Haotian Zheng

New York University

Papers

1

Total Citations

40

H-Index

1

About

Haotian Zheng is an emerging researcher at the forefront of artificial intelligence and robotics, with a particular focus on computer vision and intelligent control systems. His work bridges the gap between biological vision principles and machine perception, advancing the development of robots capable of interpreting and navigating complex three-dimensional environments from two-dimensional visual inputs. His most notable contribution, "Intelligent Robotic Control System Based on Computer Vision Technology" (2024), has already garnered 40 citations within a short period of publication — a remarkable achievement that signals strong community interest and relevance in the rapidly evolving fields of autonomous systems and AI-driven robotics. By simulating biological vision mechanisms through computational frameworks, Zheng's research enables more sophisticated and adaptive robotic behavior, with broad applications spanning industrial automation, autonomous navigation, and human-robot interaction. His trajectory suggests a researcher committed to solving foundational challenges in machine perception, and his early citation impact points to work that resonates deeply with both applied engineers and theoretical AI researchers. Zheng represents a promising voice in next-generation intelligent systems research.

Research Focus

Key Achievements

1
H-Index
1
Papers
40
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent robotic control system based on computer vision technology
40 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: New York University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago