Initiated and financed by the Canadian Space Agency, Micro-Rover Platform with Tooling Arm (MRPTA) project has targeted the development of a robotic system with remote control and autonomous navigation capabilities for testing a large variety of analogous planetary missions. Although developed for planetary exploration, the navigation system is highly suitable to such areas of application as co...

Geert De Cubber, Daniela Doroftei, Lazaros Nalpantidis, Georgios Ch. Sirakoulis, Antonios Gasteratos Royal Military Academy Department of Mechanical Engineering (MSTA) Av. de la Renaissance 30, 1000 Brussels [email protected], [email protected] Democritus University of Thrace Department of Production and Management Engineering University Campus, Kimmeria, 671 00 Xanthi, Greece ...

To achieve complete autonomy of unmanned ground vehicles (UGVs) in off-road terrain at high speeds, a robot must understand and analyze the terrain it is driving on in real-time just as a human analyzes the terrain and makes decisions of where to drive. Much research has been done in the way of obstacle avoidance, terrain classification, and path planning, but there has yet to be seen a system ...

Motion planning for unmanned ground vehicles (UGV) constitutes a domain of research where several disciplines meet, ranging from artificial intelligence and machine learning to robot perception and computer vision. In view of the plurality of related applications such as planetary exploration, search and rescue, agriculture, mining and off-road exploration, the aim of the present survey is to r...

We applied a deep learning terrain classification system, the ‘Novelty or Anomaly Hunter – HiRISE’ (NOAH-H), originally developed for ExoMars landing sites in Oxia Planum and Mawrth Vallis, to Mars 2020 Perseverance rover site Jezero crater. NOAH-H successfully classified four HiRISE images of even though landforms study area were slightly different from those training dataset. mosaicked raster...

We consider Non-local Gravity in view to obtain stable and traversable wormhole solutions. In particular, the class of Integral Kernel Theories Gravity, with inverse d'Alembert operator gravitational action, is taken into account. constraints for null energy condition derive field equations. Two special cases related Klein-Gordon equation are assumed: one where function action has a linear form...

Teaching a robot to perceive and navigate in an unstructured natural world is a difficult task. Without learning, navigation systems are short-range and extremely limited. With learning, the robot can be taught to classify terrain at longer distances, but these classifiers can be fragile as well, leading to extremely conservative planning. A robust, high-level learning-based perception system f...