A new publication named “SLAM for autonomous planetary rovers with global localization” has been published in the Journal of Field Robotics, This publication describes the thesis performed from Dimitrios Geromichalos, with the collaboration of ESA (European Space Agency) and our team. This paper describes a novel approach to simultaneous localization and mapping (SLAM) techniques applied to the autonomous planetary rover exploration scenario to reduce both the relative and absolute localization errors, using two wellâ€proven techniques: particle filters and scan matching. You can read the full text in the link below.
Publications
New Publication: MMoRWaD: A Multimodal Dataset for Recyclable Waste Recognition Acquired with an Edge-Node Reverse Vending Machine Station
Automated classification of municipal solid waste remains challenging due to high variability in object appearance, deformation, contamination, and inconsistent consumer disposal behavior, creating a need for representative multimodal datasets that enable robust machine-learning models. In Read more…