|Autors: Dehkharghani S. Sehati., Bekiarski., Pleshkova, P. S., Venkov P.|
Title: Method and algorithm for precise estimation of joined audio visual robot control
Keywords: Industrial Robots, Robot Control, Robot Sensors, SLAM, Speech Recognition
Abstract: One of the main operations performed in industrial robotics is motion control. Robot’s sensors provide information for robot localization, mapping and feature recognition. Many methods and corresponding algorithms are presented that use this information for robot motion control. Most of them use a single sensor for localization and therefore, the achieved precision depends on the accuracy of data perception of the corresponding sensor and vary when the conditions of the robot’s environment change. The goal of this paper is to propose and evaluate a method and algorithm which combines the information perceived by several robot sensors for robot localization and mapping and uses them for robot position estimation and path planning. The results of the simulation tests and of the algorithm being applied to a real robot is presented for evaluating the precision of the suggested algorithm by comparing the results to those obtained from a singlesensor- based localization system.
1. Miletiev, R, Kapanakov, P, Iontchev, E, Yordanov, R. High sampling rate IMU with dual band GNSS receiver. Proceedings of the International Spring Seminar on Electronics TechnologyVolume 2020-May, May 2020, Article number 912113143rd International Spring Seminar on Electronics Technology, ISSE 2020; Demanovska Valley; Slovakia; 14 May 2020 through 15 May 2020; Category numberCFP20509-ART; Code 161345 - 2020 - в издания, индексирани в Scopus или Web of Science
Вид: публикация в национален форум, индексирана в Google Scholar