Will Anderson
Papers
3
Total Citations
75
H-Index
3
About
Will Anderson is a researcher specializing in marine robotics and autonomous surface vehicles, with a particular focus on the Wave Glider — an innovative wave-powered autonomous platform that harnesses ocean energy for propulsion. His work sits at the intersection of oceanographic data collection, robotic path planning, and predictive modeling, addressing one of the core challenges in deploying persistent marine robots: accurately predicting vehicle speed under real-world environmental conditions. Anderson's most significant contributions center on developing and refining regression-based models that forecast Wave Glider speeds using environmental data such as wave measurements and ocean conditions. His 2014 paper on predicting Wave Glider speed from wave model data (32 citations) and his earlier 2011 study using direct environmental measurements (29 citations) together form a foundational body of work that enables more reliable navigation planning for long-duration ocean monitoring missions. A subsequent 2013 analysis further systematically compared regression approaches to optimize predictive accuracy. Collectively, his research has meaningfully advanced the operational viability of energy-harvesting marine robots, empowering oceanographers to better monitor dynamic, time-sensitive phenomena. With over 75 combined citations across three focused studies, Anderson's contributions represent an important step toward smarter, more efficient autonomous ocean observation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Predicting Wave Glider speed from environmental measurements29 citations · 2011
- 3