Chase Spoerer

Papers

Total Citations

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About

Chase Spoerer is a researcher focused on advancing the practical deployment of autonomous robotic systems, with a particular emphasis on path planning and optimization for real-world environments. His most-cited work, "Path Planning for Robotic Delivery Systems" (2022), introduces a novel adaptation of Dijkstra's algorithm that accelerates shortest-path computation by strategically sampling nodes to create a directed graph representation of a university campus. This contribution directly addresses the computational bottlenecks in robotic navigation, enabling faster and more efficient route planning for delivery robots in complex, dynamic settings. While his citation count is currently modest, the work demonstrates a strong foundation in algorithmic optimization and applied robotics, with clear potential for scalability to broader smart-city and logistics applications. Spoerer’s research bridges theoretical graph theory and practical engineering, offering a replicable framework for institutions seeking to integrate autonomous delivery systems. His approach underscores a commitment to solving tangible, real-world problems through elegant algorithmic design, positioning him as an emerging voice in the intersection of robotics, operations research, and urban automation.