Kerun Li
Papers
1
Total Citations
9
H-Index
1
About
Kerun Li is a leading researcher at the intersection of artificial intelligence, robotics, and advanced manufacturing, with a core focus on human-robot collaboration and intelligent assembly systems. His most cited work, "Integration of dynamic knowledge and LLM for adaptive human-robot collaborative assembly solution generation" (2025, 9 citations), pioneers a novel framework that leverages large language models to dynamically generate adaptive assembly solutions in real-time, bridging the gap between static automation and flexible, human-aware robotic systems. This contribution is pivotal for Industry 5.0, enabling robots to understand and respond to changing task contexts and human intentions without extensive reprogramming. Li’s research stands out for its practical integration of knowledge graphs with LLMs, offering a scalable path toward truly collaborative manufacturing environments. His work has already garnered attention for its potential to reduce setup times and enhance safety in human-robot workspaces. As a rising scholar, Kerun Li is shaping the future of smart manufacturing, where robots are not just tools but intelligent partners in complex assembly tasks.
Research Focus
Key Achievements
Top Papers
- 1