Jonas Wahlen
Papers
1
Total Citations
2
H-Index
1
About
Jonas Wahlen is a researcher in robotics and control systems, with a focus on optimization-based system identification, state estimation, and low-cost sensing for autonomous platforms. His major contribution lies in developing accessible, high-performance robotics pipelines that bridge the gap between theoretical algorithms and practical, budget-constrained hardware. His most cited work, “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—costing under $700—that integrates optimization-based system identification, moving horizon estimation, and control. This platform significantly lowers the barrier to verifying advanced robotics algorithms, enabling students and researchers to experiment with state-of-the-art techniques without expensive equipment. While his citation count is still growing, Wahlen’s work has already been recognized for its practical impact, offering a reproducible, low-cost testbed for autonomous navigation research. His contributions are particularly valuable for democratizing robotics research and accelerating the development of real-world autonomous systems.
Research Focus
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Top Papers
- 1