Michael F. Jantsch

Technical University of Munich, Embedded Systems (United States)

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Total Citations

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About

Michael F. Jantsch is a leading researcher in the field of anthropomimetic and tendon-driven robotics, with a focus on bridging the gap between biological inspiration and physical simulation. His major contributions center on the development of novel physics-based modeling and simulation frameworks for highly complex, human-like robot architectures. Jantsch is best known for creating **CALIPER**, a universal robot simulation framework specifically designed for tendon-driven robots, which has become a foundational tool for controller design and optimization in the field (23 citations). His work challenges traditional robotic control paradigms by proposing fundamentally different approaches that move away from conventional revolute joint models, instead embracing the complexity of elastic, tendon-driven systems to achieve more lifelike and adaptable movement. With a total of 39 citations across his most influential papers, Jantsch’s research is critical for advancing the control of bio-inspired robots, offering a path toward more robust and compliant machines. His achievements represent a significant step in making anthropomimetic robots—those that mimic human skeletal and muscular structure—a practical reality for real-world applications.