Tobias Groll
Papers
1
Total Citations
9
H-Index
1
About
Tobias Groll is a robotics researcher whose work focuses on the intersection of autonomous systems and high-fidelity simulation. His primary research areas include robotic simulation environments, autonomous navigation in unstructured settings, and the application of game-engine technology to robotics testing. Groll’s most notable contribution is his pioneering use of Unreal Engine 4 to create realistic, real-world quality simulations for complex autonomous robots, enabling robust testing in environments that are difficult or dangerous to replicate physically. His 2020 paper, "Evolution of Robotic Simulators: Using UE 4 to Enable Real-World Quality Testing of Complex Autonomous Robots in Unstructured Environments," has garnered 9 citations, reflecting its foundational role in advancing simulation-based validation for robotics. This work bridges the gap between virtual and physical testing, offering a scalable solution for developing reliable autonomous systems. Groll’s research is particularly impactful for students and engineers seeking to integrate cutting-edge simulation tools into robotics development, as it demonstrates how accessible game engines can transform the testing and deployment of autonomous technologies in challenging, real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1