Nathan Lindsay
Papers
4
Total Citations
66
H-Index
3
About
Nathan Lindsay is a robotics and autonomous systems researcher whose work spans acoustic sensing, unmanned ground vehicles (UGVs), and multi-robot coordination. He is perhaps best known for his innovative contributions to sound source localization (SSL), developing a self-rotational two-microphone array system capable of determining both the azimuth and elevation angles of sound sources in three-dimensional space using only Interaural Time Difference (ITD) signals — a remarkably efficient approach requiring minimal hardware. His 2018 papers on this real-time active SSL technique have collectively garnered over 45 citations, demonstrating significant interest from the robotics and human-robot interaction communities. Beyond acoustic sensing, Lindsay has expanded his research into multi-robot systems, authoring a 2021 study on distributed task assignment algorithms that enable scalable, sequential task addition across robot teams — work that has attracted 19 citations and speaks to growing demands for flexible autonomous coordination. His research profile reflects a consistent focus on practical, real-world deployment of autonomous systems, combining signal processing ingenuity with systems-level thinking. Lindsay's contributions offer valuable tools for search-and-rescue robotics, surveillance, and collaborative autonomous platforms.
Research Focus
Key Achievements
Top Papers
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