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About

Norman Hendrich is a prominent robotics researcher whose work spans robot manipulation, inverse kinematics, teleoperation, and human-robot interaction. Based at the University of Hamburg, he has made significant contributions to solving some of the field's most challenging computational and physical problems. Hendrich's foundational work in inverse kinematics stands out particularly, with his memetic evolutionary algorithm (2018, 83 citations) offering a flexible and efficient solution for full-body motion planning across complex robotic systems, including humanoids and multi-fingered hands. This line of research, extended through multi-objective evolutionary approaches (2017, 36 citations) and specialized cost functions (2018, 43 citations), has established him as a leading voice in robot motion generation. His work equally addresses the human side of robotics: a learning-based framework for socially-aware indoor navigation (2020, 75 citations) and multiple dexterous teleoperation systems (2020, 68 citations; 2022, 39 citations) demonstrate his commitment to deploying robots in real-world human environments. His multimodal reinforcement learning approach to grasping (2021, 45 citations) and accessible 3D-printed force-torque sensors (2020, 39 citations) further reflect a practical, impact-driven research philosophy. Early contributions in sensor fusion (2010, 34 citations) and assistive robotics for elderly care (2015, 35 citations) underscore a career-long dedication to socially meaningful, technically rigorous robotics research.