RESEARCH INTERESTS: �  Robotics �  Systems control �  Automation

 

PUBLICATIONS:

SOFA 2016, ROMANIA

Data acquisition and processing with fusion sensors, used in algorithms for increasing accuracy of position measurement of mobile robots

In case of a mobile robot movement, the position measurement using internal reference sensors are of low accuracy. Encoder measurements are affected by skid, while accelerometer results are affected by noise and final calculation by additive errors. In this paper is presented a method for acquiring and processing data in order to be used for the correction to be performed in order to determine the position of a mobile robot with increased accuracy.
The used sensors in the proposed system are accelerometer and encoders, while the perturbation filtering is made with Kalman method. The data obtained from sensors are processed and analyzed, in order to reduce the measurement error.