Adam Morrison

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About

Adam Morrison’s research lies at the intersection of low-cost robotics, swarm intelligence, and interdisciplinary engineering education. His most influential work introduces an RSS-based triangulation method for robot tracking in robotic swarms, a critical contribution for designers seeking to maximize functionality while maintaining minimal sensing and computing capabilities on individual robots. This paper, with 10 citations, addresses a fundamental challenge in swarm robotics: enabling robust localization without expensive hardware. Morrison’s approach allows simple, low-cost robots to effectively coordinate and navigate, directly advancing the practicality of swarm deployments in real-world scenarios. Beyond technical innovation, Morrison is a pioneer in merging engineering with the fine arts. His work on a robotic football dance team exemplifies a rare and impactful interdisciplinary learning experience, demonstrating how robotics can be a medium for artistic expression and collaborative problem-solving. This project, though with 3 citations, highlights his commitment to broadening participation in STEM through creative, accessible applications. Morrison’s career is defined by a dual focus: pushing the boundaries of what limited-resource robots can achieve, and forging novel educational pathways that inspire the next generation of engineers.