Litcius/Paper detail

Optimal stroke learning with policy gradient approach for robotic table tennis

Yapeng Gao, Jonas Tebbe, Andreas Zell

2022Applied Intelligence20 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceReinforcement learningRacketRobotKinematicsRetrainingArtificial intelligenceSimulationInternational tradePhysicsClassical mechanicsSwingAcousticsBusinessReinforcement Learning in RoboticsRobot Manipulation and LearningAutonomous Vehicle Technology and Safety
Optimal stroke learning with policy gradient approach for robotic table tennis | Litcius