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About

Natalie Burkhard is a robotics researcher whose work bridges the gap between surgical precision and intelligent automation. Her primary research areas include robot-assisted surgery (RAS), haptic feedback, and medical robotics, with a particular focus on improving tool-tissue interactions. Her most influential work, a 2017 paper on a rolling-diaphragm hydrostatic transmission for MR-guided needle insertion (31 citations), addresses the critical challenge of performing precise interventions within the confined space of an MRI scanner—a breakthrough that could transform image-guided biopsies. Burkhard has also made significant contributions to slip sensing, a crucial capability for safe tissue manipulation. Her 2018 paper on slip sensing for improved grasping in RAS (23 citations) and her 2019 work on the role of tissue slip feedback (8 citations) explore how intelligent systems can help surgeons maintain reliable, atraumatic grasps on delicate biological tissue. Beyond surgery, her research extends to industrial applications, including contact event detection for robotic oil drilling (7 citations). With over 70 total citations, Burkhard’s work is shaping the future of both medical and industrial robotics, demonstrating how advanced sensing and actuation can enhance safety and performance in high-stakes environments.