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cs.RO2025
Self-supervised Learning Of Visual Pose Estimation Without Pose Labels By Classifying LED States
Nicholas Carlotti, Mirko Nava, Alessandro Giusti
We introduce a model for monocular RGB relative pose estimation of a ground robot that trains from scratch without pose labels nor prior knowledge about the robot's shape or appear…
cs.RO2025
Sixth-Sense: Self-Supervised Learning of Spatial Awareness of Humans from a Planar Lidar
Simone Arreghini, Nicholas Carlotti, Mirko Nava +2
Reliable localization of people is fundamental for service and social robots that must operate in close interaction with humans. State-of-the-art human detectors often rely on RGB-…