Papers
2
Total Citations
16
H-Index
2
About
Li Gong’s research focuses on the intersection of robotics, automation, and intelligent control, with a particular emphasis on cable-based parallel robots and coordinated multi-robot systems. His major contributions include pioneering work on pick-and-place trajectory planning for cable-based gangue-sorting robots, where he developed robust adaptive fuzzy tracking control methods to handle model uncertainties and external disturbances—critical for real-world waste sorting in mining environments. This work, published in 2022, has already garnered 11 citations, reflecting its relevance to industrial automation. Earlier, Gong contributed to coordinated path planning using the Rapidly-exploring Random Tree (RRT) algorithm, enabling two robots to collaboratively navigate static obstacles and locate targets—a foundational study in multi-robot coordination that has received 5 citations. His research addresses pressing challenges in robotic manipulation under uncertainty, with applications in sorting, manufacturing, and logistics. Gong’s work stands out for its practical focus on robust control and adaptive systems, making him a notable figure in the field of intelligent robotics and automation engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Coordinated Path Planning Based on RRT Algorithm for Robot5 citations · 2014