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Mr Xintong Yang
Timau a rolau for Xintong Yang
Cydymaith Ymchwil Ôl-ddoethurol
Cydymaith Ymchwil Ôl-Ddoethurol
Trosolwyg
Rwy'n gydymaith ymchwil (ôl-ddoethurol) yn yr Ysgol Peirianneg ym Mhrifysgol Caerdydd. Rwy'n gyffrous am alluogi robotiaid i drin gwrthrychau byd go iawn, anhyblyg neu anffurfiadwy, trwy ddulliau dysgu neu nad ydynt yn dysgu. Astudiais ddysgu atgyfnerthu dwfn (hierarchaidd) a dysgu fforddiadwyedd ar gyfer gafael a thrin gwrthrychau anhyblyg trwy gydol fy mlynyddoedd PhD ym Mhrifysgol Caerdydd a derbyniais fy PhD ym mis Hydref, 2023. Nawr rwy'n datblygu dulliau i efelychu a thrin gwrthrychau anffurfiadwy yn y byd go iawn gyda ffiseg gwahaniaethol. Rwyf hefyd yn ymroi i ddatblygu meddalwedd ffynhonnell agored. Cyn fy PhD, cefais fy ngraddau Baglor a Meistr mewn Peirianneg Fecanyddol a Diwydiannol o Brifysgol Technoleg Guangdong yn Tsieina.
Cyhoeddiad
2025
- Han, S. et al. 2025. Dual-wave hybrid acoustofluidic centrifuge for rapid enrichment of micro- and nanoscale biological particles. Sensors and Actuators A: Physical 389, article number: 116495. (10.1016/j.sna.2025.116495)
- Wu, Z. et al. 2025. Label-free DNA detection using optical barcodes from high Q-factor microbubble resonators. IEEE Sensors Journal 25(14), pp. 26631-26641. (10.1109/jsen.2025.3577175)
- Yang, X., Ji, Z. and Lai, Y. 2025. Differentiable physics-based system identification for robotic manipulation of elastoplastic materials. International Journal of Robotics Research (10.1177/02783649251334661)
- Wei, M., Yang, X., Yan, J., Lai, Y. and Ji, Z. 2025. Celebi’s choice: causality-guided skill optimisation for granular manipulation via differentiable simulation. Presented at: IROS 2025, Hangzhou, China, 19-25 October 2025Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025). IEEE
2024
- Gao, Y., Wu, J., Yang, X. and Ji, Z. 2024. Efficient hierarchical reinforcement learning for mapless navigation with predictive neighbouring space scoring. IEEE Transactions on Automation Science and Engineering 21(4), pp. 5457-5472. (10.1109/TASE.2023.3312237)
- Yang, X. and Ji, Z. 2024. Accelerating multi-step sparse reward reinforcement learning. Presented at: Cardiff University Engineering Research Conference 2023, Cardiff, UK, 12-14 July 2023 Presented at Spezi, E. and Bray, M. eds.Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press pp. 86-90., (10.18573/conf1.u)
- Yang, X., Wu, J., Lai, Y. and Ji, Z. 2024. GAM: General Affordance-based Manipulation for contact-rich object disentangling tasks. Neurocomputing 578, article number: 127386. (10.1016/j.neucom.2024.127386)
2023
- 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 15(3), pp. 1139-1149. (10.1109/TCDS.2023.3277288)
- Yang, X. 2023. Robotic object manipulation via hierarchical and affordance learning. PhD Thesis, Cardiff University.
- 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)
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., (10.1007/978-3-030-89177-0_2)
Articles
- Han, S. et al. 2025. Dual-wave hybrid acoustofluidic centrifuge for rapid enrichment of micro- and nanoscale biological particles. Sensors and Actuators A: Physical 389, article number: 116495. (10.1016/j.sna.2025.116495)
- Wu, Z. et al. 2025. Label-free DNA detection using optical barcodes from high Q-factor microbubble resonators. IEEE Sensors Journal 25(14), pp. 26631-26641. (10.1109/jsen.2025.3577175)
- Yang, X., Ji, Z. and Lai, Y. 2025. Differentiable physics-based system identification for robotic manipulation of elastoplastic materials. International Journal of Robotics Research (10.1177/02783649251334661)
- Gao, Y., Wu, J., Yang, X. and Ji, Z. 2024. Efficient hierarchical reinforcement learning for mapless navigation with predictive neighbouring space scoring. IEEE Transactions on Automation Science and Engineering 21(4), pp. 5457-5472. (10.1109/TASE.2023.3312237)
- Yang, X., Wu, J., Lai, Y. and Ji, Z. 2024. GAM: General Affordance-based Manipulation for contact-rich object disentangling tasks. Neurocomputing 578, article number: 127386. (10.1016/j.neucom.2024.127386)
- 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 15(3), pp. 1139-1149. (10.1109/TCDS.2023.3277288)
- 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., 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)
Conferences
- Wei, M., Yang, X., Yan, J., Lai, Y. and Ji, Z. 2025. Celebi’s choice: causality-guided skill optimisation for granular manipulation via differentiable simulation. Presented at: IROS 2025, Hangzhou, China, 19-25 October 2025Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025). IEEE
- Yang, X. and Ji, Z. 2024. Accelerating multi-step sparse reward reinforcement learning. Presented at: Cardiff University Engineering Research Conference 2023, Cardiff, UK, 12-14 July 2023 Presented at Spezi, E. and Bray, M. eds.Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press pp. 86-90., (10.18573/conf1.u)
- 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., (10.1007/978-3-030-89177-0_2)
Thesis
- Yang, X. 2023. Robotic object manipulation via hierarchical and affordance learning. PhD Thesis, Cardiff University.
Ymchwil
Rwy'n gyffrous am alluogi robotiaid i drin gwrthrychau byd go iawn, anhyblyg neu anffurfiadwy, trwy ddulliau dysgu neu nad ydynt yn dysgu. Astudiais ddysgu atgyfnerthu dwfn (hierarchaidd) a dysgu fforddiadwyedd ar gyfer gafael a thrin gwrthrychau anhyblyg. Nawr rwy'n datblygu dulliau i efelychu a thrin gwrthrychau anffurfiadwy yn y byd go iawn.
Contact Details
YangX66@caerdydd.ac.uk
Adeiladau’r Frenhines, Ystafell Ystafell C1.06, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA
Adeiladau’r Frenhines, Ystafell Ystafell C1.06, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA