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About

Ronald Bucinell is a prominent researcher in robotics and mechatronics, with a primary focus on kinematics, dynamics, and non-destructive testing for industrial automation. His work centers on anthropomorphic robotic systems, inverse kinematics, and the application of robotic manipulators in aerospace manufacturing. Bucinell’s major contributions include developing original trigonometric methods for solving inverse kinematics in anthropomorphic robots, which enable precise control of robotic arms for complex tasks. He also pioneered a novel approach to determining the dynamics of cam mechanisms using Lagrange equations, offering a variable internal degree-of-freedom model. In the aerospace industry, Bucinell advanced non-destructive testing by designing a TTT manipulator that automatically positions eddy-current probes and sensor systems for inspecting critical components. His most-cited papers, including “Testing by Non-Destructive Control” (48 citations) and “Inverse Kinematics at the Anthropomorphic Robots, by a Trigonometric Method” (46 citations), have collectively garnered over 220 citations since 2017, reflecting their influence on robotic design and industrial quality control. Bucinell’s work is notable for its original, systematic treatment of robotic solid structures and mechatronic systems, providing foundational methods for velocity and acceleration analysis in 3R configurations. His research continues to shape modern automation and robotic precision in high-stakes manufacturing environments.