Kelilah L. Wolkowicz

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About

Kelilah L. Wolkowicz is a researcher whose work sits at the critical intersection of assistive robotics and medical device innovation, focusing on enhancing safety and precision in real-world applications. Her primary research areas include autonomous navigation for powered wheelchairs and the development of novel medical instrumentation. A major contribution is her work on negative obstacle detection, where she developed a LiDAR-based algorithm for robotic wheelchairs to identify dangerous terrain depressions like descending stairwells and curb drop-offs—a highly challenging problem in autonomous navigation. This research, published in 2018, has garnered 6 citations for addressing a critical safety gap. Wolkowicz has also made significant strides in medical robotics, designing a novel pneumatic device for high-speed needle insertion in brachytherapy cancer treatment (2013, 5 citations), targeting the need for precise needle placement in procedures like lumbar puncture and biopsy. Additionally, her 2019 work on an instantaneous center of rotation-based Extended Kalman Filter (4 citations) enables online estimation of wheelchair tire slip on low-friction surfaces, directly improving user safety. Through these contributions, Wolkowicz demonstrates a commitment to translating advanced robotics and control theory into tangible solutions that improve quality of life and clinical outcomes.