Haipeng Liao
Papers
10
Total Citations
76
H-Index
5
About
Haipeng Liao is an emerging researcher whose work sits at the compelling intersection of robotics, computer vision, and intelligent manufacturing. His research focuses primarily on 3D reconstruction, point cloud optimization, and autonomous path planning, with a distinctive specialization in humanoid and underwater welding robots — a technically demanding and safety-critical domain. Liao's most influential contribution, a 2024 systematic review on vision measurement and path planning for humanoid welding robots (24 citations), has quickly established itself as a key reference for next-generation intelligent manufacturing. Alongside this, his work on low-latency visual-based 3D reconstruction (17 citations) demonstrates his ability to bridge theoretical computer vision with practical robotics applications, including digital twin construction and robot pose estimation. His dedicated investigations into underwater welding robots — addressing the dual challenges of hardware deployment and AI-driven software — reflect a commitment to solving real-world problems in hazardous environments where human workers face significant risk. With contributions spanning integrated calibration methods, robot relocalization, and motion planning algorithms such as AM-RRT*, Liao has accumulated over 70 citations in a remarkably short period, signaling a rapidly growing influence in intelligent robotics research. His body of work positions him as a promising voice shaping the future of autonomous welding systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7Robot Localization and Reconstruction based on 3D Point Cloud2 citations · 2023
- 8AM-RRT*: An Automatic Robot Motion Planning Algorithm Based on RRT2 citations · 2023
- 9
- 10