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Found 5 papers, 2 papers with code
First do not fall: learning to exploit a wall with a damaged humanoid robot
This article introduces a method, called D-Reflex, that learns a neural network that chooses this contact position given the wall orientation, the wall distance, and the posture of the robot.
Data-efficient learning of object-centric grasp preferences
Our pipeline is based on learning a latent space of grasps with a dataset generated with any state-of-the-art grasp generator (e. g., Dex-Net).
Prescient teleoperation of humanoid robots
Humanoid robots could be versatile and intuitive human avatars that operate remotely in inaccessible places: the robot could reproduce in the remote location the movements of an operator equipped with a wearable motion capture device while sending visual feedback to the operator.
Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study
We conducted a pilot study to evaluate the potential and feasibility of back-support exoskeletons to help the caregivers in the Intensive Care Unit (ICU) of the University Hospital of Nancy (France) executing Prone Positioning (PP) maneuvers on patients suffering from severe COVID-19-related Acute Respiratory Distress Syndrome.
A Variational Time Series Feature Extractor for Action Prediction
Our method is based on variational autoencoders.
