| 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 | 204 | 2019 |
| 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 | 165 | 2022 |
| 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 | 159 | 2020 |
| 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 | 131 | 2019 |
| 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 | 101 | 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 | 100 | 2019 |
| 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 | 93 | 2021 |
| 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 | 76 | 2020 |
| 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 | 47 | 2019 |
| 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 | 34 | 2021 |
| 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 | 22 | 2018 |
| 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 | 15 | 2021 |
| 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 | 14 | 2018 |
| Knowledge-guided robot learning on compliance control for robotic assembly task with predictive model Q Liu, Z Ji, W Xu, Z Liu, B Yao, Z Zhou Expert Systems with Applications 234, 121037, 2023 | 11 | 2023 |
| Adaptive real-time similar repetitive manual procedure prediction and robotic procedure generation for human-robot collaboration Z Liu, Q Liu, W Xu, L Wang, Z Ji Advanced Engineering Informatics 58, 102129, 2023 | 9 | 2023 |
| 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 | 8 | 2020 |
| Turn-taking prediction for human–robot collaborative assembly considering human uncertainty W Xu, S Feng, B Yao, Z Ji, Z Liu Journal of Manufacturing Science and Engineering 145 (12), 121007, 2023 | 7 | 2023 |
| 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 | 7 | 2019 |
| Data-efficient multimodal human action recognition for proactive human–robot collaborative assembly: A cross-domain few-shot learning approach T Wang, Z Liu, L Wang, M Li, XV Wang Robotics and Computer-Integrated Manufacturing 89, 102785, 2024 | 5 | 2024 |
| Early prediction of turn-taking based on spiking neuron network to facilitate human-robot collaborative assembly S Feng, W Xu, B Yao, Z Liu, Z Ji 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 5 | 2022 |
D T PHAMUniversity of BirminghamE-mailová adresa ověřena na: bham.ac.uk
