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Jose Guivant is a Senior Lecturer in the School of Mechanical and Manufacturing Engineering at the University of New South Wales (UNSW), specializing in mechanical engineering with a focus on manufacturing. His research interests include Stochastic Data Fusion, Gaussian estimators, high dimensional estimation problems, and various elements of localization and mapping, including SLAM and Stochastic Partial Differential Equations. He also works on dynamic programming applied to non-linear control and motion planning, and has expertise in real-time implementations and perception data fusion technologies. Guivant has contributed to advancing methodologies for both indoor and outdoor 3D mapping as well as optimizing semi-autonomous operation of vehicles through innovative use of GPS, inertial systems, and dead-reckoning methodologies. With experience in teaching core subjects such as 'Advanced Autonomous Systems' and 'Robot Design' for 4th-year Mechatronic Engineering students, he plays a key role in shaping the educational framework in this rapidly evolving field.
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