Papers
19
Total Citations
815
H-Index
11
About
Boyu Zhou is a prominent robotics researcher whose work centers on autonomous aerial robotics, motion planning, and environmental mapping for unmanned aerial vehicles (UAVs). His research has made transformative contributions to the field of robot autonomy, particularly in enabling UAVs to navigate, explore, and reconstruct complex environments with unprecedented efficiency and reliability. Zhou is perhaps best recognized for his landmark FUEL framework (296 citations), which revolutionized UAV autonomous exploration through hierarchical planning and incremental frontier structures, and for FIESTA (226 citations), which addressed a critical bottleneck in real-time motion planning by enabling fast, incremental construction of Euclidean distance fields. Together, these works established foundational tools widely adopted across the aerial robotics community. His subsequent contributions — including FAEL for large-scale exploration (77 citations), PredRecon for high-quality aerial 3D reconstruction, and H₂-Mapping for NeRF-based dense mapping — demonstrate a consistent drive to push the boundaries of real-time robot intelligence. Beyond single-robot systems, Zhou has extended his expertise to cooperative multi-UAV inspection through the CARIC benchmark and to challenging payload transportation scenarios involving suspended loads. With over 750 cumulative citations and a growing body of influential work spanning planning, mapping, and multi-robot coordination, Zhou represents a leading voice in next-generation autonomous aerial systems.
Research Focus
Key Achievements
Top Papers
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- 7Impact-Aware Planning and Control for Aerial Robots With Suspended Payloads22 citations · 2024
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