Xintong Yang

Articles

• Li, Y., Liang, D., Kabla, A., Zhang, Y., Ma, J. and Yang, X. 2025. Dependence of acoustophoretic aggregation on the impedance of microchannel's walls. Computer Methods and Programs in Biomedicine 260, article number: 108530. (10.1016/j.cmpb.2024.108530)
• 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)
• Wu, Z. et al. 2024. Investigation of piezoelectric printing devices for oil-free and on-demand picolitre monodisperse droplet generation. Scientific Reports 14(1), article number: 17104. (10.1038/s41598-024-67849-2)
• 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)
• Dong, J., Liang, D., Chen, X. and Yang, X. 2024. Influences of laser heating parameters on thermophoretic enrichment of nanoparticles. International Journal of Heat and Mass Transfer 218, article number: 124765. (10.1016/j.ijheatmasstransfer.2023.124765)
• Wang, Q. et al. 2024. Acoustofluidic patterning in glass capillaries using travelling acoustic waves based on thin film flexible platform. Ultrasonics 136, article number: 107149. (10.1016/j.ultras.2023.107149)
• Li, Y., Liang, D., Kabla, A., Zhang, Y. and Yang, X. 2023. Sensitivity of acoustofluidic particle manipulation to microchannel height in standing surface acoustic wave-based microfluidic devices. Physics of Fluids 35(12), article number: 122018. (10.1063/5.0177118)
• 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)
• Dumcius, P. et al. 2023. Dual-wave acoustofluidic centrifuge for ultrafast concentration of nanoparticles and extracellular vesicles (small 35/2023). Small 19(35), article number: 2370274. (10.1002/smll.202370274)
• 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

• 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.

Thesis

• Yang, X. 2023. Robotic object manipulation via hierarchical and affordance learning. PhD Thesis, Cardiff University.