Dinh Tung Le

University of Technology Sydney

Papers

3

Total Citations

18

H-Index

2

About

Dinh Tung Le is a robotics researcher whose work focuses on advancing human-robot interaction through immersive technologies, particularly virtual reality (VR) and digital twins. His primary research areas include VR-based robot control, teleoperation systems, and human-machine interfaces for hazardous environments. Le’s most cited work, “Intuitive Virtual Reality based Control of a Real-world Mobile Manipulator” (2020, 14 citations), pioneered a natural method for controlling mobile manipulators by leveraging VR’s 3D motion tracking, enabling operators to perform complex tasks with unprecedented ease. This foundational contribution has influenced subsequent studies in intuitive robot teleoperation. Building on this, Le investigated annotation-assisted remote robot control (2022), integrating point cloud processing to enhance operator precision during manipulation tasks. His most recent work, “Design, Integration, and Field Testing of a Digital Twin-Based Teleoperated Rock Scaling Robot” (2025), addresses critical safety challenges in mining by developing a digital twin system that allows operators to control rock scaling robots remotely, reducing risks to human workers. With a growing citation record and a clear trajectory toward practical, safety-critical applications, Le is establishing himself as a key contributor to the next generation of teleoperated robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
18
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Intuitive Virtual Reality based Control of a Real-world Mobile Manipulator
14 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Technology Sydney

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago