Haokun Wang

Hong Kong University of Science and Technology

Papers

Total Citations

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About

Haokun Wang is a leading researcher in autonomous aerial robotics, with a focus on planning and control for unmanned aerial vehicles (UAVs) carrying suspended payloads. Their work addresses the complex dynamics of quadrotor-cable systems, which offer mechanical simplicity and agility but pose significant challenges in stability and trajectory generation. Wang’s major contributions include the development of **AutoTrans**, a complete planning and control framework for autonomous UAV payload transportation, which has garnered 41 citations since 2023 and is recognized for enabling fully autonomous aerial manipulation. More recently, their 2024 paper on **impact-aware planning and control** (22 citations) tackles the dual motion modes of cable-suspended systems—slack and taut—pushing the boundaries of agile flight while ensuring payload retention. Wang’s research is pivotal for applications in logistics, disaster response, and industrial automation, where precise and robust aerial transportation is critical. Their work has been widely cited by the robotics community, reflecting its impact on advancing autonomous systems. Wang continues to innovate at the intersection of dynamics, control theory, and practical robotics, inspiring future research in aerial manipulation.