Hangbin Zheng

Donghua University

Papers

3

Total Citations

14

H-Index

3

About

Hangbin Zheng is a pioneering researcher in human-robot collaboration and intelligent disassembly systems, with a focus on sustainable recycling technologies for end-of-life power batteries and electronic waste. His work integrates augmented reality (AR), scene perception, and advanced computer vision to address critical challenges in automated disassembly—a field where manual processes suffer from low efficiency, high costs, and safety risks. Zheng’s most cited paper (2023, 6 citations) introduces an MR-assisted scene perception system that enhances human-robot collaborative disassembly, enabling adaptive, real-time responses in complex environments. His 2024 study (5 citations) proposes a novel knowledge transfer method using AR to bridge human memory limitations and robot cognitive gaps, significantly improving disassembly accuracy for diverse battery types. More recently (2025, 3 citations), he developed a pose estimation approach for recycling discarded stacked smartphones, combining instance segmentation and point cloud registration. With a growing citation impact, Zheng’s contributions are pivotal in advancing circular economy goals, making hazardous waste processing safer, more efficient, and scalable through intelligent automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A MR-Assisted and Scene Perception System for Human-Robot Collaborative Disassembly of Power Batteries
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Donghua University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago