Muyao Tan

Wuhan University of Technology

Papers

2

Total Citations

9

H-Index

2

About

Muyao Tan is a rising researcher at the forefront of sustainable manufacturing and circular economy innovation. Their work centers on human–robot collaborative disassembly, a critical enabler for remanufacturing end-of-life (EoL) products—from general electronics to electric vehicle (EV) batteries. Tan’s major contributions include developing intelligent task allocation and sequence planning methods using the Bees Algorithm, which optimizes the flexible, semi-automated disassembly of EoL products to maximize resource recovery and environmental benefit. Their 2024 paper on this topic has already garnered 7 citations, signaling its growing influence. In their most recent 2025 work, Tan tackles the urgent challenge of EV battery recycling, proposing a robotic system for the safe removal and collection of screws during collaborative disassembly—a key step in handling the inherent uncertainties and instability of spent batteries. This research directly supports the transition to a circular economy by making remanufacturing more efficient and scalable. Tan’s focus on real-world, high-impact problems positions them as a notable voice in sustainable manufacturing, with work that promises to shape how industries approach end-of-life product recovery.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Task Allocation and Sequence Planning for Human–Robot Collaborative Disassembly of End-of-Life Products Using the Bees Algorithm
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Wuhan University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago