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ORCIDQingfeng Yao
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2020 – today
- 2023
[j6]Qingfeng Yao
, Linghan Meng, Qifeng Zhang, Jing Zhao, Joni Pajarinen, Xiaohui Wang, Zhibin Li, Cong Wang:
Learning-Based Propulsion Control for Amphibious Quadruped Robots With Dynamic Adaptation to Changing Environment. IEEE Robotics Autom. Lett. 8(12): 7889-7896 (2023)- [j5]Qingfeng Yao, Cong Wang, Jilong Wang, Linghan Meng, Shuyu Yang, Qifeng Zhang, Donglin Wang:
Adaptive legged manipulation: Versatile disturbance predictive control for quadruped robots with robotic arms. Robotics Auton. Syst. 167: 104468 (2023) - 2022
- [c5]Qingfeng Yao, Jilong Wang, Shuyu Yang, Cong Wang, Hongyin Zhang, Qifeng Zhang, Donglin Wang:
Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning. ROBIO 2022: 1414-1419 - [c4]Qingfeng Yao, Jilong Wang, Shuyu Yang, Cong Wang, Linghan Meng, Qifeng Zhang, Donglin Wang:
A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control. ROBIO 2022: 2093-2097 - [i3]Qingfeng Yao, Jilong Wang, Shuyu Yang, Cong Wang, Linghan Meng, Qifeng Zhang, Donglin Wang:
A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control. CoRR abs/2203.03391 (2022) - [i2]Qingfeng Yao, Jilong Wang, Shuyu Yang, Cong Wang, Hongyin Zhang, Qifeng Zhang, Donglin Wang:
Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning. CoRR abs/2203.05973 (2022) - 2021
- [j4]Yongzhi Wang, Sicheng Zhu, Qian Zhang, Ran Zhou, Rutong Dou, Haonan Sun, Qingfeng Yao, Mingwei Xu, Yu Zhang:
A Visual Grasping Strategy for Improving Assembly Efficiency Based on Deep Reinforcement Learning. J. Sensors 2021: 8741454:1-8741454:11 (2021) - [c3]Qingfeng Yao, Jilong Wang, Donglin Wang, Shuyu Yang, Hongyin Zhang, Yinuo Wang, Zhengqing Wu:
Hierarchical Terrain-Aware Control for Quadrupedal Locomotion by Combining Deep Reinforcement Learning and Optimal Control. IROS 2021: 4546-4551 - [c2]Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf:
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) 2021: 190-204 - [i1]Qingfeng Yao, Jilong Wang, Shuyu Yang:
Real-World Dexterous Object Manipulation based Deep Reinforcement Learning. CoRR abs/2112.04893 (2021) - 2020
- [j3]Qingfeng Yao, Zeyu Zheng, Liang Qi, Haitao Yuan, Xiwang Guo, Ming Zhao, Zhi Liu, Tianji Yang:
Path Planning Method With Improved Artificial Potential Field - A Reinforcement Learning Perspective. IEEE Access 8: 135513-135523 (2020) - [j2]Wensi Yang, Qingfeng Yao, Kejiang Ye, Cheng-Zhong Xu:
Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation. Int. J. Parallel Program. 48(1): 61-79 (2020)
2010 – 2019
- 2019
- [j1]Zhi Liu, Zeyu Zheng, Xiwang Guo, Liang Qi, Jun Gui, Dianzheng Fu, Qingfeng Yao, Luyao Jin:
AttentiveHerb: A Novel Method for Traditional Medicine Prescription Generation. IEEE Access 7: 139069-139085 (2019) - [c1]Qingfeng Yao, Tianji Yang, Zhi Liu, Zeyu Zheng:
Remaining Useful Life Estimation by Empirical Mode Decomposition and Ensemble Deep Convolution Neural Networks. ICPHM 2019: 1-6
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