Tyson Zastrow

Papers

Total Citations

H-Index

About

Tyson Zastrow’s research centers on accessible, hands-on robotics education and algorithmic problem-solving, with a focus on bridging theory and practical implementation. His most notable contribution is the CHARM platform, introduced in his 2014 paper, which provides a standardized, low-cost robotics framework for teaching and researching core concepts like kinematics, dynamics, perception, motion planning, controls, and optimization. By using autonomous sorting of moving coins as a multi-level task, Zastrow created a scalable, reproducible system that allows students and researchers to explore complex robotics fundamentals without expensive equipment. Though his citation count is modest—his key work has garnered 2 citations—the impact of CHARM lies in its pedagogical value and potential for broad adoption in academic settings. Zastrow’s work exemplifies a commitment to democratizing robotics education, making advanced topics more tangible for learners. His platform stands as a thoughtful tool for those entering the field, emphasizing that meaningful robotics research can begin with simple, widely obtainable objects.