Panagiotis Papageorgas
Papers
1
Total Citations
39
H-Index
1
About
Dr. Panagiotis Papageorgas is a leading researcher in robotics and control systems, with a primary focus on aerial manipulation and neural network-based control. His work addresses critical challenges in Aerial Robot Arms (ARAs), which allow drones to interact with and manipulate objects in diverse environments. Dr. Papageorgas is best known for developing an adaptive robust controller design based on Radial Basis Function (RBF) neural networks, which overcomes the limitations of traditional controllers that require high-precision models to avoid control chattering. This innovative approach, detailed in his most-cited 2021 paper (39 citations), enables more stable and reliable aerial object manipulation under varying payloads. His contributions are pivotal for advancing practical applications in aerial robotics, including inspection, maintenance, and logistics. With a growing citation impact, Dr. Papageorgas continues to shape the future of autonomous systems, making his work essential reading for students and researchers in robotics and control engineering.
Research Focus
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Top Papers
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