Daniela Jucan

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About

Daniela Jucan is a researcher at the forefront of medical robotics, specializing in rehabilitation and precision surgical assistance. Her work bridges the gap between industrial automation and clinical care, with a primary focus on developing robotic systems for upper limb rehabilitation and minimally invasive procedures. In her most cited work, "UPPER LIMB REHABILITATION WITH A COLLABORATIVE ROBOT" (2019), Jucan pioneered the use of a standard industrial collaborative robot for therapeutic applications, demonstrating how accessible robotic platforms can be repurposed for patient recovery—a contribution that has garnered 3 citations and opened new avenues for cost-effective rehabilitation technology. She further advanced the field with her 2017 study on the control system of a medical parallel robot for transperineal prostate biopsy, where she validated closed-loop control mechanisms through virtual modeling, achieving 2 citations for enhancing precision in cancer diagnostics. Jucan’s work is notable for its practical integration of kinematic parameters into real-world clinical tools, showcasing her ability to translate complex robotic theory into tangible medical solutions. Her research stands as a testament to the growing synergy between robotics and healthcare, offering students and engineers a blueprint for innovation in assistive and surgical technologies.