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2020, AIRO 2019 Artificial Intelligence and Robotics, Pages 1-6

S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots (04b Atto di convegno in volume)

Jaramillo José V., CAPOBIANCO ROBERTO, RICCIO FRANCESCO, NARDI Daniele

Semantic mapping is fundamental to enable cognition and high-level planning in robotics. It is a difficult task due to generalization to different scenarios and sensory data types. Hence, most techniques do not obtain a rich and accurate semantic map of the environment and of the objects therein. To tackle this issue we present a novel approach that exploits active vision and drives environment exploration aiming at improving the quality of the semantic map.
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