Simon Goulder

Papers

Total Citations

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About

Simon Goulder’s research lies at the intersection of robotics, adaptive control, and human-robot interaction, with a particular focus on enabling machines to handle uncertainty in physical tasks. His most-cited work, “Adaptive grip control on an uncertain object” (2012, 6 citations), tackles a deceptively simple yet profound challenge: how a robot can maintain a stable grip on objects with unpredictable dynamics—such as a pulsating artery, a steering wheel on rough terrain, or even a live hamster—without causing damage or losing hold. This contribution is notable for bridging the gap between rigid robotic manipulation and the fluid, adaptive control humans take for granted. Goulder’s approach emphasizes real-time impedance adjustment, allowing robots to respond to changing forces and object properties. While his citation count reflects a niche but growing field, his work has implications for medical robotics, autonomous driving, and assistive technologies. By addressing the “uncertain object” problem, Goulder has laid groundwork for safer, more intuitive robotic systems that can operate alongside humans in unpredictable environments—a key step toward truly adaptive automation.