Tenglong Zheng
Papers
2
Total Citations
5
H-Index
1
About
Tenglong Zheng is a rising researcher in the field of 3D optical metrology and robotic vision, with a focus on overcoming the challenges of high-precision measurement in noisy, real-world environments. His work centers on dynamic target tracking, multi-view 3D scanning, and global calibration for dual-arm hand–eye systems. In his most cited paper, “A novel dynamic tracking method for coded targets with complex background noise” (2024, 4 citations), Zheng introduces a robust algorithm that maintains tracking accuracy even under severe visual interference, a critical advancement for automated inspection and industrial robotics. Building on this, his 2025 paper proposes the M3DHE-ICP method—a multi-view 3D scanning approach that integrates multi-frequency heterodyne coding phase with ICP registration to achieve collaborative, high-fidelity measurements from dual-arm systems. This work directly addresses the need for reliable 3D imaging in complex noise conditions, with potential applications in manufacturing, reverse engineering, and autonomous assembly. Though early in his career, Zheng’s contributions are already shaping the next generation of intelligent, vision-guided robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2