| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 440* | 2024 |
| Active reward learning from critiques Y Cui, S Niekum 2018 IEEE international conference on robotics and automation (ICRA), 6907-6914, 2018 | 108 | 2018 |
| Indoor follow me drone W Mao, Z Zhang, L Qiu, J He, Y Cui, S Yun Proceedings of the 15th annual international conference on mobile systems …, 2017 | 101 | 2017 |
| Can foundation models perform zero-shot task specification for robot manipulation? Y Cui, S Niekum, A Gupta, V Kumar, A Rajeswaran Learning for dynamics and control conference, 893-905, 2022 | 87 | 2022 |
| Risk-aware active inverse reinforcement learning DS Brown, Y Cui, S Niekum Conference on Robot Learning, 362-372, 2018 | 81 | 2018 |
| No, to the right: Online language corrections for robotic manipulation via shared autonomy Y Cui, S Karamcheti, R Palleti, N Shivakumar, P Liang, D Sadigh Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot …, 2023 | 77* | 2023 |
| The empathic framework for task learning from implicit human feedback Y Cui, Q Zhang, B Knox, A Allievi, P Stone, S Niekum Conference on Robot Learning, 604-626, 2021 | 74 | 2021 |
| Uncertainty-aware data aggregation for deep imitation learning Y Cui, D Isele, S Niekum, K Fujimura 2019 International Conference on Robotics and Automation (ICRA), 761-767, 2019 | 62* | 2019 |
| Data quality in imitation learning S Belkhale, Y Cui, D Sadigh Advances in Neural Information Processing Systems 36, 2024 | 35 | 2024 |
| Understanding the relationship between interactions and outcomes in human-in-the-loop machine learning Y Cui, P Koppol, H Admoni, S Niekum, R Simmons, A Steinfeld, ... International Joint Conference on Artificial Intelligence, 2021 | 34 | 2021 |
| Distilling and retrieving generalizable knowledge for robot manipulation via language corrections L Zha, Y Cui, LH Lin, M Kwon, MG Arenas, A Zeng, F Xia, D Sadigh 2024 IEEE International Conference on Robotics and Automation (ICRA), 15172 …, 2024 | 31 | 2024 |
| Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media. J Chae, Y Cui, Y Jang, G Wang, A Malik, DS Ebert EuroVA@ EuroVis, 43-47, 2015 | 27 | 2015 |
| Hydra: Hybrid robot actions for imitation learning S Belkhale, Y Cui, D Sadigh Conference on Robot Learning, 2113-2133, 2023 | 24 | 2023 |
| Modeling sensory-motor decisions in natural behavior R Zhang, S Zhang, MH Tong, Y Cui, CA Rothkopf, DH Ballard, ... PLoS computational biology 14 (10), e1006518, 2018 | 15 | 2018 |
| Gesture-informed robot assistance via foundation models LH Lin, Y Cui, Y Hao, F Xia, D Sadigh 7th Annual Conference on Robot Learning, 2023 | 10 | 2023 |
| Flowretrieval: Flow-guided data retrieval for few-shot imitation learning LH Lin, Y Cui, A Xie, T Hua, D Sadigh arXiv preprint arXiv:2408.16944, 2024 | 4 | 2024 |
| Shared Autonomy for Robotic Manipulation with Language Corrections S Karamcheti, R Palleti, Y Cui, P Liang, D Sadigh ACL Workshop on Learning with Natural Language Supervision, 2022 | 3 | 2022 |
| Aux-airl: End-to-end self-supervised reward learning for extrapolating beyond suboptimal demonstrations Y Cui, B Liu, A Saran, S Giguere, P Stone, S Niekum Proceedings of the ICML Workshop on Self-Supervised Learning for Reasoning …, 2021 | 3 | 2021 |
| Masked imitation learning: Discovering environment-invariant modalities in multimodal demonstrations Y Hao, R Wang, Z Cao, Z Wang, Y Cui, D Sadigh 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 2 | 2023 |
| Efficient algorithms for low-effort human teaching of robots Y Cui | | 2022 |
Scott NiekumAssociate Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
