Tongji Luo

University of California San Diego

Papers

1

Total Citations

3

H-Index

1

About

Tongji Luo is a researcher specializing in robotics, control systems, and multidisciplinary design optimization. His work focuses on the development and control of underactuated robotic systems, which operate with fewer actuators than degrees of freedom, presenting unique challenges in precision and efficiency. Luo’s most notable contribution is his 2019 paper on the optimal control and design of an underactuated ball-pitching robotic arm, where he applied large-scale multidisciplinary optimization to achieve high-performance motion planning and structural design. This work demonstrates his ability to integrate control theory, mechanical design, and optimization algorithms to solve complex engineering problems. With 3 citations, this paper has laid groundwork for further studies in underactuated robotics and automation. Luo’s research is particularly relevant for students and engineers interested in advanced robotics, mechatronics, and the intersection of design and control. His approach highlights the importance of holistic optimization in creating efficient, functional robotic systems, making his contributions valuable for both academic exploration and practical applications in fields like manufacturing, sports robotics, and autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Optimal control and design of an underactuated ball-pitching robotic arm using large-scale multidisciplinary optimization
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of California San Diego

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago