Nicholas P. Anderson

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Total Citations

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About

Nicholas P. Anderson is a researcher in robotics and control theory, with a focus on trajectory optimization and contact-rich dynamics. His work addresses the fundamental challenge of modeling discrete contact events—such as collisions, sliding, and rolling—within continuous motion planning. Anderson’s most notable contribution is his case study on the Ollie, a skateboarding maneuver, which he uses to develop novel formulations for varied contact types, including elastic collisions and frictional interactions. This research bridges the gap between theoretical optimization and real-world robotic manipulation, offering insights into how robots can execute agile, contact-dependent tasks. While his citation count is modest, his work is recognized for its innovative approach to a notoriously difficult problem in robotics. Anderson’s contributions are particularly relevant for researchers in legged locomotion, dexterous manipulation, and sports robotics, where precise contact modeling is critical. His paper serves as a foundation for future studies on dynamic maneuvers involving intermittent contacts.