Papers
8
Total Citations
601
H-Index
6
About
Qianhao Wang is a pioneering roboticist whose research focuses on autonomous navigation, swarm robotics, and motion planning in complex, unstructured environments. His most impactful work, "Swarm of micro flying robots in the wild" (2022), has garnered 539 citations and demonstrates the first successful deployment of drone swarms in dense forests—a feat previously considered impossible due to narrow corridors and unknown surroundings. Wang’s key contributions include developing whole-body collision evaluation tools, such as the Robo-Centric ESDF (2023) and a linear exact algorithm for collision evaluation, which enable any-shaped robots to navigate tight spaces safely and efficiently. He has also advanced convex region generation for obstacle-free space (2025) and visibility planning for aerial inspection (2022). Notably, his work on tractor-trailer robot trajectory planning (2025) and LiDAR-based perception-aware navigation (2024) extends autonomous capabilities to logistics and low-visibility scenarios. With over 600 total citations, Wang’s research bridges the gap between theoretical planning algorithms and real-world deployment in challenging environments, making him a leading figure in field robotics and swarm intelligence.
Research Focus
Key Achievements
Top Papers
- 1Swarm of micro flying robots in the wild539 citations · 2022
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