| Human-robot collaboration in disassembly for sustainable manufacturing Q Liu, Z Liu, W Xu, Q Tang, Z Zhou, DT Pham International Journal of Production Research 57 (12), 4027-4044, 2019 | 75 | 2019 |
| A reconfigurable modeling approach for digital twin-based manufacturing system C Zhang, W Xu, J Liu, Z Liu, Z Zhou, DT Pham Procedia Cirp 83, 118-125, 2019 | 51 | 2019 |
| Disassembly sequence planning using discrete Bees algorithm for human-robot collaboration in remanufacturing W Xu, Q Tang, J Liu, Z Liu, Z Zhou, DT Pham Robotics and Computer-Integrated Manufacturing 62, 101860, 2020 | 43 | 2020 |
| Digital twin-enabled reconfigurable modeling for smart manufacturing systems C Zhang, W Xu, J Liu, Z Liu, Z Zhou, DT Pham International Journal of Computer Integrated Manufacturing 34 (7-8), 709-733, 2021 | 26 | 2021 |
| Deep learning-based human motion prediction considering context awareness for human-robot collaboration in manufacturing Z Liu, Q Liu, W Xu, Z Liu, Z Zhou, J Chen Procedia CIRP 83, 272-278, 2019 | 21 | 2019 |
| Dynamic risk assessment and active response strategy for industrial human-robot collaboration Z Liu, X Wang, Y Cai, W Xu, Q Liu, Z Zhou, DT Pham Computers & Industrial Engineering 141, 106302, 2020 | 19 | 2020 |
| Multi-source vision perception for human-robot collaboration in manufacturing S Yang, W Xu, Z Liu, Z Zhou, DT Pham 2018 IEEE 15th International Conference on Networking, Sensing and Control …, 2018 | 12 | 2018 |
| Robotic task oriented knowledge graph for human-robot collaboration in disassembly Y Ding, W Xu, Z Liu, Z Zhou, DT Pham Procedia CIRP 83, 105-110, 2019 | 11 | 2019 |
| Human-robot collaborative manufacturing using cooperative game: Framework and implementation Z Liu, Q Liu, W Xu, Z Zhou, DT Pham Procedia CIRP 72, 87-92, 2018 | 11 | 2018 |
| Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function Q Liu, Z Liu, B Xiong, W Xu, Y Liu Advanced Engineering Informatics 49, 101360, 2021 | 6 | 2021 |
| Task-level decision-making for dynamic and stochastic human-robot collaboration based on dual agents deep reinforcement learning Z Liu, Q Liu, L Wang, W Xu, Z Zhou The International Journal of Advanced Manufacturing Technology 115 (11 …, 2021 | 3 | 2021 |
| Towards shared autonomy framework for human-aware motion planning in industrial human-robot collaboration Z Ji, Q Liu, W Xu, Z Liu, B Yao, B Xiong, Z Zhou 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 3 | 2020 |
| Digital twin-based control approach for industrial cloud robotics L Li, W Xu, Z Liu, B Yao, Z Zhou, DT Pham International Manufacturing Science and Engineering Conference 58745 …, 2019 | 2 | 2019 |
| A machine learning-based image processing approach for robotic assembly system XV Wang, JS Pinter, Z Liu, L Wang Procedia CIRP 104, 906-911, 2021 | 1 | 2021 |
| Knowledge sharing and evolution of industrial cloud robotics L Jin, W Xu, Z Liu, J Yan, Z Zhou, DT Pham International Manufacturing Science and Engineering Conference 51357 …, 2018 | 1 | 2018 |
| Multi-Mode Perception for Human-Robot Collaborative Manufacturing: Framework and Enabling Technologies Z Liu, Q Liu, W Xu, A Liu, Z Zhou, DT Pham International Conference on Innovative Design and Manufacturing, 2017, 2017 | 1 | 2017 |
| Robot learning towards smart robotic manufacturing: A review Z Liu, Q Liu, W Xu, L Wang, Z Zhou Robotics and Computer-Integrated Manufacturing 77, 102360, 2022 | | 2022 |
D T PHAMUniversity of BirminghamVerified email at bham.ac.uk
