Adam Harmat
Papers
3
Total Citations
27
H-Index
3
About
Adam Harmat is a robotics researcher whose work bridges the gap between autonomous systems and dynamic, real-world interaction. His key research areas include aerial robotics, legged locomotion, and real-time simulation for unmanned aerial vehicles (UAVs). Harmat’s most cited work, "Control, localization and human interaction with an autonomous lighter-than-air performer" (2016, 21 citations), showcases his expertise in developing autonomous systems that can safely and intuitively interact with humans, a critical step for service and entertainment robotics. He also made notable contributions to legged robotics, designing a novel jumping behaviour for the wheeled quadruped robot PAW (Platform for Ambulating Wheels). This work demonstrated how a robot with minimal degrees of freedom and no knee joints could achieve dynamic locomotion using springy legs and wheels, pushing the boundaries of efficient, multi-modal mobility. Additionally, Harmat advanced UAV simulation with a hybrid particle/grid wind model for real-time flight simulation in urban environments, enabling high-level landing behaviors to be tested under realistic wind conditions. With a total of 27 citations across his most-cited papers, Harmat’s research is characterized by its practical focus on enabling robots to navigate, interact, and perform in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
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