Piaoqi Zhang
Papers
1
Total Citations
9
H-Index
1
About
Piaoqi Zhang is a researcher at the forefront of autonomous navigation and dynamic perception, with a primary focus on monocular visual-inertial sensing for unknown rotating objects. His most cited work, "Monocular Visual-Inertial Sensing of Unknown Rotating Objects: Observability Analyses and Case Study for Metric 3D Reconstructing of Space Debris" (2022, 9 citations), tackles a critical challenge in robotics and aerospace: enabling mobile robots to perceive and reconstruct dynamic objects in motion. Zhang’s key contribution lies in his rigorous observability analyses, which demonstrate how fusing a monocular camera with an inertial measurement unit (IMU) can overcome the limitations of traditional static-environment assumptions. This breakthrough allows for metric 3D reconstruction of space debris—a notoriously difficult problem due to unknown rotation and scale ambiguity. By extending visual-inertial odometry to dynamic targets, Zhang’s work has significant implications for autonomous spacecraft rendezvous, debris removal, and robotic manipulation in unstructured environments. His research bridges theoretical control theory with practical sensing, offering a foundation for future systems that must navigate and interact with moving objects. With growing citation impact, Zhang is establishing himself as a rising authority in visual-inertial perception for dynamic scenes.
Research Focus
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Top Papers
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