| 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 | 317 | 2019 |
| 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 | 240 | 2017 |
| Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J Matas, S James, AJ Davison Conference on Robot Learning, 2018 | 229 | 2018 |
| 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 | 143 | 2020 |
| 3D Simulation for Robot Arm Control with Deep Q-Learning S James, E Johns NIPS 2016 Workshop (Deep Learning for Action and Interaction), 2016 | 92 | 2016 |
| Pyrep: Bringing v-rep to deep robot learning S James, M Freese, AJ Davison arXiv preprint arXiv:1906.11176, 2019 | 86 | 2019 |
| Task-Embedded Control Networks for Few-Shot Imitation Learning S James, M Bloesch, AJ Davison Conference on Robot Learning, 2018 | 76 | 2018 |
| 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 | 49 | 2020 |
| Learning one-shot imitation from humans without humans A Bonardi, S James, AJ Davison IEEE Robotics and Automation Letters 5 (2), 3533-3539, 2020 | 36 | 2020 |
| 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 | 11 | 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 | 7 | 2022 |
| SafePicking: Learning safe object extraction via object-level mapping K Wada, S James, AJ Davison arXiv preprint arXiv:2202.05832, 2022 | 4 | 2022 |
| Waypoint planning networks AI Toma, HA Jaafar, HY Hsueh, S James, D Lenton, R Clark, S Saeedi arXiv preprint arXiv:2105.00312, 2021 | 4 | 2021 |
| Ivy: Templated deep learning for inter-framework portability D Lenton, F Pardo, F Falck, S James, R Clark arXiv preprint arXiv:2102.02886, 2021 | 4 | 2021 |
| End-to-End Egospheric Spatial Memory D Lenton, S James, R Clark, AJ Davison International Conference on Learning Representations, 2020 | 4 | 2020 |
| Coarse-to-Fine Q-attention with Learned Path Ranking S James, P Abbeel arXiv preprint arXiv:2204.01571, 2022 | 3 | 2022 |
| ReorientBot: Learning Object Reorientation for Specific-Posed Placement K Wada, S James, AJ Davison arXiv preprint arXiv:2202.11092, 2022 | 3 | 2022 |
| Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning S James, P Abbeel arXiv preprint arXiv:2202.03957, 2022 | 3 | 2022 |
| 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 | 2 | 2022 |
| Coarse-to-fine Q-attention with Tree Expansion S James, P Abbeel arXiv preprint arXiv:2204.12471, 2022 | 2 | 2022 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonVerified email at doc.ic.ac.uk
