Daiyong Lin
Papers
1
Total Citations
2
H-Index
1
About
Daiyong Lin is a researcher in robotics and mechanical engineering, with a primary focus on the design and optimization of in-pipe inspection and maintenance robots. His most cited work, "DYNAMICAL MODELLING AND STRUCTURAL PARAMETER OPTIMIZATION OF A NOVEL SPIRAL IN-PIPE ROBOT" (2016), introduces an innovative spiral locomotion mechanism for navigating complex pipe environments. This paper, with 2 citations, establishes a foundational framework for modeling the dynamics of such robots and systematically optimizing their structural parameters to enhance mobility and stability. Lin’s contributions lie in bridging theoretical dynamical analysis with practical robotic design, offering a systematic approach to improving the efficiency of in-pipe robots—a critical need for industries like oil, gas, and water infrastructure. While his citation count is modest, his work represents a targeted effort to solve a niche but important engineering challenge, demonstrating a commitment to advancing robotic solutions for confined-space operations. For students and researchers in robotics, Lin’s research underscores the value of integrating dynamic modeling with optimization to create more reliable and effective autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1