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Quantao Yang
Quantao Yang
ABB Corporate Research, Örebro University
Bestätigte E-Mail-Adresse bei se.abb.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Variable Impedance Skill Learning for Contact-Rich Manipulation
Q Yang, A Dürr, EA Topp, JA Stork, T Stoyanov
IEEE Robotics and Automation Letters 7 (3), 8391-8398, 2022
92022
MPR-RL: multi-prior regularized reinforcement learning for knowledge transfer
Q Yang, JA Stork, T Stoyanov
IEEE Robotics and Automation Letters 7 (3), 7652-7659, 2022
62022
Null space based efficient reinforcement learning with hierarchical safety constraints
Q Yang, JA Stork, T Stoyanov
2021 European Conference on Mobile Robots (ECMR), 1-6, 2021
42021
Learning Impedance Actions for Safe Reinforcement Learning in Contact-Rich Tasks
Q Yang, A Dürr, EA Topp, JA Stork, T Stoyanov
NeurIPS 2021 Workshop on Deployable Decision Making in Embodied Systems (DDM …, 2021
22021
Learn from Robot: Transferring Skills for Diverse Manipulation via Cycle Generative Networks
Q Yang, JA Stork, T Stoyanov
2023 IEEE 19th International Conference on Automation Science and …, 2023
2023
Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning
Q Yang
Örebro University, 2023
2023
Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation
Q Yang, JA Stork, T Stoyanov
arXiv preprint arXiv:2210.02891, 2022
2022
Image Based Visual Servoing using 7-­DOF Schunk PowerCube Arm
Q Yang
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