Alexander Hansson
Papers
1
Total Citations
2
H-Index
1
About
Alexander Hansson is a robotics researcher whose work centers on making advanced robotics more accessible through low-cost, optimization-driven systems. His primary research areas include system identification, moving horizon estimation, and affordable robotic platforms. Hansson's major contribution lies in demonstrating that sophisticated control and estimation pipelines—traditionally requiring expensive hardware—can be effectively implemented using sub-$700 components. His most-cited paper, "Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot" (2024), introduces an open-source miniature car-like robot that integrates optimization-based system identification and state estimation with low-cost sensing. This work has already garnered 2 citations, signaling its growing influence in the field of accessible robotics. By providing a complete, reproducible pipeline for verification of advanced algorithms, Hansson empowers students and researchers to experiment with cutting-edge techniques without prohibitive costs. His achievements underscore a commitment to democratizing robotics research, bridging the gap between theoretical optimization methods and practical, budget-friendly experimentation.
Research Focus
Key Achievements
Top Papers
- 1