Generative Neural Retargeting for Human-to-Robot Dexterous Manipulation
Under review
Sensing Which Modality Matters: Evidence-Gated Regularization for Robust VLA Policies
Under review
@misc{yang2026sensingmodalitymattersevidencegated,
title={Sensing Which Modality Matters: Evidence-Gated Regularization for Robust VLA Policies},
author={Yue Yang and Diego Romeres and Chiori Hori and Gedas Bertasius and Daniel Szafir and Siddarth Jain},
year={2026},
eprint={2609.03142},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2609.03142},
}
From Rollout to Reset: A Graph-Based Harness for Autonomous Long-Horizon Manipulation Evaluation
Under review
@misc{jiang2026rolloutresetgraphbasedharness,
title={From Rollout to Reset: A Graph-Based Harness for Autonomous Long-Horizon Manipulation Evaluation},
author={Jing Jiang and Yue Yang and Xinkai Jiang and Gedas Bertasius and Daniel J. Szafir and Rudolf Lioutikov},
year={2026},
eprint={2609.19413},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2609.19413},
}
Diagnosing and Recovering from Observation-Space Shift at Long-Horizon Skill Seams
Under review
WatchAct: A Benchmark for Behavior-Grounded Robot Manipulation
Under review
@misc{li2026watchactbenchmarkbehaviorgroundedrobot,
title={WatchAct: A Benchmark for Behavior-Grounded Robot Manipulation},
author={Baiqi Li and Ce Zhang and Yu Fang and Yue Yang and Shangzhe Li and Mingyu Ding and Gedas Bertasius},
year={2026},
eprint={2606.26443},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2606.26443},
}
DenseReward: Dense Reward Learning via Failure Synthesis for Robotic Manipulation
Under review
@misc{fang2026denserewarddenserewardlearning,
title={DenseReward: Dense Reward Learning via Failure Synthesis for Robotic Manipulation},
author={Yu Fang and Wanxi Dong and Jiaqi Liu and Yue Yang and Mingxiao Huo and Yao Mu and Huaxiu Yao and Li Erran Li and Daniel Szafir and Mingyu Ding},
year={2026},
eprint={2607.13033},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2607.13033},
}
LiLo-VLA: Compositional Long-Horizon Manipulation via Linked Object-Centric Policies
Under review
Best Paper Award, IROS 2026 Workshop on Compositional and Modular Learning
@misc{yang2026lilovlacompositionallonghorizonmanipulation,
title={LiLo-VLA: Compositional Long-Horizon Manipulation via Linked Object-Centric Policies},
author={Yue Yang and Shuo Cheng and Yu Fang and Homanga Bharadhwaj and Mingyu Ding and Gedas Bertasius and Daniel Szafir},
year={2026},
eprint={2602.21531},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2602.21531},
}
When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs
Proceedings of the Conference on Robot Learning (CoRL), 2026
Spotlight
@article{fang2026vision,
title = {When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs},
author = {Fang, Yu and Feng, Yuchun and Jing, Dong and Liu, Jiaqi and Yang, Yue and Wei, Zhenyu and Szafir, Daniel and Ding, Mingyu},
journal = {Proceedings of the Conference on Robot Learning (CoRL)},
year = {2026}
}
FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model
Under review
@misc{ma2026furniturevlalearninglonghorizonbimanual,
title={FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model},
author={Chenyang Ma and Yue Yang and Radu Corcodel and Siddarth Jain and Andrew Wu and Chiori Hori and Diego Romeres},
year={2026},
eprint={2607.01212},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2607.01212},
}
BOSS: Benchmark for Observation Space Shift in Long-Horizon Task
IEEE Robotics and Automation Letters (RA-L), presented at ICRA 2026
@article{yang2025boss,
title = {BOSS: Benchmark for Observation Space Shift in Long-Horizon Task},
author = {Yang, Yue and Zhao, Linfeng and Ding, Mingyu and Bertasius, Gedas and Szafir, Daniel},
journal = {IEEE Robotics and Automation Letters (RA-L), presented at ICRA 2026},
year = {2025}
}
ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis
Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
@article{fang2025rebot,
title = {ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis},
author = {Fang, Yu and Yang, Yue and Zhu, Xinghao and Zheng, Kaiyuan and Bertasius, Gedas and Szafir, Daniel and Ding, Mingyu},
journal = {Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2025}
}
Supporting Long-Horizon Tasks in Human-Robot Collaboration by Aligning Intentions via Augmented Reality
Late-Breaking Reports, 2025 ACM/IEEE International Conference on Human-Robot Interaction (alt.HRI)
@inproceedings{ma2025supporting,
title = {Supporting Long-Horizon Tasks in Human-Robot Collaboration by Aligning Intentions via Augmented Reality},
author = {Ma, Chenyang and Yang, Yue and Ikeda, Bryce and Szafir, Daniel},
booktitle = {Late-Breaking Reports, 2025 ACM/IEEE International Conference on Human-Robot Interaction (alt.HRI)},
year = {2025}
}
Competency-Aware Collaborative Robotic Surface Exploration: A Study at the Mars Desert Research Station
IEEE Transactions on Field Robotics (T-FR), 2025
@article{conlon2025competency,
title = {Competency-Aware Collaborative Robotic Surface Exploration: A Study at the Mars Desert Research Station},
author = {Conlon, Nicholas and Sawicki, Pawel and Yang, Yue and Ahmed, Nisar R and Szafir, Daniel},
journal = {IEEE Transactions on Field Robotics (T-FR)},
year = {2025}
}
ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning
Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
@inproceedings{yang2024arcade,
title = {ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning},
author = {Yang, Yue and Ikeda, Bryce and Bertasius, Gedas and Szafir, Daniel},
booktitle = {Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2024}
}
Augmented Reality Demonstrations for Scalable Robot Imitation Learning
7th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions (VAM-HRI), 2024
@inproceedings{yang2024augmented,
title = {Augmented Reality Demonstrations for Scalable Robot Imitation Learning},
author = {Yang, Yue and Ikeda, Bryce and Bertasius, Gedas and Szafir, Daniel},
booktitle = {7th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions (VAM-HRI)},
year = {2024}
}
Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI)
@inproceedings{yang2024enhancing,
title = {Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding},
author = {Yang, Yue and Chen, Letian and Zaidi, Zulfiqar and van Waveren, Sanne and Krishna, Arjun and Gombolay, Matthew},
booktitle = {Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
year = {2024}
}
Safe Inverse Reinforcement Learning via Control Barrier Function
Proceedings of CoRL Learning for Agile Robotics workshop, 2022
@inproceedings{yue2022cbfirl,
title = {Safe Inverse Reinforcement Learning via Control Barrier Function},
author = {Yang, Yue and Chen, Letian and Gombolay, Matthew},
booktitle = {Proceedings of CoRL Learning for Agile Robotics workshop},
year = {2022}
}
Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications
arXiv:2010.03468, 2020
@article{yang2020discriminative,
title = {Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications},
author = {Yang, Yue and Xie, Pengtao},
journal = {arXiv preprint arXiv:2010.03468},
year = {2020}
}
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms
arXiv:2007.04234, 2020
@article{yang2020transfer,
title = {Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms},
author = {Yang, Xingyi and He, Xuehai and Liang, Yuxiao and Yang, Yue and Zhang, Shanghang and Xie, Pengtao},
journal = {arXiv preprint arXiv:2007.04234},
year = {2020}
}
MedDialog: Large-scale Medical Dialogue Datasets
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
@inproceedings{zeng2020meddialog,
title = {MedDialog: Large-scale Medical Dialogue Datasets},
author = {Zeng, Guangtao and Yang, Wenmian and Ju, Zeqian and Yang, Yue and Wang, Sicheng and Zhang, Ruisi and Zhou, Meng and Zeng, Jiaqi and Dong, Xiangyu and Zhang, Ruoyu and Fang, Hongchao and Zhu, Penghui and Chen, Shu and Xie, Pengtao},
booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
year = {2020}
}
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Showing 7 selected papers.