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About

Logan E. Beaver is a dynamic researcher working at the intersection of robotics, autonomous systems, and transportation engineering. His work spans several interconnected domains, including multi-agent coordination, emerging mobility systems, microrobotics, and energy-optimal control — areas where he has made meaningful contributions to both theory and real-world implementation. Beaver's most cited work, "An Overview on Optimal Flocking" (2021, 88 citations), established him as a notable voice in multi-agent systems, synthesizing the state of flocking algorithms with rigorous analytical clarity. His sustained focus on connected and automated vehicles (CAVs) has produced influential platforms, including a robotic testbed for real-time mobility control (35 citations) and a Unity-based digital smart city simulation environment, bridging the gap between theoretical optimization and scaled physical experimentation. Beyond transportation, Beaver has ventured into microrobotics, developing first-order modeling frameworks for magnetically driven microrobots and reinforcement learning-based tracking controllers for micron-scale robots with promising medical applications. His graph-based and LQ-based approaches to energy-optimal trajectory generation reflect a broader commitment to computationally efficient, practically deployable control methods. With over 160 cumulative citations across diverse robotics and mobility topics, Beaver represents an emerging force connecting rigorous control theory with next-generation autonomous systems.