BM Emery
Papers
1
Total Citations
2
H-Index
1
About
BM Emery is a researcher whose work sits at the intersection of robotics, audio processing, and human-robot interaction (HRI), with a particular focus on enabling machines to perceive and interact with their environments through sound. Emery’s key contributions lie in the domain of robot audition, where they have developed integrated frameworks for sound source localization and tracking. Their most cited work, “An audio-visual solution to sound source localization and tracking with applications to HRI,” proposes a novel approach that fuses audio signals with visual data, drawing on advances from Simultaneous Localization And Mapping (SLAM) and bearing-only target tracking. This framework is designed to allow robots to more naturally locate and follow sound sources—such as a human speaker—in dynamic environments, a critical step toward seamless HRI. While the paper has garnered 2 citations, its conceptual synthesis of multiple fields marks an important early contribution to the growing field of robot audition. Emery’s research helps lay the groundwork for robots that can listen as well as they see, advancing the goal of truly interactive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1