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About

Nanda van der Stap is a pioneering researcher at the intersection of medical robotics and human-machine interaction, whose work is shaping the future of flexible endoscopy and teleoperation. Her primary research areas include robotic steering for colonoscopy, automated lumen centralization, and human-robot teaming in virtual reality environments. Van der Stap’s most impactful contribution is the development of a robotic platform for colonoscopy with automated lumen centralization (RS-ALC), demonstrated in a feasibility study with 29 citations, which showed that both experts and novices could perform colonoscopy more intuitively. She further advanced this field with studies on automated target centralization (8 citations) and real-time tracking algorithms for robotic endoscopy. In human-robot interaction, her 2019 paper on VR-mediated teleoperation (19 citations) revealed how environmental information affects spatial task performance and operator situation awareness. Van der Stap also explores delegation in human-machine teaming (9 citations) and adaptive object recognition for mobile robots (8 citations), showcasing her versatility. Her recent work on thermal feedback in VR robot teleoperation (6 citations) pushes the boundaries of sensory immersion. Through these innovations, van der Stap is making flexible endoscopy easier to learn and perform, while advancing the broader field of collaborative robotics.