, demonstrating outstanding performance in executing complex tasks even in realistic environments or with limited resources. This progress would not have been possible without the development of advanced and intelligent control algorithms that account for complex model dynamics, physical system limitations, and external disturbances, as well as the characteristics and constraints of communication networks and the computational resources of the platforms where they are implemented.
This Special Issue aims to compile the latest developments in control methodologies and algorithms, as well as their applications in advanced robotic systems and complex mobile systems. These advancements take advantage of the latest technological innovations in mechanisms, materials, construction technologies, communication networks, and any other technological breakthroughs that could enrich the field of control methods and their applications in advanced robotics.
The primary objective of this Special Issue is to gather recent advancements in robotics, focusing particularly on practical and theoretical challenges, efficient implementations in real-world applications, and innovative designs whose benefits can be validated through simulations. It aims to encompass a broad spectrum of significant applications in robotics and control, including the following:
- Modeling and Control Design;
- Sensing, Measurement, and Estimation;
- Real-time Embedded Systems;
- Solving of Complex Motion Tasks;
- Novel Mechanical Design;
- Artificial Intelligence in Control Applications;
- Intelligent Control.
Dr. Carlos Aguilar-Avelar
Prof. Dr. Javier Moreno-Valenzuela
Guest Editors
Manuscript Submission Information
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Keywords
- robotic systems
- motion control
- nonlinear control
- modeling
- remote sensing
- estimation
- real-time control
- embedded systems
- artificial intelligence
- intelligent control
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