Irantzu Uriarte

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About

Irantzu Uriarte is a researcher at the forefront of surgical robotics and autonomous mobile systems, with a focus on enhancing precision and safety in medical and robotic applications. Her primary research areas include force control in neurosurgery and relative positioning for autonomous robots. Uriarte’s most notable contribution is her pioneering work on robotic-arm-based force control in neurosurgical practice, where she proposed an optimal speed shape for robotic arms to minimize a cost functional using an adaptive scheme for brain tissue force estimation—a concept previously unexplored in literature. This 2023 study has garnered 3 citations, highlighting its emerging impact. Additionally, her 2020 work on relative positioning for autonomous mobile robots using linear regression techniques, with 2 citations, demonstrates her versatility in advancing robotic autonomy. Uriarte’s innovative approach bridges theoretical gaps and practical applications, offering safer, more efficient solutions for delicate surgical procedures and mobile robot navigation. Her research holds promise for transforming neurosurgical outcomes and autonomous systems, marking her as a rising contributor to the field.