Papers
9
Total Citations
69
H-Index
4
About
Ting Li is a researcher specializing in intelligent robotics, 3D computer vision, and autonomous welding systems, with particular expertise in humanoid and underwater welding robots. His work sits at the intersection of advanced perception, reconstruction, and motion planning, addressing real-world challenges in industrial automation and marine maintenance. Li's most significant contributions center on 3D reconstruction and visual sensing for robotic welding applications. His highly cited 2024 systematic review on vision measurement and path planning for humanoid welding robots (24 citations) has become a key reference for researchers entering this rapidly evolving field. Complementing this, his work on underwater humanoid welding robots (10 citations) synthesizes artificial intelligence applications to tackle the dual hardware-software challenges of hazardous subsea environments. His 2023 paper on low-latency point cloud optimization (17 citations) demonstrates his broader contributions to real-time 3D reconstruction for robot pose estimation and digital twins. Beyond perception, Li has advanced robot motion planning through algorithms such as AM-RRT* and explored genetic algorithm-based assembly sequencing. Collectively accumulating over 60 citations, his research portfolio reflects a consistent commitment to making robotic welding systems more flexible, intelligent, and deployable in demanding environments — work of growing relevance as industries pursue automated solutions for dangerous manual tasks.
Research Focus
Key Achievements
Top Papers
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- 6AM-RRT*: An Automatic Robot Motion Planning Algorithm Based on RRT2 citations · 2023
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