Azarakhsh Keipour
Papers
6
Total Citations
216
H-Index
5
About
Azarakhsh Keipour is a robotics researcher whose work spans autonomous aerial systems, fault detection, and deformable object manipulation. He is perhaps best known for creating the ALFA dataset, a comprehensive benchmark for UAV fault and anomaly detection that has amassed over 123 citations since its 2020 release — a resource that has become foundational for researchers developing safer autonomous aerial vehicles. His contributions to UAV autonomy extend further through his highly cited work on visual servoing-based autonomous landing on moving platforms, which addresses a critical challenge in real-world drone deployment such as delivery and marine operations, earning 71 citations. Beyond aerial robotics, Keipour has broadened his research into manipulation, exploring the perception and handling of deformable linear objects like cables and ropes — an emerging frontier in robotics — as well as the physical interaction of fully-actuated multirotors with their environment. His more recent work on automating large-scale warehouse package manipulation demonstrates an applied focus on industrial robotics with meaningful commercial implications. Across his career, Keipour has consistently tackled problems at the intersection of perception, control, and real-world deployment, making contributions that bridge foundational research and practical autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1ALFA: A dataset for UAV fault and anomaly detection123 citations · 2020
- 2Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle71 citations · 2022
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- 6Detection and Physical Interaction with Deformable Linear Objects2 citations · 2022