scholarly journals Sound Source Tracking Control of a Mobile Robot Using a Microphone Array

2012 ◽  
Vol 18 (4) ◽  
pp. 343-352 ◽  
Author(s):  
Jong-Ho Han ◽  
Sun-Sin Han ◽  
Jang-Myung Lee
2007 ◽  
Vol 2007.56 (0) ◽  
pp. 25-26
Author(s):  
Ryo WATABE ◽  
Naoki UCHIYAMA ◽  
Shigenori SANO ◽  
Shoji TAKAGI

Author(s):  
Jinho Kim ◽  
Jangmyung Lee

<span style="color: black; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-fareast-font-family: '맑은 고딕'; mso-bidi-font-style: italic; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">An modified active virtual impedance control has been proposed for collision free navigation of a mobile robot to avoid front obstacles dynamically while a mobile robot is following a sound source. A mobile robot is controlled to follow a sound source with a velocity which is determined by virtual repulsive and attraction forces to avoid obstacles and to follow the sound source, respectively. To generate the virtual repulsive and attraction forces, a new modified virtual impedance is defined as a function of the distances and relative velocities to the sound source and obstacles from the mobile robot. In the conventional virtual impedance method, fixed coefficients have been used for the virtual impedance control. In this research, the coefficients are dynamically adjusted to elaborate the obstacle avoidance performance in various situations such as the multiple moving obstacles environment. A microphone array consisting of three microphones in a row has been attached on the mobile robot to detect the relative distance and velocity to the obstacles. The relative position and orientation of the sound source against the mobile robot has been estimated using the geometrical relationship of the microphones. As an application, the mobile robot can be used as a pet robot following the master with a sound source. The effectiveness of the proposed algorithm has been demonstrated through real experiments.</span>


Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 522 ◽  
Author(s):  
Jong-Ho Han ◽  
Dong-Hyun Kim ◽  
Myeong-Hwan Hwang ◽  
Gye-Seong Lee ◽  
Hyun-Rok Cha

A novel active virtual impedance algorithm is here proposed to help sound-following robots avoid obstacles while tracking a sound source. The tracking velocity of a mobile robot to a sound source is determined by virtual repulsive and attraction forces to avoid obstacles and to follow the sound source, respectively. Active virtual impedance is defined as a function of distances and relative velocities to the sound source and obstacles from the mobile robot, which is used to generate the tracking velocity of the mobile robot. Conventional virtual impedance methods have fixed coefficients for relative distances and velocities. However, in this research, the coefficients are dynamically adjusted to extend the obstacle avoidance performance to multiple obstacle environments. The relative distances and velocities are obtained using a microphone array consisting of three microphones in a row. The geometrical relationships of the microphones are utilized to estimate the relative position and orientation of the sound source with respect to the mobile robot, which carries the microphone array. The effectiveness of the proposed algorithm is demonstrated by experiments.


2017 ◽  
Vol 14 (04) ◽  
pp. 1750025
Author(s):  
M. S. Hyunwoo Kim ◽  
Jongho Han ◽  
Jangmyung Lee

This paper presents a novel trajectory planning optimization process for a mobile robot to capture a mobile sound source (MSS) efficiently. The sound source can be an arbitrary object for the mobile robot to follow, such as a human being. The mobile robot is equipped with a microphone array so that it can obtain the location and direction of the MSS. During the capturing process, the location and direction of the MSS need to be known in advance so that an optimal path for capturing the sound source can be generated based upon a single or a double curvature path. Also a path predictive algorithm is used to estimate the moving path of the sound source. The conventional Kalman filter is used to realize an efficient prediction process for the mobile robot to capture the sound source quickly and accurately. The validity of the proposed algorithm has been demonstrated through its application in real experiments.


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