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About

Alyssa Pierson is a roboticist whose research sits at the intersection of multi-robot systems, autonomous control, and human-robot interaction. She is perhaps best known for her pioneering work on multi-agent pursuit-evasion and robotic herding, developing distributed algorithms that enable teams of robots to cooperatively intercept rogue drones or shepherd noncooperative agents toward goal regions — contributions that have garnered over 130 and 97 citations respectively. Her bio-inspired herding framework, which maps complex swarm dynamics onto tractable vehicle models with provable convergence guarantees, has become a foundational reference in the field. Pierson has also made significant contributions to adaptive multi-robot coverage control, designing systems that dynamically compensate for variations in individual robot sensing and actuation — work cited over 75 times. Beyond theoretical advances, she has demonstrated a strong commitment to real-world deployment, developing a mobile UVC disinfection robot and collaborative haptic teleoperation systems. Her more recent investigations into stochastic dynamic games in belief space reflect a broadening research agenda toward decision-making under uncertainty in interactive, multi-agent environments. Across her career, Pierson's work consistently bridges rigorous mathematical control theory with practical, safety-critical robotic applications.