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About

Thomas C. Thayer is a leading researcher at the intersection of robotics, combinatorial optimization, and precision agriculture. His work focuses on developing advanced routing and task-planning algorithms that enable fleets of robots to operate efficiently in large-scale agricultural environments, particularly vineyards. Thayer’s core contributions address the “orienteering problem” under real-world constraints: how robots with limited battery life can prioritize and complete the most valuable irrigation adjustments or sampling tasks. His highly cited 2018 and 2020 papers (each with 38 citations) on multirobot routing algorithms established foundational solutions for coordinating teams in vineyard settings. He further advanced the field by tackling uncertainty in his 2021 work on task planning over stochastic aisle graphs, where task costs and rewards are variable. Thayer’s research is notable for its practical impact, directly supporting the development of co-robotic systems for precision irrigation. His bi-objective routing work (2019) introduced novel methods for robots to simultaneously collect unrelated rewards, such as irrigation data and soil samples. With a growing citation record and a clear focus on solving large-scale, real-world agricultural challenges, Thayer is a key figure in the push toward automated, data-driven farming.