Localizing a mobile robot with intrinsic noise

• Main Authors: Picon, F., Thalmann, D., Allen, Brian Foster, Dalibard, Sebastien, Magnenat-Thalmann, Nadia
• Other Authors: 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (2012 : Zurich, Switzerland)
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/97851; http://hdl.handle.net/10220/12217
• Institution: Nanyang Technological University

Robot localization is a key barrier to providing natural interaction between 3D virtual characters, human users and mobile robots. Knowing where the robot is, relative to a known world-frame, is essential to directed gestures, gazes and expressions between the robot and the other real and virtual participants in a telepresence system. The intrinsic noise of robots is a flexible and robust, yet under-examined, source for localization information. Sounds that likely localize the robot are identified and separated from background noises using a support vector machine. The resulting sound-bearing data is combined with robot odometry using a particle filter. Experiments conducted in a noisy office environment show substantial improvement over odometry alone.