Modelling and Control of Aerospace Robotic Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 7
Special Issue Editors
Interests: nonlinear dynamics and control; system identification
Interests: Bayesian estimation; statistical learning; adaptive control; intelligent control; target tracking; task planning; aerospace systems; space operation; autonomous unmanned systems
Special Issues, Collections and Topics in MDPI journals
Interests: motion planning and control for aerial robot operations, and hybrid force-motion planning and control; mission planning, motion planning, and control for unmanned aerial vehicles
Special Issue Information
Dear Colleagues,
With the rapid development of artificial intelligence and data-driven methodologies, it has become increasingly possible to promote the performance, autonomy, and reliability of modern robotic systems in aerospace fields, especially when they interact with various complex environments. This Special Issue therefore aims to compile original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of modelling and control of aerial and space robotic systems.
Potential topics include, but are not limited to, the following:
- Data-driven dynamical model identification with sensors;
- High-performance sensors for measurement and perception;
- AI-based control policies considering sensor noises;
- Data-driven safety-critical control;
- Intelligent control of soft robots, humanoids, and multi-robot swarms equipped with modern sensors;
- Sensing in robotic systems;
- Digital twin for robotic systems considering sensor data transmission.
Dr. Jianzhe Huang
Dr. Yuankai Li
Guest Editors
Dr. Yinshuai Sun
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- artificial intelligence
- system modelling
- control
- data measurement
- robotic system
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