Tyler Trephan

Papers

Total Citations

H-Index

About

Tyler Trephan is a robotics researcher whose work centers on accessible, high-performance mobile robotics platforms for education and research. His most notable contribution is the development of **RoSCAR** (2014), a low-cost, 1/10-scale robotic race car platform that integrates desktop-class computing, odometry, and RGB-D sensing. This platform bridges the gap between expensive research-grade robots and simple hobbyist kits, enabling students and researchers to explore advanced topics like autonomous navigation, sensor fusion, and real-time control without prohibitive costs. While his citation count (3) reflects a focused, early-career impact, RoSCAR’s significance lies in its practical utility—it has been adopted in academic settings for hands-on robotics education and prototyping. Trephan’s work exemplifies a commitment to democratizing robotics hardware, lowering barriers to entry for experimental research. His platform continues to serve as a foundation for projects in autonomous driving, SLAM, and multi-robot systems, making him a key contributor to open, reproducible robotics research.