2 papers
cs.RO2021
Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks
Mirko Nava, Antonio Paolillo, Jérôme Guzzi +2
We propose a general self-supervised learning approach for spatial perception tasks, such as estimating the pose of an object relative to the robot, from onboard sensor readings. T…
cs.RO2018
Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry
Mirko Nava, Jerome Guzzi, R. Omar Chavez-Garcia +2
We introduce a general self-supervised approach to predict the future outputs of a short-range sensor (such as a proximity sensor) given the current outputs of a long-range sensor…