Xintong Du

University of Toronto, Technical University of Munich

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Total Citations

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About

Xintong Du is a robotics researcher whose work spans aerial vehicles, mobile manipulation, and multi-robot systems — areas that collectively address some of the most pressing challenges in autonomous robotics. Du gained early recognition with the Phoenix Drone project (2019), introducing the first fully open-source tail-sitter micro aerial vehicle platform. This dual-rotor design, praised for its low cost and extensibility, has become a valuable resource for the research and education communities, accumulating 12 citations and lowering barriers to aerial robotics experimentation. Building on a foundation in autonomous systems, Du later contributed to the emerging field of mobile manipulation with a hierarchical task model predictive control framework (2023) that bridges large language model-based task planning with real-world sequential robot execution — a timely contribution as intelligent assistive robots move closer to everyday deployment. Earlier work on learning coordination policies for robotic swarms (2017) demonstrated Du's long-standing interest in distributed intelligence, tackling the complex challenge of designing scalable collective behaviors inspired by biological systems. Across these contributions, Du's research consistently emphasizes practical, deployable solutions that connect theoretical advances to real-world robotic applications.