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, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 357* | 2024 |
Towards a unified agent with foundation models N Di Palo, A Byravan, L Hasenclever, M Wulfmeier, N Heess, ... arXiv preprint arXiv:2307.09668, 2023 | 52 | 2023 |
Demonstrate once, imitate immediately (dome): Learning visual servoing for one-shot imitation learning E Valassakis, G Papagiannis, N Di Palo, E Johns 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 39* | 2022 |
Language models as zero-shot trajectory generators T Kwon, N Di Palo, E Johns IEEE Robotics and Automation Letters, 2024 | 25 | 2024 |
Learning Multi-Stage Tasks with One Demonstration via Self-Replay N Di Palo, E Johns 5th Annual Conference on Robot Learning, 2021, 2021 | 23 | 2021 |
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces E Valassakis, N Di Palo, E Johns 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 21 | 2021 |
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics N Di Palo, E Johns Robotics: Science and Systems (RSS) 2024, 2024 | 17 | 2024 |
Regularizing trajectory optimization with denoising autoencoders R Boney, N Di Palo, M Berglund, A Ilin, J Kannala, A Rasmus, H Valpola Advances in Neural Information Processing Systems 32 (2019): 2859-2869, 2019 | 15 | 2019 |
DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models N Di Palo, E Johns International Conference on Robotics and Automation (ICRA 2024), 2024 | 14 | 2024 |
SAFARI: Safe and Active Robot Imitation Learning with Imagination N Di Palo, E Johns NeurIPS 2020 Workshop on Robot Learning: Control and Interaction in the Real …, 2020 | 9 | 2020 |
R+X: Retrieval and execution from everyday human videos G Papagiannis, N Di Palo, P Vitiello, E Johns arXiv preprint arXiv:2407.12957, 2024 | 6 | 2024 |
On the effectiveness of retrieval, alignment, and replay in manipulation N Di Palo, E Johns IEEE Robotics and Automation Letters, 2024 | 5 | 2024 |
Improving model-based control and active exploration with reconstruction uncertainty optimization N Di Palo, H Valpola arXiv preprint arXiv:1812.03955, 2018 | 3 | 2018 |
Controlling agents using sub-goals generated by language model neural networks N Di Palo, A Byravan, NMO Heess, M Riedmiller, L Hasenclever, ... US Patent App. 18/443,285, 2024 | | 2024 |
Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning N Di Palo, L Hasenclever, J Humplik, A Byravan arXiv preprint arXiv:2407.20798, 2024 | | 2024 |