Brian J. Quiter

Papers

Total Citations

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About

Brian J. Quiter is a leading researcher at the intersection of robotics, radiation detection, and autonomous systems, with a primary focus on multi-agent localization and nuclear security. His most impactful work introduces **MURP** (Multi-Agent Ultra-Wideband Relative Pose Estimation), a novel system enabling robots to estimate each other’s 3D positions and orientations in GPS-denied environments using constrained wireless communications—a critical capability for underground, indoor, or extraterrestrial multi-robot missions. With 9 citations since 2024, this work is rapidly shaping the field of decentralized swarm robotics. Quiter also pioneered **free-moving 3D Scene Data Fusion (SDF)** for gamma-ray imaging, demonstrating in 2015 that robots could continuously map radioactive contamination while navigating unknown spaces—a breakthrough now cited in ongoing nuclear decommissioning and environmental monitoring efforts. His recent work integrates machine learning object recognition with quadruped robots for autonomous inspection of nuclear material containers, achieving 1 citation and showcasing practical deployment. Quiter’s research uniquely bridges perception, communication, and radiation sensing, offering robust solutions for hazardous environments where human access is limited.