Intelligent Control and Robotic Systems for Sustainable Development
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: 30 September 2027 | Viewed by 151
Editor
Special Issue Information
Dear Colleagues,
With the rapid development of intelligent manufacturing and smart city construction, robotic systems and intelligent control technologies are becoming core enablers for improving efficiency, reducing energy consumption, and promoting sustainable development. This Special Issue focuses on intelligent control theory, robot system design, navigation optimization, and reinforcement learning applications in sustainable scenarios. It aims to collect high-quality research on energy-efficient robot control, adaptive optimization, multi-agent coordination, and intelligent decision-making under complex environments.
Suggested themes and article types
Original research articles and review papers are welcome. Contributions may include, but are not limited to, the following research areas:
- Intelligent control theory for sustainable automation;
- Robotic systems for sustainable manufacturing and industrial applications;
- Energy-efficient control and optimization of robotic systems;
- Reinforcement learning and adaptive control for robotics;
- Intelligent navigation, path planning, and motion optimization;
- Multi-robot coordination and distributed control;
- Autonomous decision-making in complex and uncertain environments;
- Human–robot collaboration for sustainable production;
- Robotics for smart cities and intelligent transportation systems;
- Robotics for environmental monitoring and ecological protection;
- Intelligent control for renewable energy and smart energy systems;
- Digital twins for sustainable robotic applications;
- AI-enabled fault diagnosis, predictive maintenance, and system reliability;
- Sustainable agricultural robotics and resource-efficient robotic operations.
This issue strengthens the link between advanced control/robotics and sustainability by highlighting energy saving, safety, reliability, and low-carbon operation. It will complement existing literature by integrating frontier learning-based control methods with real-world engineering applications, providing new theories and solutions for sustainable intelligent systems.
Dr. Shaoxin Sun
Guest Editor
Manuscript Submission Information
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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. Sustainability is an international peer-reviewed open access semimonthly 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 control
- robotic systems
- sustainable development
- intelligent navigation
- reinforcement learning
- adaptive dynamic programming
- energy efficiency
- smart manufacturing
- autonomous systems
- multi-robot coordination
- distributed control
- digital twins
- sustainable robotics
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