Research - , , Iran
MRL @home has participated in RoboCup international competition since 2009. The leading improvement of MRL @Home since last year is developing Robot Operating System as the main control platform of robot. ROSARIA was employed to control Pioneer 3-AT robot. It controls and receives position estimates, sonar and bumper, and all other current operating data sent by the robot platform. GMapping was used for navigation which is a highly efficient particle filer to learn grid maps from laser range data. Face recognition was achieved by Eigenfaces and object recognition is done by clustering algorithm. Collision free arm navigation permits the robot to grasp the objects. Speech recognition was performed by Kinect and Microsoft Speech Engine. To achieve better recognition, Speech Recognition Grammar Specification (SRGS) was used. And, a couple of improvements have been done in mechanical and electrical platform as well.