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:On-Road Autonomous Vehicle Navigation In A Dynamic Environment Using Deep Reinforcement Learning, Towards Fuel Consumption Optimization
In this work we explore the application of deep reinforcement learning (DRL) in navigating autonomous vehicles (AVs) within dynamic environments, aiming to optimize fuel efficiency without compromising safety or operational reliability. Focusing on the intricate Read more…