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About

Friedrich Lange is a leading figure in the advancement of industrial robotics, with a career dedicated to solving the fundamental challenges of precision, speed, and safety in automated manufacturing. His core research areas encompass force and trajectory control, sensor-guided motion, and learning-based feedforward compensation. Lange’s most significant contribution is the development of "path-accurate" trajectory generation for jerk-limited robots, a method that ensures robots follow a desired path with high fidelity even under strict velocity, acceleration, and jerk constraints—a critical requirement for high-speed assembly and machining. His work on position-based force control, which leverages the robot's existing position loop for compliant interaction, has been highly influential, with his 2013 paper on the topic garnering 47 citations. Lange also pioneered predictive visual tracking for high-speed line following and input shaping to dampen oscillations in compliant force sensors. Notably, he demonstrated the practical application of his research by developing a sensor-driven system for autonomously assembling wheels onto continuously moving car bodies, a complex task previously reserved for human workers. With over 200 total citations, Lange’s work has provided the theoretical and practical foundations for making industrial robots more accurate, adaptable, and reliable in real-world production environments.