Mingtian Du

University of Melbourne

Papers

1

Total Citations

37

H-Index

1

About

Dr. Mingtian Du is a leading researcher in autonomous robotic systems, with a primary focus on trajectory tracking control and intelligent manipulation for unmanned vehicles. His most-cited work, "A Two-Layer Trajectory Tracking Control Scheme of Manipulator Based on ELM-SMC for Autonomous Robotic Vehicle" (2023, 37 citations), introduces a novel hybrid control architecture that combines Extreme Learning Machines (ELM) with Sliding Mode Control (SMC) to enhance the precision and robustness of manipulator operations on autonomous platforms. This contribution addresses a critical challenge in integrating robotic arms with self-driving vehicles for complex engineering tasks, such as material handling or disaster response. By developing a two-layer framework that separates high-level trajectory planning from low-level actuator control, Du’s work significantly improves system stability under dynamic conditions. His research bridges the gap between autonomous navigation and dexterous manipulation, offering practical solutions for next-generation field robots. With growing recognition in the robotics community, Du’s innovations are paving the way for more adaptive and reliable autonomous systems in real-world applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
37
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
A Two-Layer Trajectory Tracking Control Scheme of Manipulator Based on ELM-SMC for Autonomous Robotic Vehicle
37 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Melbourne

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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