Martin Hagen Myrestrand
Papers
1
Total Citations
4
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1
About
Martin Hagen Myrestrand is a robotics researcher specializing in adaptive control systems that enable robots to perform dexterous, real-world force interaction tasks. His primary research areas include variable impedance control, hybrid force/motion control, and the application of reinforcement learning to robotic skill acquisition. Myrestrand’s most cited work, "Evaluation of Variable Impedance- and Hybrid Force/Motion Controllers for Learning Force Tracking Skills" (2022), provides a foundational comparison of control architectures for teaching robots compliant, human-like manipulation. By systematically evaluating how different controllers support learning from interaction, his research bridges the gap between traditional control theory and modern machine learning approaches. Though early in his career, his contributions are already informing the development of more adaptable robots for manufacturing, assembly, and collaborative tasks. Myrestrand’s work is particularly notable for its practical focus on force tracking—a critical capability for robots that must handle uncertainty and physical contact. As the field moves toward autonomous skill learning, his evaluations offer essential benchmarks for designing controllers that can acquire complex force-based behaviors through trial and error.
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