Apolo Silva Marton
Papers
3
Total Citations
10
H-Index
2
About
Apolo Silva Marton is a robotics and autonomous systems researcher whose work centers on the navigation, estimation, and control of robotic airships — a challenging and relatively niche domain within aerial robotics. His most recognized contributions focus on developing hybrid model-based and data-driven approaches to wind velocity estimation, addressing a critical gap in autonomous airship navigation where direct wind measurement is typically unavailable. His 2020 publication on this topic has garnered 5 citations, with a closely related 2019 conference or journal version accumulating 3 citations, reflecting growing interest in his methodology within the control and guidance community. Marton has also contributed to the comparative analysis of state estimation techniques for robotic airships, evaluating Low-Pass Filtering, Extended Kalman Filtering, and Unscented Kalman Filtering for fusing GPS and IMU data — work that has earned 2 citations and serves as a practical reference for researchers designing airship navigation systems. Though his citation counts are modest, his research addresses specialized and technically demanding problems at the intersection of sensor fusion, autonomous navigation, and soft-body aerial vehicles, positioning him as an emerging contributor to the field of unconventional autonomous aerial systems.
Research Focus
Key Achievements
Top Papers
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