Mr Xintong Yang
Cydymaith Ymchwil
- YangX66@caerdydd.ac.uk
- Adeiladau'r Frenhines, Ystafell Ystafell C1.06, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA
Cyhoeddiad
2023
- Yang, X. 2023. Robotic object manipulation via hierarchical and affordance learning. PhD Thesis, Cardiff University.
- Gao, Y., Wu, J., Yang, X. and Ji, Z. 2023. Efficient hierarchical reinforcement learning for mapless navigation with predictive neighbouring space scoring. IEEE Transactions on Automation Science and Engineering
- Zhang, T., Liu, Y., Yang, X., Chen, J. and Huang, J. 2023. Home health care routing and scheduling in densely populated communities considering complex human behaviours. Computers and Industrial Engineering 182, article number: 109332. (10.1016/j.cie.2023.109332)
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 2023. Recent advances of deep robotic affordance learning: a reinforcement learning perspective. IEEE Transactions on Cognitive and Developmental Systems (10.1109/TCDS.2023.3277288)
2022
- You, Y., Ji, Z., Yang, X. and Liu, Y. 2022. From human-human collaboration to human-robot collaboration: automated generation of assembly task knowledge model. Presented at: 27th IEEE International Conference on Automation and Computing (ICAC2022), Bristol, UK, 1-3 Sept 20222022 27th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/ICAC55051.2022.9911131)
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 2022. Abstract demonstrations and adaptive exploration for efficient and stable multi-step sparse reward reinforcement learning. Presented at: 27th IEEE International Conference on Automation and Computing (ICAC2022), Bristol, United Kingdom, 1-3 September 20222022 27th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/ICAC55051.2022.9911100)
- Yang, X., Ji, Z., Wu, J., Lai, Y., Wei, C., Liu, G. and Setchi, R. 2022. Hierarchical reinforcement learning with universal policies for multi-step robotic manipulation. IEEE Transactions on Neural Networks and Learning Systems 33(9), pp. 4727-4741. (10.1109/TNNLS.2021.3059912)
2021
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 2021. An open-source multi-goal reinforcement learning environment for robotic manipulation with Pybullet. Presented at: 21st Towards Autonomous Robotic Systems Conference (TAROS 2021), Virtual, 8-10 September 2021 Presented at Fox, C. et al. eds.Towards Autonomous Robotic Systems. TAROS 2021. Lecture Notes in Computer Science Springer pp. 14-24.
Cynadleddau
- You, Y., Ji, Z., Yang, X. and Liu, Y. 2022. From human-human collaboration to human-robot collaboration: automated generation of assembly task knowledge model. Presented at: 27th IEEE International Conference on Automation and Computing (ICAC2022), Bristol, UK, 1-3 Sept 20222022 27th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/ICAC55051.2022.9911131)
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 2022. Abstract demonstrations and adaptive exploration for efficient and stable multi-step sparse reward reinforcement learning. Presented at: 27th IEEE International Conference on Automation and Computing (ICAC2022), Bristol, United Kingdom, 1-3 September 20222022 27th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/ICAC55051.2022.9911100)
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 2021. An open-source multi-goal reinforcement learning environment for robotic manipulation with Pybullet. Presented at: 21st Towards Autonomous Robotic Systems Conference (TAROS 2021), Virtual, 8-10 September 2021 Presented at Fox, C. et al. eds.Towards Autonomous Robotic Systems. TAROS 2021. Lecture Notes in Computer Science Springer pp. 14-24.
Erthyglau
- Gao, Y., Wu, J., Yang, X. and Ji, Z. 2023. Efficient hierarchical reinforcement learning for mapless navigation with predictive neighbouring space scoring. IEEE Transactions on Automation Science and Engineering
- Zhang, T., Liu, Y., Yang, X., Chen, J. and Huang, J. 2023. Home health care routing and scheduling in densely populated communities considering complex human behaviours. Computers and Industrial Engineering 182, article number: 109332. (10.1016/j.cie.2023.109332)
- Yang, X., Ji, Z., Wu, J. and Lai, Y. 2023. Recent advances of deep robotic affordance learning: a reinforcement learning perspective. IEEE Transactions on Cognitive and Developmental Systems (10.1109/TCDS.2023.3277288)
- Yang, X., Ji, Z., Wu, J., Lai, Y., Wei, C., Liu, G. and Setchi, R. 2022. Hierarchical reinforcement learning with universal policies for multi-step robotic manipulation. IEEE Transactions on Neural Networks and Learning Systems 33(9), pp. 4727-4741. (10.1109/TNNLS.2021.3059912)
Gosodiad
- Yang, X. 2023. Robotic object manipulation via hierarchical and affordance learning. PhD Thesis, Cardiff University.
Ymchwil
I'm currently researching on Deep Reinforcement Learning (DRL)-based Robotic Manipulation. Recently I'm working on implementing vision-based manipulation by transferring RL agents that trained in simulation.