A new article has been published in the Journal of Intelligent & Robotic Systems, titled “Pose Selection and Feedback Methods in Tandem Combinations of Particle Filters with Scan-Matching for 2D Mobile Robot Localisation”. This article enhances the Monte Carlo Localization algorithm by disregarding low-weight particles, incorporporating scan-matching techniques, and adopting feeding back specific particles approaches. This research has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Enterpreneurship and Innovation, under the call RESEARCH CREATE INNOVATE (project Relief). Read the full article in the link below.
Are you curious about how a robot can be programmed by a person with no technical knowledge? Check our article about the Nao4All project, where both university and elementary school students managed to program NAO, without using any code!