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About

M.C. Good is a pioneering researcher in robotics and motion control systems, whose foundational work in the 1980s fundamentally reshaped how engineers approach the design and control of industrial robots. Best known for redefining the robot motion control problem, Good challenged prevailing assumptions by emphasizing realistic plant dynamics, drive system constraints, and end-effector sensing — insights captured in two highly influential papers from 1984 and 1985 that together have garnered over 350 citations. His landmark 1985 work on dynamic models for integrated robot and drive systems (317 citations) provided the analytical and experimental framework necessary for designing high-performance motion controllers, particularly addressing the complex interactions between electromechanical drives and compliant linkages. Good's contributions extend into applied robotics, including a widely cited study on controlling tool-workpiece contact forces for robotic deburring, demonstrating his ability to bridge theory and industrial practice. His later research explored visual servoing, tackling real-world challenges such as time delay, perspective-induced gain variation, and structural vibration in camera-guided robotic systems. With a body of work spanning nearly two decades and accumulating nearly 900 citations, Good's research has left a lasting imprint on robot control theory and the practical deployment of intelligent robotic systems in manufacturing environments.