Kyle Hart

Naval Air Warfare Center Training Systems Division, Lehigh University, Stevens Institute of Technology

Papers

Total Citations

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About

Kyle Hart is a robotics researcher whose work bridges low-cost hardware innovation and cutting-edge perception for autonomous navigation. His key research areas include mobile robotics, simultaneous localization and mapping (SLAM), and autonomous systems for constrained environments. Hart’s major contributions center on making advanced robotics accessible and robust. He developed the RoSCAR platform (2014), a low-cost, high-performance mobile robot based on a 1/10-scale race car, integrating desktop-class computing, odometry, and RGB-D sensing for educational and research use. This work, with 3 citations, has enabled broader experimentation in autonomous driving. More recently, Hart advanced monocular SLAM (2023) by leveraging ground textures for reliable localization in feature-sparse or poorly lit environments, achieving 3 citations for its robustness. His 2018 work on autonomous swarm parking for aircraft carriers (3 citations) tackles complex coordination in high-stakes settings. Hart’s most cited paper (2021, 4 citations) addresses automatic generation of synthetic data for machine learning using ROS, streamlining training data creation. With a focus on practical, scalable solutions, Hart’s research empowers students and researchers to explore autonomous systems without prohibitive costs.