Xiangyun Zhao

Tianjin University of Commerce

Papers

3

Total Citations

12

H-Index

2

About

Xiangyun Zhao is a pioneering robotics researcher whose work centers on two transformative areas: energy-efficient industrial automation and reconfigurable multimodal locomotion. His most impactful contribution is a data-driven framework that predicts and optimizes industrial robot energy consumption under unknown load conditions, a breakthrough that addresses a critical gap in manufacturing sustainability. This 2024 paper, already garnering 7 citations, demonstrates how multi-layer perception models can be adapted for real-world variability, offering manufacturers a practical tool to reduce energy waste without sacrificing productivity. Zhao’s second major thrust is in reconfigurable robotics, where he has designed novel platforms that seamlessly integrate rolling, crawling, and flying capabilities. His 2024 work on a reconfigurable robot with rolling and flying locomotion (4 citations) and his 2025 follow-up introducing a compact foldable mechanism for all three modes (1 citation) represent significant advances in field robotics. By engineering passive gear-driven foldable wheels and lightweight airframes, Zhao enables robots to adapt to complex environments—from factory floors to disaster zones—without sacrificing efficiency. His research, bridging control theory, mechanism design, and data science, is shaping the next generation of versatile, energy-conscious autonomous systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Data-Driven Method for Predicting and Optimizing Industrial Robot Energy Consumption Under Unknown Load Conditions
7 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Tianjin University of Commerce

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago