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About

Andrew Webb is a researcher whose work sits at the intersection of robotics, computer vision, and spatial computing. His most recognized contribution focuses on simultaneous localization and mapping (SLAM), a fundamental challenge in enabling machines and devices to understand and navigate three-dimensional environments in real time. His 2018 paper, "Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality," has accumulated 51 citations and serves as an influential survey of the field, mapping out the computational and algorithmic challenges inherent in building systems that can perceive, interpret, and respond to physical spaces with minimal power consumption. Webb's research speaks directly to some of the most pressing technological demands of the modern era — from autonomous vehicles and industrial robots that must move safely through dynamic environments, to consumer-facing applications in augmented and virtual reality that require seamless, low-latency spatial awareness. By synthesizing the state of the field and identifying open challenges, his work provides an essential reference point for engineers and scientists working to bring intelligent, spatially aware systems to practical deployment. His contributions make him a notable voice in the broader conversation around embodied AI and real-time perception systems.