Tobias Bodewig

Papers

1

Total Citations

2

H-Index

1

About

Tobias Bodewig is a robotics researcher whose work centers on making advanced robotics more accessible through low-cost, open-source platforms. His primary research areas include system identification, state estimation, and control—with a strong emphasis on optimization-based methods. Bodewig’s major contribution is the development of a miniature car-like robot that costs under $700, integrating low-cost sensors with a sophisticated pipeline for optimization-based system identification and moving horizon estimation. This work, published in 2024, has already garnered citations for its practical approach to bridging the gap between theoretical algorithms and real-world verification. By providing an open-source platform, Bodewig enables researchers and students to test advanced control and estimation techniques without the prohibitive expense of traditional robotics hardware. His work represents a significant step toward democratizing robotics research, allowing broader participation in the field and accelerating the development of autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago