Xiang Gao
Orcid: 0000-0003-3253-8000Affiliations:
- Jihua Laboratory, Intelligent Robot Research Center, Foshan, China
- Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, AZ, USA
According to our database1,
Xiang Gao
authored at least 14 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
2022
Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control.
IEEE Trans. Robotics, 2022
Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Robotics Autom. Lett., 2022
Learning From Demonstrations Via Multi-Level and Multi-Attention Domain-Adaptive Meta-Learning.
IEEE Robotics Autom. Lett., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
2020
Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis.
IEEE Trans. Cybern., 2020
Towards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Offline Policy Iteration Based Reinforcement Learning Controller for Online Robotic Knee Prosthesis Parameter Tuning.
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Robotic Knee Prosthesis Real-Time Control Using Reinforcement Learning with Human in the Loop.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
2017
A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2017