Papers

5

Total Citations

52

H-Index

4

About

Thomas Jung is a robotics and simulation researcher whose work bridges the gap between theoretical modeling and practical applications in mobile robotics, space exploration, and virtual environment development. His research focuses primarily on space robotics, motion planning, and physics-based simulation frameworks, with a particular emphasis on developing virtual testbeds that enable safe, cost-effective testing of robotic systems in challenging environments. Jung's most influential contribution, "Optimal Motion Planning of a Space Robot with Base Disturbance Minimization" (2011, 24 citations), addresses a critical challenge in orbital robotics — controlling manipulator motion while minimizing unwanted disturbances to the spacecraft base. This work has become a meaningful reference point for space robotics engineers navigating this complex dynamic problem. His sustained interest in lunar exploration is evident through multiple publications developing virtual crater environments and extraterrestrial legged robot simulations, reflecting the growing importance of simulation-driven design in planetary exploration missions. Jung's advocacy for reusable, rigid multi-body dynamics simulation components highlights a pragmatic, scalable approach to virtual reality application development. Collectively, his portfolio of 52 citations demonstrates a researcher quietly shaping best practices in how robotics engineers prototype and validate systems destined for some of the most demanding environments imaginable — the lunar surface and outer space.

Research Focus

Key Achievements

4
H-Index
5
Papers
52
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Motion Planning of a Space Robot with Base Disturbance Minimization
24 citations · 2011
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: German Research Centre for Artificial Intelligence, RWTH Aachen University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago