Daniel Melia Boix
Papers
2
Total Citations
21
H-Index
2
About
Daniel Melia Boix is a robotics researcher specializing in adaptive landing systems for rotorcraft, with a focus on enabling helicopters to operate in challenging, uneven terrains. His key research areas include robotic landing gear design, mathematical modeling, and control strategies for autonomous aerial vehicles. Boix's major contribution is the development of an articulated robotic landing gear that replaces conventional fixed skids, allowing helicopters to adapt to irregular ground conditions through four articulated legs connected to the fuselage. His most-cited work, "Modelling and control of helicopter robotic landing gear for uneven ground conditions" (2017), with 18 citations, presents a planar landing model and control approach that has laid the groundwork for safer, more versatile helicopter operations in remote or disaster-stricken areas. A subsequent paper (2018) further refines these concepts, demonstrating a comprehensive simulation and control framework. Though his citation counts are modest, Boix's work is notable for its practical innovation, addressing a critical gap in rotorcraft mobility. His research holds promise for advancing autonomous landing systems, with potential applications in military, search-and-rescue, and civilian aviation, marking him as a rising contributor to the field of robotic aerial systems.
Research Focus
Key Achievements
Top Papers
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- 2