Perception and Intelligent Control for Cyber–Physical Systems: From Robotics to Autonomous Ecosystems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: 15 March 2026 | Viewed by 21
Special Issue Editor
Interests: robotics; automation; artificial intelligence; intelligent motion planning and control; learning-based robotic systems; nonlinear control methodologies; trajectory optimization; synergistic integration of AI for decision-making; interactive manipulation in complex environments
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the integrated roles of advanced perception, learning algorithms, and intelligent control in enabling autonomy for robotic and unmanned systems. It aims to showcase cutting-edge research that bridges the gap between theoretical innovation and practical application, emphasizing systems that can operate, adapt, and cooperate in complex, real-world environments.
The scope encompasses a wide range of topics within robotic cyber–physical systems, including, but not limited to, the following:
- Novel sensing technologies and multi-sensor fusion for environment perception and state estimation.
- Machine learning and AI-driven control strategies (e.g., deep reinforcement learning, adaptive control).
- Digital twins for autonomous systems, dynamic modeling and synchronization between physical robots and their digital twins.
- Twin-guided perception, predictive maintenance, and real-time replanning.
- Human-in-the-loop interaction and teleoperation via immersive digital twins.
- Autonomous navigation, decision-making, and motion planning under uncertainty.
- Multi-robot systems: distributed control, collaborative perception, and swarm intelligence.
- Human–robot interaction, safe collaboration, and trustworthiness.
- Real-world applications in areas such as industrial automation, autonomous driving, aerial drones, and healthcare robotics.
- Middleware and software frameworks for autonomous cyber–physical systems.
The purpose of this collection is to provide a platform for researchers to present high-quality original research and reviews that address both theoretical advances and practical implementations. We seek to highlight how integrated perception and control strategies are pushing the boundaries of what autonomous systems can achieve—from single robots to large-scale cooperating networks.
Dr. Yueyue Liu
Guest Editor
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Keywords
- intelligent perception and sensing
- autonomous robotic systems
- digital twin modeling
- learning-based control
- multi-robot coordination
- cyber–physical systems
- adaptive control
- autonomous planning
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