| Open x-embodiment: Robotic learning datasets and rt-x models A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... International Conference on Robotics and Automation (ICRA), 2024 | 601* | 2024 |
| VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models W Huang, C Wang, R Zhang, Y Li, J Wu, L Fei-Fei Conference on Robot Learning (CoRL), 2023 | 505 | 2023 |
| BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ... Conference on Robot Learning (CoRL), 2022 | 196* | 2022 |
| Mimicplay: Long-horizon imitation learning by watching human play C Wang, L Fan, J Sun, R Zhang, L Fei-Fei, D Xu, Y Zhu, A Anandkumar Conference on Robot Learning (CoRL), 2023 | 157 | 2023 |
| Leveraging human guidance for deep reinforcement learning tasks R Zhang, F Torabi, L Guan, DH Ballard, P Stone International Joint Conference on Artificial Intelligence (IJCAI), 2019 | 118 | 2019 |
| Atari-head: Atari human eye-tracking and demonstration dataset R Zhang, C Walshe, Z Liu, L Guan, K Muller, J Whritner, L Zhang, ... AAAI Conference on Artificial Intelligence (AAAI), 2020 | 93 | 2020 |
| Dexcap: Scalable and portable mocap data collection system for dexterous manipulation C Wang, H Shi, W Wang, R Zhang, L Fei-Fei, CK Liu Robotics: Science and Systems (RSS), 2024 | 90 | 2024 |
| Agil: Learning attention from human for visuomotor tasks R Zhang, Z Liu, L Zhang, JA Whritner, KS Muller, MM Hayhoe, DH Ballard European Conference on Computer Vision (ECCV), 2018 | 88 | 2018 |
| Human gaze assisted artificial intelligence: a review R Zhang, A Saran, B Liu, Y Zhu, S Guo, S Niekum, D Ballard, M Hayhoe International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 77 | 2020 |
| ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation W Huang, C Wang, Y Li, R Zhang, L Fei-Fei Conference on Robot Learning (CoRL), 2024 | 67 | 2024 |
| Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L Guan, M Verma, S Guo, R Zhang, S Kambhampati Conference on Neural Information Processing Systems (NeurIPS), 2021 | 64* | 2021 |
| Efficiently guiding imitation learning algorithms with human gaze A Saran, R Zhang, ES Short, S Niekum International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020 | 38* | 2020 |
| Recent advances in leveraging human guidance for sequential decision-making tasks R Zhang, F Torabi, G Warnell, P Stone Autonomous Agents and Multi-Agent Systems 35 (2), 31, 2021 | 36 | 2021 |
| Fast and precise black and white ball detection for robocup soccer J Menashe, J Kelle, K Genter, J Hanna, E Liebman, S Narvekar, R Zhang, ... Robot World Cup, 2017 | 34 | 2017 |
| Machine versus Human Attention in Deep Reinforcement Learning Tasks S Guo, R Zhang, B Liu, Y Zhu, M Hayhoe, D Ballard, P Stone Conference on Neural Information Processing Systems (NeurIPS), 2021 | 33* | 2021 |
| Model checking for safe navigation among humans S Junges, N Jansen, JP Katoen, U Topcu, R Zhang, M Hayhoe Quantitative Evaluation of Systems: 15th International Conference, QEST 2018 …, 2018 | 31* | 2018 |
| An initial attempt of combining visual selective attention with deep reinforcement learning L Yuezhang, R Zhang, DH Ballard arXiv preprint arXiv:1811.04407, 2018 | 27 | 2018 |
| TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction Y Jiang, C Wang, R Zhang, J Wu, L Fei-Fei Conference on Robot Learning (CoRL), 2024 | 24 | 2024 |
| Interaction Modeling with Multiplex Attention FY Sun, I Kauvar, R Zhang, J Li, M Kochenderfer, J Wu, N Haber Conference on Neural Information Processing Systems (NeurIPS), 2022 | 24 | 2022 |
| Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making M Li, S Zhao, Q Wang, K Wang, Y Zhou, S Srivastava, C Gokmen, T Lee, ... NeurIPS Datasets and Benchmarks, 2024 | 22 | 2024 |
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
