Boyu Zhou
PHD Student at HKUST
Hong Kong, China
Summary
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RockstarBoyu Zhou is a PhD student and robotics engineer based in Hong Kong with 26 years of experience blending academic research and hands-on system development in aerial robotics. Trained at HKUST Robotics Institute and now affiliated with SYSU-STAR, he focuses on efficient UAV exploration and mapping, contributing core improvements to frontier-finding algorithms and SDF map functionality in the notable FUEL framework. His work bridges back-end planning modules and real-world flight requirements, improving how unmanned systems discover and interact with unknown environments. Beyond code, he brings a research-driven mindset to practical engineering problems, making algorithmic choices that scale from simulation to field deployment.
26 years of coding experience
Github Skills (3)
cprogramming-language10
c-language10
ros9
Programming languages (4)
Github contributions (5)
HKUST-Aerial-Robotics/FUEL
Oct 2020 - May 2022
An Efficient Framework for Fast UAV Exploration
Role in this project:
Back-end Developer & Robotics Engineer
Back-end Developer & Robotics EngineerContributions:30 commits, 5 PRs, 32 pushes in 1 year 6 months
Contributions summary:Boyu primarily contributed to the `fuel` repository, focusing on the `fuel_planner` module. Their work involved core modifications to the frontier finding algorithms and SDF map functionalities. These changes suggest an effort to enhance the exploration capabilities of UAVs within the framework, by refining how the system identifies and interacts with unknown areas.
roboticsmpcpybulletautonomous-robotsaerial-robotics
HKUST-Aerial-Robotics/TopoTraj
Sep 2019 - Apr 2020
A robust UAV local planner based on the ICRA2020 paper: Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths
Contributions:16 commits, 6 pushes in 7 months
autonomous-navigationuavmotion-planningaerial-roboticstrajectory-optimization
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