معرفی
Ketao Zhang is a Senior Lecturer in Robotics at the School of Engineering and Materials Science, Queen Mary University of London, and serves as the Industrial Engagement Lead of the Centre for Intelligent Transport. He is also affiliated with the Centre for Advanced Robotics, where he leads research in aerial robotics, soft robotics, and bio-inspired design.
- Senior Lecturer in Robotics, Queen Mary University of London
- Industrial Engagement Lead, Centre for Intelligent Transport
- Research Affiliation: Centre for Advanced Robotics
- Research Group: Robotic Systems
Dr. Zhang's research focuses on advanced robotic systems, particularly in the domains of aerial robotics, soft robotics, kinematics, and reconfigurable mechanisms. His work integrates origami-inspired design, bio-inspired locomotion, and additive manufacturing to develop innovative robotic solutions. Key interests include screw theory, reconfigurable parallel manipulators, soft actuators and sensors, and morphable soft-bodied robots. His research themes are highly interdisciplinary, bridging mechanical engineering, materials science, and autonomous systems.
The recent publications of Dr. Zhang span high-impact journals and conferences, with a clear trend toward aerial additive manufacturing, soft-actuated systems, and reconfigurable UAVs. His work often involves multi-robot coordination, bio-inspired design, and novel actuation mechanisms. Themes such as electroadhesion, variable stiffness, and 3D printing with drones are recurrent, indicating a strong focus on autonomy, adaptability, and real-world deployment.
- ERC SyG 2023: Multi-sensor Eversion Robot for Intelligent Endoscopic Microsurgery
- NERC: EMPreSS – Methane Monitoring with UAVs
- Innovate UK: Human-Augmented Robotics for Precision Viticulture
- Royal Society: Electroadhesion for Perching UAVs
- Royal Society: Bio-inspired Quadruped Locomotion
- EPSRC: Core Equipment for Robotics Research
Dr. Zhang has secured substantial research funding from major UK and EU agencies, supporting interdisciplinary projects with applications in healthcare, environmental monitoring, and agriculture. He collaborates extensively with researchers such as Kaspar Althoefer, Lei Su, and Mohamed Thaha. While student advising details are not publicly listed, his active grants and publications suggest mentorship of PhD and postdoctoral researchers. His lab focuses on intelligent transport systems, aerial robotics, and soft robotic platforms, contributing to both fundamental mechanism design and applied autonomous systems.
