Advanced Control and Optimization for Robotic Systems
A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Sensors and Control in Robotics".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 120
Special Issue Editor
Interests: robotics and autonomous systems; cyber-physical systems; robotics for environmental monitoring; robotics for extreme environments; unmanned aerial vehicles; cooperative navigation and control; multi-agent systems; active noise and vibration control systems; system identification; adaptive control and signal processing
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Special Issue Information
Dear Colleagues,
Robotic systems are rapidly advancing in terms of complexity, autonomy, and versatility, requiring innovative control and optimization strategies to achieve high performance in real-world unstructured environments and safety critical applications. This Special Issue seeks original research and review articles that address the latest theoretical developments, computational methods, and practical implementations in advanced control and optimization for robotics.
We invite contributions that explore novel frameworks, algorithms, and applications that enhance the intelligence, adaptability, and robustness of robotic systems across diverse domains, such as industrial automation, service robotics, autonomous vehicles, underwater/aerial robots, and human–robot interaction.
Topics of interest include (but are not limited to) the following:
- Nonlinear, adaptive, and robust control methods for robotics;
- Learning-based and reinforcement learning control techniques;
- Optimization-based control (MPC, convex/non-convex optimization, distributed optimization);
- Cooperative control and coordination of multi-robot systems;
- Control and estimation under uncertainty, disturbances, and communication constraints;
- Observer-based design for robotics applications;
- Visual servoing and sensor-based control strategies;
- Intelligent control for human–robot collaboration and assistive robotics;
- Energy-efficient and sustainable control strategies for robotic systems;
- Safe and reliable control under physical and safety constraints;
- Optimization in motion planning, trajectory generation, and navigation;
- Hybrid approaches combining model-based and data-driven control;
- Applications of fuzzy, neural, and intelligent systems in robotic optimization;
- Benchmarking, simulation platforms, and experimental validation of advanced control algorithms.
This Special Issue will serve as a platform for bridging theory and practice, highlighting both cutting-edge methodologies and real-world case studies that demonstrate the transformative potential of advanced control and optimization in robotics.
Dr. Allahyar Montazeri
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. Robotics 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 1800 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
- nonlinear, adaptive, and robust control for robotics
- learning-based and reinforcement learning control
- optimization-based control
- MPC
- convex/non-convex optimization
- distributed optimization
- cooperative control
- multi-robot systems
- sensor-based control
- sustainable control
- safe and reliable control
- motion planning
- trajectory generation
- data-driven control
- model-based control
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