Jesse Murray

Papers

Total Citations

H-Index

About

Jesse Murray is a leading researcher in robotic perception and 3D vision, with a focus on enabling robust tracking in unstructured, real-world environments. His most impactful work introduces a pioneering method for reconstructing 3D flight trajectories from ad-hoc camera networks—a breakthrough that allows for accurate outside-in tracking of dynamically flying robots using unsynchronized, rolling-shutter cameras with unknown viewpoints. This research, published in 2020 and garnering 19 citations, addresses a critical gap in robotic state estimation by eliminating the need for expensive, calibrated motion-capture systems. Murray’s contributions are particularly significant for field robotics, where environmental constraints often preclude traditional tracking setups. By developing algorithms that can handle camera distortion and temporal misalignment, he has advanced the practical deployment of autonomous aerial systems in GPS-denied or cluttered spaces. His work not only enhances the reliability of multi-camera tracking but also opens new possibilities for collaborative robot swarms and wildlife monitoring. With a growing citation impact and a reputation for solving hard, real-world perception problems, Jesse Murray is a rising figure in the intersection of computer vision and robotics.