Liangliang Duan
Papers
1
Total Citations
6
H-Index
1
About
Liangliang Duan is a pioneering researcher at the intersection of human-robot collaboration, intelligent manufacturing, and sustainable engineering. His work addresses critical challenges in the disassembly of end-of-life power batteries—a key bottleneck in the circular economy of electric vehicles. Duan’s most cited paper, “A MR-Assisted and Scene Perception System for Human-Robot Collaborative Disassembly of Power Batteries” (2023, 6 citations), introduces a novel framework that combines mixed reality (MR) with real-time scene perception to overcome the rigidity of pre-programmed robotic systems. This innovation enables robots to adapt dynamically to unstructured environments, significantly improving the safety, efficiency, and cost-effectiveness of battery recycling. By bridging the gap between manual dexterity and robotic precision, Duan’s work lays the groundwork for scalable, human-centric automation in hazardous industrial settings. His research has immediate implications for reducing electronic waste and advancing green manufacturing, earning him recognition as a rising voice in sustainable robotics. For students and researchers, Duan’s contributions exemplify how cutting-edge human-robot interaction can solve real-world environmental and industrial problems.
Research Focus
Key Achievements
Top Papers
- 1