Alan Both

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About

Alan Both is a pioneering researcher in the field of robot-assisted orthopaedic surgery, with a primary focus on the precision and accuracy of industrial robotic systems in medical applications. His most influential work, "Milling accuracy in robot assisted orthopaedic surgery" (2002), which has garnered 19 citations, critically examined the limitations of industrial robots in surgical contexts. Both's key contribution was the development of a novel algorithm that accounts for the trajectory generator of the robot control system, addressing the insufficient accuracy of standard industrial robots for surgical milling tasks. By identifying and compensating for the inhomogeneous milling characteristics of these systems, his research laid crucial groundwork for improving robotic precision in orthopaedic procedures. This work has been instrumental in advancing the safety and reliability of computer-assisted surgery, influencing subsequent developments in surgical robotics. Both's findings remain relevant for researchers and engineers working to bridge the gap between industrial automation and the exacting demands of medical intervention, making him a notable figure in the evolution of robot-assisted orthopaedic techniques.