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.
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots / Jaramillo, José V.; Capobianco, Roberto; Riccio, Francesco; Nardi, Daniele. - (2020), pp. 1-6. (Intervento presentato al convegno 6th Italian Workshop on Artificial Intelligence and Robotics co-located with the XVIII International Conference of the Italian Association for Artificial Intelligence (AIxIA 2019) tenutosi a Rende; Italy).
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots
José V. Jaramillo;Roberto Capobianco
;Francesco Riccio;Daniele Nardi
2020
Abstract
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.| File | Dimensione | Formato | |
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