Kyle Poore

Papers

Total Citations

H-Index

About

Kyle Poore’s research focuses on human-robot interaction and auditory perception, particularly in developing robust whistle recognition systems for social robots. His most notable contribution, detailed in his 2015 paper "Single- and Multi-channel Whistle Recognition with NAO Robots," explores how NAO robots can interpret whistle commands in both single- and multi-channel acoustic environments. This work, cited 4 times, addresses a key challenge in non-verbal human-robot communication, enabling more intuitive control of robotic platforms without the need for complex speech interfaces. By integrating signal processing and machine learning techniques, Poore’s research advances the accessibility of robotic systems, particularly in educational and assistive contexts. His findings have implications for improving robot responsiveness in noisy, real-world settings, laying groundwork for future studies in auditory-based interaction. While his citation count is modest, the novelty of his approach—combining whistle recognition with the widely used NAO platform—highlights his early-career impact in bridging robotics and acoustic technology. Poore’s work remains a reference point for researchers exploring alternative communication modalities in human-robot collaboration.