Nicholas Rewkowski

University of Maryland, College Park, University of North Carolina at Chapel Hill

Papers

Total Citations

H-Index

About

Nicholas Rewkowski is a researcher at the forefront of mixed reality and human-robot interaction, with a focus on enhancing immersion through novel haptic and sensory feedback systems. His work bridges virtual environments and physical robotics, addressing key challenges in user experience and autonomous navigation. Rewkowski’s most cited paper, "A Framework for Active Haptic Guidance Using Robotic Haptic Proxies" (2023, 7 citations), introduces a paradigm shift in haptic rendering by proactively guiding users rather than simply reacting to their movements, a contribution that has garnered attention for its potential to deepen presence in mixed reality. In "Audio-Visual Depth and Material Estimation for Robot Navigation" (2022, 3 citations), he tackles the difficult problem of reconstructing reflective or textureless surfaces by integrating sound reflections, offering a novel solution for robot perception in complex environments. Additionally, his work "Walk a Robot Dog in VR!" (2020, 2 citations) explores redirected walking techniques to improve locomotion realism and reduce simulator sickness, showcasing his creative approach to blending robotics with virtual reality. With a growing citation impact, Rewkowski’s research stands out for its interdisciplinary innovation, pushing boundaries in haptics, audio-visual sensing, and immersive locomotion.