Muxi Jiang

University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Muxi Jiang is a researcher specializing in computer vision and robotics, with a particular focus on high-speed, long-term visual object tracking for real-world robotic systems. Their most cited work, "High speed long-term visual object tracking algorithm for real robot systems" (2021, 24 citations), introduces a novel algorithm that balances speed and robustness, enabling robots to maintain object tracking over extended periods in dynamic environments—a critical challenge for autonomous navigation and interaction. This contribution addresses the gap between theoretical tracking methods and practical deployment, offering solutions that operate efficiently on resource-constrained hardware. Jiang's research has implications for applications ranging from industrial automation to assistive robotics, where reliable visual tracking is essential. By prioritizing real-time performance without sacrificing accuracy, their work has garnered attention from both academic and engineering communities, as evidenced by its citation impact. Jiang continues to advance the integration of vision-based perception into autonomous systems, pushing the boundaries of what robots can achieve in unstructured settings.