首页|Researcher from Simon Fraser University Discusses Findings in Robotics (An Audio -Based SLAM for Indoor Environments: A Robotic Mixed Reality Presentation)
Researcher from Simon Fraser University Discusses Findings in Robotics (An Audio -Based SLAM for Indoor Environments: A Robotic Mixed Reality Presentation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Research findings on robotics are disc ussed in a new report. According to news reporting originating from Surrey, Cana da, by NewsRx correspondents, research stated, “In this paper, we present a nove l approach referred to as the audio-based virtual landmark-based HoloSLAM.” Funders for this research include Simon Fraser University. Our news correspondents obtained a quote from the research from Simon Fraser Uni versity: “This innovative method leverages a single sound source and microphone arrays to estimate the voice-printed speaker’s direction. The system allows an a utonomous robot equipped with a single microphone array to navigate within indoo r environments, interact with specific sound sources, and simultaneously determi ne its own location while mapping the environment. The proposed method does not require multiple audio sources in the environment nor sensor fusion to extract p ertinent information and make accurate sound source estimations. Furthermore, th e approach incorporates Robotic Mixed Reality using Microsoft HoloLens to superi mpose landmarks, effectively mitigating the audio landmark-related issues of con ventional audiobased landmark SLAM, particularly in situations where audio land marks cannot be discerned, are limited in number, or are completely missing. The paper also evaluates an active speaker detection method, demonstrating its abil ity to achieve high accuracy in scenarios where audio data are the sole input.”
Simon Fraser UniversitySurreyCanadaNorth and Central AmericaEmerging TechnologiesMachine LearningRoboticsR obots
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