Adam Scholefield

École Polytechnique Fédérale de Lausanne

Papers

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About

Adam Scholefield is a leading researcher in robotics and sensor-based localization, with a focus on enabling autonomous systems to navigate and perceive their environment under challenging conditions. His work bridges theoretical foundations and practical deployment, particularly in the domain of range-only localization, where he has made seminal contributions. His 2020 paper, "Relax and Recover: Guaranteed Range-Only Continuous Localization" (20 citations), advances the understanding of localizing moving agents—such as underwater vehicles, drones, and indoor robots—using only distance measurements, a problem previously limited to static points. This work provides provable guarantees for continuous tracking, opening new avenues for robust navigation in GPS-denied environments. Scholefield also explores unconventional sensing modalities, as demonstrated in his 2022 paper, "Blind as a Bat: Audible Echolocation on Small Robots" (18 citations), which pioneers the use of audio for obstacle detection, localization, and mapping on small, resource-constrained robots. By repurposing microphones and speakers already present on many platforms, his research offers a low-cost, energy-efficient alternative to traditional visual or LiDAR-based systems. With a growing citation impact and a knack for tackling fundamental problems with elegant solutions, Scholefield is shaping the future of autonomous navigation in complex, real-world settings.