Haiwei Huang
Papers
1
Total Citations
2
H-Index
1
About
Haiwei Huang is a researcher whose work bridges computer vision and robotics, with a primary focus on three-dimensional reconstruction and intelligent path planning. His most cited paper, "Design of three-dimensional reconstruction and robot path planning based on kinect system" (2017), tackles the challenge of enabling robots to perceive and navigate complex environments. In this work, Huang developed a method for creating 3D models using Kinect sensors and then applied an improved ant colony algorithm (IACA) to optimize robot path planning around obstacles. This contribution is significant for advancing autonomous navigation in unstructured settings, offering a practical, low-cost solution for real-time spatial mapping and efficient route generation. While his citation count is modest, the work demonstrates a clear integration of sensing and algorithmic innovation. Huang’s research is particularly valuable for students and engineers interested in the intersection of depth sensing, 3D modeling, and robotic autonomy, providing a foundational approach that can be extended to applications in service robotics, warehouse automation, and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1