| Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks S James, P Wohlhart, M Kalakrishnan, D Kalashnikov, A Irpan, J Ibarz, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 521 | 2019 |
| Rlbench: The robot learning benchmark & learning environment S James, Z Ma, DR Arrojo, AJ Davison IEEE Robotics and Automation Letters 5 (2), 3019-3026, 2020 | 441 | 2020 |
| Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J Matas, S James, AJ Davison Conference on Robot Learning, 2018 | 412 | 2018 |
| Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task S James, AJ Davison, E Johns Conference on Robot Learning, 2017 | 332 | 2017 |
| Real-world robot learning with masked visual pre-training I Radosavovic, T Xiao, S James, P Abbeel, J Malik, T Darrell Conference on Robot Learning, 416-426, 2023 | 192 | 2023 |
| Pyrep: Bringing v-rep to deep robot learning S James, M Freese, AJ Davison arXiv preprint arXiv:1906.11176, 2019 | 143 | 2019 |
| Task-Embedded Control Networks for Few-Shot Imitation Learning S James, M Bloesch, AJ Davison Conference on Robot Learning, 2018 | 140 | 2018 |
| 3D Simulation for Robot Arm Control with Deep Q-Learning S James, E Johns NIPS 2016 Workshop (Deep Learning for Action and Interaction), 2016 | 121 | 2016 |
| Coarse-to-fine q-attention: Efficient learning for visual robotic manipulation via discretisation S James, K Wada, T Laidlow, AJ Davison Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 102 | 2022 |
| Masked world models for visual control Y Seo, D Hafner, H Liu, F Liu, S James, K Lee, P Abbeel Conference on Robot Learning, 1332-1344, 2023 | 101 | 2023 |
| Morefusion: Multi-object reasoning for 6d pose estimation from volumetric fusion K Wada, E Sucar, S James, D Lenton, AJ Davison Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 98 | 2020 |
| Reinforcement learning with action-free pre-training from videos Y Seo, K Lee, SL James, P Abbeel International Conference on Machine Learning, 19561-19579, 2022 | 96 | 2022 |
| Q-attention: Enabling efficient learning for vision-based robotic manipulation S James, AJ Davison IEEE Robotics and Automation Letters 7 (2), 1612-1619, 2022 | 95 | 2022 |
| Learning one-shot imitation from humans without humans A Bonardi, S James, AJ Davison IEEE Robotics and Automation Letters 5 (2), 3533-3539, 2020 | 80 | 2020 |
| Auto-lambda: Disentangling dynamic task relationships S Liu, S James, AJ Davison, E Johns arXiv preprint arXiv:2202.03091, 2022 | 58 | 2022 |
| Multi-view masked world models for visual robotic manipulation Y Seo, J Kim, S James, K Lee, J Shin, P Abbeel International Conference on Machine Learning, 30613-30632, 2023 | 37 | 2023 |
| On the effectiveness of fine-tuning versus meta-reinforcement learning Z Mandi, P Abbeel, S James arXiv preprint arXiv:2206.03271, 2022 | 32 | 2022 |
| Reorientbot: Learning object reorientation for specific-posed placement K Wada, S James, AJ Davison 2022 International Conference on Robotics and Automation (ICRA), 8252-8258, 2022 | 27 | 2022 |
| Sim-to-real 6d object pose estimation via iterative self-training for robotic bin picking K Chen, R Cao, S James, Y Li, YH Liu, P Abbeel, Q Dou European Conference on Computer Vision, 533-550, 2022 | 19 | 2022 |
| Coarse-to-fine q-attention with learned path ranking S James, P Abbeel arXiv preprint arXiv:2204.01571, 2022 | 17 | 2022 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonPotvrđena adresa e-pošte na doc.ic.ac.uk
