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About

Vaios Lappas is a leading aerospace engineer whose research spans spacecraft swarm navigation, drone autonomy, and tethered satellite systems. His most influential work, "Spacecraft Swarm Navigation and Control Using Artificial Potential Field and Sliding Mode Control" (2006, 30 citations), pioneered the use of artificial potential fields combined with sliding mode control for multi-agent spacecraft coordination, offering a robust framework for future swarm missions. Lappas also made significant contributions to vertical takeoff and landing (VTOL) aircraft with his 2014 study on transitional control architecture for twin-rotor tailsitters (24 citations), advancing the design of hybrid drones. His work on tethered de-orbiting (2018, 18 citations) addresses the critical challenge of space debris removal, while his involvement in the ESA Lunar Robotics Challenge (2012, 11 citations) demonstrated practical teleoperated robotic systems for lunar exploration. More recently, Lappas has explored machine learning for drone navigation, developing decision-tree-based obstacle avoidance methods (2020). With over 87 citations across his top papers, his research has directly influenced both space and terrestrial robotics, bridging theoretical control methods with real-world applications in autonomous systems.