Paul Joseph

Papers

Total Citations

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About

Paul Joseph is a robotics researcher focused on advancing autonomous systems for real-world, human-centered applications. His work bridges perception, human-robot interaction, and assistive technology. He has made key contributions to the characterization of depth-sensing hardware, notably through his analysis of the PMD Flexx2 Time-of-Flight camera, where he developed noise models critical for robust robotic perception in dynamic environments. This work, published in 2024, has already garnered early citations, underscoring its relevance for agile mobile robotics. Joseph also pioneers semi-autonomous control strategies, exemplified by his development of a gaze-guided quadruped robot designed to enhance assisted living for individuals with mobility challenges. This innovative system leverages intuitive human input to navigate unstructured domestic spaces, addressing the significant gap between industrial automation and in-home robotic aid. With over 3 citations on his most recent papers, Joseph’s research is gaining traction for its practical impact on safe, accessible, and intelligent robotic assistance.