| 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 | 470* | 2024 |
| Text2motion: From natural language instructions to feasible plans K Lin, C Agia, T Migimatsu, M Pavone, J Bohg Autonomous Robots 47 (8), 1345-1365, 2023 | 276 | 2023 |
| S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds R Cheng, C Agia, Y Ren, X Li, B Liu 2020 Conference on Robot Learning (CoRL), 2020 | 135 | 2020 |
| Droid: A large-scale in-the-wild robot manipulation dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024 | 119 | 2024 |
| A sim-to-real pipeline for deep reinforcement learning for autonomous robot navigation in cluttered rough terrain H Hu, K Zhang, AH Tan, M Ruan, C Agia, G Nejat IEEE Robotics and Automation Letters 6 (4), 6569-6576, 2021 | 93 | 2021 |
| Taskography: Evaluating robot task planning over large 3d scene graphs C Agia, KM Jatavallabhula, M Khodeir, O Miksik, V Vineet, M Mukadam, ... Conference on Robot Learning, 46-58, 2022 | 71 | 2022 |
| Semantic anomaly detection with large language models A Elhafsi, R Sinha, C Agia, E Schmerling, IAD Nesnas, M Pavone Autonomous Robots 47 (8), 1035-1055, 2023 | 66 | 2023 |
| STAP: Sequencing Task-Agnostic Policies C Agia, T Migimatsu, J Wu, J Bohg arXiv preprint arXiv:2210.12250, 2022 | 35* | 2022 |
| Real-time anomaly detection and reactive planning with large language models R Sinha, A Elhafsi, C Agia, M Foutter, E Schmerling, M Pavone arXiv preprint arXiv:2407.08735, 2024 | 20 | 2024 |
| Lightweight semantic-aided localization with spinning LiDAR sensor Y Ren, B Liu, R Cheng, C Agia IEEE Transactions on Intelligent Vehicles, 2021 | 15 | 2021 |
| Depth Prediction for Monocular Direct Visual Odometry. R Cheng, C Agia, D Meger, G Dudek CRV, 70-77, 2020 | 6 | 2020 |
| Unpacking failure modes of generative policies: Runtime monitoring of consistency and progress C Agia, R Sinha, J Yang, Z Cao, R Antonova, M Pavone, J Bohg arXiv preprint arXiv:2410.04640, 2024 | 4 | 2024 |
| Latent attention augmentation for robust autonomous driving policies R Cheng, C Agia, F Shkurti, D Meger, G Dudek 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 4 | 2021 |
| Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators C Agia, GC Vila, S Bandyopadhyay, DS Bayard, KM Cheung, CH Lee, ... 2024 IEEE Aerospace Conference, 1-20, 2024 | 3 | 2024 |
| Methods and systems for semantic scene completion for sparse 3D data R Cheng, CG Agia, B Liu, Y Ren US Patent 12,079,970, 2024 | 1 | 2024 |
| Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Y Huang, C Agia, J Wu, T Hermans, J Bohg arXiv preprint arXiv:2408.14769, 2024 | 1 | 2024 |
| Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction J Thumm, C Agia, M Pavone, M Althoff arXiv preprint arXiv:2408.06105, 2024 | 1 | 2024 |
| RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling MB Bazzi, AA Shahid, C Agia, J Alora, M Forgione, D Piga, F Braghin, ... arXiv preprint arXiv:2409.11815, 2024 | | 2024 |
| Adapting a Foundation Model for Space-based Tasks M Foutter, P Bhoj, R Sinha, A Elhafsi, S Banerjee, C Agia, J Kruger, ... arXiv preprint arXiv:2408.05924, 2024 | | 2024 |
| Systems and methods for generating a road surface semantic segmentation map from a sequence of point clouds CG Agia, R Cheng, Y Ren, B Liu US Patent 12,008,762, 2024 | | 2024 |
Marco PavoneStanford University and NVIDIAE-mailová adresa ověřena na: stanford.edu