Samuel Jung
Papers
1
Total Citations
2
H-Index
1
About
Samuel Jung is a robotics researcher specializing in tracked vehicle dynamics and rescue robot stability. His work focuses on the critical challenge of developing safe autonomous systems for casualty evacuation in hazardous environments, particularly for military and disaster response applications. His most cited paper, "Lumped Track Modeling for Estimating Traction Force of Vecna BEAR Type Robot" (2015), addresses the need for real-time dynamic modeling of tracked rescue robots operating on rough terrain. The research develops algorithms to estimate vehicle speed limits in various environments, preventing dangerous vibrations and rollovers that could further injure casualties being transported. This work is essential for ensuring the stability and safety of robots like the Vecna BEAR, which are designed to extract wounded soldiers from inaccessible areas. While his citation count is modest (2 citations), Jung's contributions are significant in the niche field of military medical robotics, where his lumped track modeling approach provides a foundation for real-time traction force estimation and speed limit prediction algorithms. His research directly addresses the practical challenge of minimizing human casualties in modern combat scenarios through autonomous rescue systems.
Research Focus
Key Achievements
Top Papers
- 1