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About

Zhepei Wang is a leading researcher in aerial robotics, specializing in autonomous drone racing, swarm coordination, and motion planning in cluttered environments. His most impactful work, "Swarm of micro flying robots in the wild" (2022, 539 citations), demonstrates the first-ever deployment of drone swarms in dense forests, overcoming challenges of unknown surroundings and narrow corridors through novel coordination algorithms. Wang also developed Fast-Racing (2021, 69 citations), an open-source baseline for SE(3) planning that enables drones to navigate aggressive attitudes at racing speeds while avoiding obstacles—a breakthrough for autonomous drone racing competitions. His contributions extend to whole-body collision evaluation via scale optimization (2023, 13 citations) and fast convex region generation for obstacle-free space (2025, 10 citations), which enhance real-time planning efficiency. Wang’s hierarchical decision-making framework for the International Aerial Robotics Competition (2018, 13 citations) and visibility-constrained optimization for aerial inspection (2022, 7 citations) further showcase his versatility. With over 650 total citations and a focus on pushing drones beyond conventional limits, Wang’s work is foundational for next-generation autonomous flight in unstructured environments.