Tuxian Ye

Beijing University of Technology

Papers

1

Total Citations

2

H-Index

1

About

Tuxian Ye is a researcher focused on the design and dynamic modeling of advanced robotic systems, with a particular emphasis on chain telescopic mechanisms. Their most-cited work, "Design and Dynamic Modelling of Chain Telescopic Robot" (2022), introduces innovative approaches to extending robotic reach and flexibility through telescopic structures, addressing key challenges in industrial automation and manipulation tasks. While this paper has garnered 2 citations, it represents a foundational contribution to the field, demonstrating Ye's ability to integrate mechanical design principles with dynamic analysis for practical robotic applications. Their research holds promise for enhancing the performance of robots in confined spaces or long-reach operations, such as in construction, maintenance, or exploration. Ye's work contributes to the broader goal of creating more adaptable and efficient robotic systems, and their focus on dynamic modeling ensures that these designs are not only structurally sound but also optimized for real-world motion control. As a researcher, Ye is building a reputation for tackling complex mechanical-robotic interfaces, laying groundwork for future innovations in telescopic robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design and Dynamic Modelling of Chain Telescopic Robot
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago