Mingjun Ouyang

University of Louisville, Chinese Academy of Sciences

Papers

Total Citations

111

H-Index

About

Mingjun Ouyang is a robotics researcher whose work bridges simulation, localization, and multi-robot collaboration. His key research areas include robot design and simulation, visual-inertial odometry, and collaborative SLAM (simultaneous localization and mapping). Ouyang’s most cited work, "Robot design using Unity for computer games and robotic simulations" (2012, 59 citations), introduced a groundbreaking approach that leverages the Unity game engine as a primary authoring tool for functional virtual robots, complete with reusable design assets that streamline development workflows. This contribution has been foundational for researchers seeking accessible, game-based simulation platforms. In "Visual-Gyroscope-Wheel Odometry With Ground Plane Constraint for Indoor Robots in Dynamic Environment" (2021, 25 citations), Ouyang advanced indoor robot localization by fusing visual, gyroscope, and wheel encoder data with a ground plane constraint, enhancing robustness in dynamic settings. His collaborative SLAM framework (2021, 23 citations) enables multiple service robots to share and update maps via an edge server, a notable achievement for scalable multi-robot systems. With a total of over 110 citations across his top papers, Ouyang’s work is shaping the future of accessible robot simulation and resilient, cooperative autonomy.