Carlos Hansen

Papers

Total Citations

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About

Carlos Hansen is a robotics researcher whose work centers on the modeling, calibration, and dynamic control of robot manipulators. His most significant contribution is the development of AURT, an open-source software tool introduced in his 2022 paper, which has already garnered 6 citations. AURT revolutionizes the calibration process by separating robot dynamics into rigid-body and joint dynamics, enabling faster recalibration without starting from scratch—a critical advancement for industrial and research robots that require frequent retooling. This modular approach reduces downtime and improves accuracy in real-world applications. Hansen’s work bridges the gap between theoretical dynamics and practical deployment, making high-fidelity calibration accessible to the broader robotics community. By open-sourcing AURT, he has empowered engineers and researchers to customize and extend calibration methods, accelerating progress in robot performance optimization. His contributions are particularly valuable for collaborative and adaptive robotics, where precise dynamics are essential for safe and efficient human-robot interaction.