Dongyue Huang

Papers

Total Citations

H-Index

About

Dongyue Huang is a rising force in robotics and autonomous systems, specializing in the intersection of event-based vision and heterogeneous multi-robot control. His work tackles two critical challenges in real-world robotics: motion deblurring for high-speed perception and robust formation control under complex disturbances. Huang’s 2023 paper on “Fast Event-based Double Integral for Real-time Robotics” (9 citations) provides a groundbreaking theoretical framework that leverages event cameras to solve the ill-posed motion deblurring problem, enabling clear, high-frame-rate image generation essential for vision-based robotics applications. In parallel, his research on “Adaptive Robust Control of the UAV-USV Heterogeneous System” (4 citations) addresses the robust formation tracking of unmanned aerial and surface vehicles under unknown fractional-order dynamics and multiple disturbances—a critical capability for complex marine missions like oil spill cleanup. Though early in his career, Huang’s contributions are already shaping the future of real-time robotic perception and resilient multi-agent systems. His work demonstrates a rare ability to bridge theoretical innovation with practical deployment, making him a researcher to watch in the rapidly evolving field of autonomous robotics.