| Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots. H Fu, K Tang, P Li, W Zhang, X Wang, G Deng, T Wang, C Chen IJCAI, 2381-2388, 2021 | 12 | 2021 |
| Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach W Zhang, K Zhao, P Li, X Zhu, F Ye, W Jiang, H Fu, T Wang 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 6 | 2021 |
| Reinforcement learning for robots path planning with rule-based shallow-trial K Tang, H Fu, H Jiang, C Liu, L Wang 2019 IEEE 16th International Conference on Networking, Sensing and Control …, 2019 | 5 | 2019 |
| Hierarchical free gait motion planning for hexapod robots using deep reinforcement learning X Wang, H Fu, G Deng, C Liu, K Tang, C Chen IEEE Transactions on Industrial Informatics, 2023 | 4 | 2023 |
| Ess-infogail: Semi-supervised imitation learning from imbalanced demonstrations H Fu, K Tang, Y Lu, Y Qi, G Deng, F Sung, C Chen Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Incremental Reinforcement Learning Via Performance Evaluation and Policy Perturbation G Deng, H Fu, X Wang, C Liu, K Tang, C Chen IEEE Transactions on Artificial Intelligence, 2023 | 1 | 2023 |
| Research on Motion Planning of Hexapod Robot Based on DRL and Free Gait X Wang, H Fu, G Deng, K Tang, C Chen, C Liu Journal of System Simulation 36 (2), 373, 2024 | | 2024 |
| Hierarchical Multi-contact Motion Planning of Hexapod Robots with Incremental Reinforcement Learning K Tang, H Fu, G Deng, X Wang, C Chen IEEE Transactions on Cognitive and Developmental Systems, 2023 | | 2023 |
| Deep Reinforcement Learning for Dynamic Capacitated Vehicle Routing Problem K Tang, H Fu, J Liu, G Deng, Y Lu, Y Qi, C Chen | | 2023 |
| DER-Solomon: A Large Number of CVRPTW Instances Generated Based on the Solomon Benchmark Distribution K Tang, H Fu, J Liu, G Deng, Y Qi, Y Lu, C Chen | | 2023 |
| MetalHead: Natural Locomotion, Jumping and Recovery of Quadruped Robot A1 with AMP H Fu, Y Wu, F Sung https://github.com/inspirai/MetalHead, 2023 | | 2023 |
