DING Lili
Papers
1
Total Citations
3
H-Index
1
About
Dr. Lili Ding is a pioneering researcher in intelligent robotics and automation, with a specialized focus on advanced control systems for industrial applications. Her primary research areas encompass reinforcement learning-based control algorithms, robotic manipulation, and smart sorting technologies for the mining and resource recovery sectors. Dr. Ding’s most notable contribution is her groundbreaking work on the intelligent control of coal gangue sorting robot arms, where she developed a novel reinforcement learning framework that overcomes the limitations of traditional control methods—such as the grasping function and Ferrary-based algorithms—which rely on rigid environmental models and lack adaptability. Her 2021 paper on this topic, which has garnered 3 citations, addresses critical challenges in dynamic target grasping and adaptive control, offering a more robust, self-learning solution for real-world sorting tasks. This work holds significant promise for improving efficiency and reducing waste in coal processing, showcasing Dr. Ding’s ability to bridge theoretical AI advancements with practical industrial needs. Her research continues to inspire innovations in autonomous robotic systems, making her a rising voice in the field of intelligent control engineering.
Research Focus
Key Achievements
Top Papers
- 1