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About

Charles P. Neuman is a pioneering robotics researcher whose career has been defined by foundational contributions to robot kinematics, dynamics, and sensor-based control systems. Working primarily at Carnegie Mellon University's Robotics Institute, Neuman has shaped how engineers model, control, and deploy both stationary manipulators and mobile robotic platforms. His most influential work, "Dynamic Sensor-Based Control of Robots with Visual Feedback" (1987, 822 citations), established a hierarchical framework for multilevel visual feedback control that remains a touchstone in the field. Alongside this, his kinematic modeling of wheeled mobile robots — encompassing conventional, omnidirectional, and ball wheel configurations — generated hundreds of citations and provided the theoretical scaffolding for generations of mobile robotics research, including the development of Uranus, CMU's omnidirectional robot platform. Neuman also made significant contributions to robot calibration through arm signature identification, discrete dynamic modeling for real-time control, and the symbolic algebraic modeling tool ARM, which streamlined Lagrangian dynamic analysis. His work on adaptive image-based visual servoing further extended his influence into intelligent, perception-driven control. With multiple papers exceeding 100 citations and a career spanning over three decades, Neuman's research has profoundly influenced both the theoretical foundations and practical implementation of modern robotics.