刘思远

@article{liu2026biosyngrasp,
  title = {{BioSynGrasp: Bio-Inspired Structured Reinforcement Learning With Synergetic Exploration and Human Demonstration for Dexterous Grasping of Musculoskeletal Robot}},
  author = {Siyuan Liu and Bo Jiang and Lijun Han and Shanlin Zhong and Ci Song and Huaping Liu and Jiahao Chen},
  journal = {IEEE Transactions on Automation Science and Engineering},
  year = {2026},
  volume = {23},
  pages = {6102--6116},
  url = {https://ieeexplore.ieee.org/document/11426967}
}

@article{liu2026synergies,
  title = {{Enhancing Musculoskeletal Manipulation Skills through Human Synergies Prior and BEE Actor-Critic}},
  author = {Siyuan Liu and Jiahao Chen and Bo Jiang and Ci Song and Shanlin Zhong},
  journal = {IEEE Transactions on Cognitive and Developmental Systems},
  year = {2026},
  pages = {1--16},
  doi = {10.1109/TCDS.2026.3691345},
  url = {https://ieeexplore.ieee.org/document/11517482}
}

@inproceedings{liu2026synergyablation,
  title = {{Probing the Functional Role of Muscle Synergies in Reinforcement Learning–Based Torso Balance via Neural Reconstruction and Synergy Ablation}},
  author = {Siyuan Liu and Jiahao Chen},
  booktitle = {2026 International Joint Conference on Neural Networks},
  year = {2026},
  pages = {1--7},
  url = {https://linklings.s3.amazonaws.com/organizations/WCCI/wcci2026/submissions/stype114/bgTeD-ijcnn_pap1591s2.pdf}
}

@inproceedings{liu2026assembly,
  title = {{Robust Peg-in-Hole Assembly for a Musculoskeletal System via Environment-Constrained Curriculum Learning}},
  author = {Siyuan Liu and Jiahao Chen},
  booktitle = {48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year = {2026},
  pages = {6283--6289}
}

@inproceedings{liu2025proximal,
  title = {{Proximal Policy Optimization with Reward Shaping for Musculoskeletal Robot Grasping}},
  author = {Siyuan Liu and Ci Song and Bo Jiang and Jiahao Chen},
  booktitle = {2025 40th Youth Academic Annual Conference of Chinese Association of Automation},
  year = {2025},
  pages = {1346--1351}
}

@inproceedings{cui2026morphology,
  title = {{Learning Morphology-Robust Policy for Variable-Structure Musculoskeletal Robots with Proximal Policy Optimization}},
  author = {Hanwen Cui and Siyuan Liu and Shanlin Zhong},
  booktitle = {2026 International Conference on Advanced Robotics and Mechatronics},
  year = {2026},
  pages = {1--7}
}

@inproceedings{song2026incomplete,
  title = {{Incomplete-observation Grasping with Hidden Geometric Structure}},
  author = {Ci Song and Siyuan Liu and Bo Jiang and Jiahao Chen and Yimin Ji and Si Zhiyuan and Shanlin Zhong},
  booktitle = {2026 International Conference on Advanced Robotics and Mechatronics},
  year = {2026},
  pages = {1--7}
}

@article{song2026generalizable,
  title = {{Generalizable Dexterous Grasping via Primitive Policy Library Reuse and Grasp Part Reasoning}},
  author = {Ci Song and Bo Jiang and Siyuan Liu and Jiahao Chen and Shanlin Zhong},
  journal = {Robotic Intelligence and Automation},
  year = {2026}
}

@article{jiang2025continual,
  title = {{A Continual Learning Method for Generalized Grasping Manipulation in a Musculoskeletal Robot}},
  author = {Bo Jiang and Ci Song and Siyuan Liu and Shuai Gan and Jiahao Chen},
  journal = {IEEE Transactions on Automation Science and Engineering},
  year = {2025},
  volume = {22},
  pages = {15671--15686},
  doi = {10.1109/TASE.2025.3569402},
  url = {https://doi.org/10.1109/TASE.2025.3569402}
}

@inproceedings{wang2026myochallenge,
  title = {{MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence}},
  author = {Cheryl Wang and Chun Kwang Tan and Balint K. Hodossy and Eric Lyu and Jun Guo and Wentao Zhao and Huaping Liu and Chengkun Li and Merkourios Simos and Bianca Ziliotto and Alexander Mathis and Siyuan Liu and Jiahao Chen and Shanlin Zhong and Bo Jiang and Ci Song and Yaoye Zhu and Chenhui Zuo and Yanan Sui and Mohamed Irfan Refai and Massimo Sartori and Guillaume Durandau and Vikash Kumar and Vittorio Caggiano},
  booktitle = {Advances in Neural Information Processing Systems, Datasets and Benchmarks Track},
  year = {2026},
  eprint = {2605.15650},
  archivePrefix = {arXiv},
  note = {Accepted},
  url = {https://arxiv.org/abs/2605.15650}
}