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Henrik Gordon Petersen is a prominent robotics researcher whose work spans robot dynamics, motion planning, manipulation of flexible objects, and automated assembly systems. His most influential contribution, "A New Method for Estimating Parameters of a Dynamic Robot Model" (2001, 120 citations), established foundational techniques for model-based robot control, addressing the critical need for precise dynamical models in increasingly sophisticated autonomous systems. This work remains a cornerstone reference in the field of robot calibration and control. Petersen has also made significant strides in robotic vision and manipulation, developing adaptable systems capable of handling flexible objects — a notoriously challenging problem in industrial robotics — garnering 70 citations for that work alone. His research on spray-painting trajectory planning (63 citations) and efficient bin-picking motion algorithms (45 citations) demonstrates a consistent commitment to bridging theoretical robotics with real-world industrial applications. Beyond manipulation, Petersen has contributed to gripper design optimization, vision-based grasping benchmarks, and even space robotics through his involvement with the European Robotic Arm project. With a body of work accumulating nearly 500 citations, his research has meaningfully shaped modern industrial automation and continues to influence emerging directions in adaptive, intelligent robotic systems.