Richard Leach

University of Nottingham, National Physical Laboratory

Papers

Total Citations

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About

Richard Leach is a leading figure in precision engineering and manufacturing metrology, with a particular focus on micro-scale measurement and industrial robotics. His work bridges the gap between high-accuracy instrumentation and practical automation. A key contribution is his development of a neural network separation approach for modeling static friction in industrial robots, published in 2023 and already garnering 12 citations. This method significantly improves the accuracy of nonlinear static models, a critical challenge for precise robot control. Leach also made notable strides in micro-coordinate measuring machine (CMM) technology, co-authoring a 2012 study on the semi-automated assembly of a MEMS-based micro-scale CMM probe. This work, cited 5 times, explores the optimization of assembly process chains with a view toward desktop factory automation, demonstrating his commitment to scalable, high-precision manufacturing. Leach’s research is highly influential in the fields of metrology, robotics, and micro-assembly, offering practical solutions for enhancing the accuracy and efficiency of automated systems.