Stephen Monk
Papers
16
Total Citations
301
H-Index
10
About
Stephen Monk is a robotics and control systems researcher whose work centres on advanced robotic manipulation, autonomous systems, and nuclear decommissioning applications. He is best known for his sustained contributions to the development of hydraulically actuated dual-arm robotic platforms designed to operate safely in hazardous nuclear environments, a research challenge demanding both precise modelling and robust real-world performance. Monk's most influential contributions lie in dynamic modelling and parameter estimation for complex robotic systems. His pioneering application of multi-objective genetic algorithms to a seven degree-of-freedom hydraulic manipulator — cited 72 times — established a powerful framework for tackling uncertain system parameters, while a companion study garnered a further 41 citations. His work on vision-based assisted teleoperation (48 citations) demonstrated how visual servoing can dramatically improve operator effectiveness in remote, dangerous settings such as pipe cutting and grasping tasks. Beyond manipulation, Monk has explored continuum robots with adjustable stiffness, state-dependent parameter identification for dead-zone control, and worm-like pipe inspection robots, reflecting a broadening interest in soft and bio-inspired robotic systems. Collectively accumulating over 270 citations, his body of work has meaningfully advanced the field of nuclear robotics, offering practical, intelligent solutions for some of the most challenging decommissioning tasks facing the industry today.
Research Focus
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