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Stephen James
Stephen James
Dyson Robot Learning Lab
Dirección de correo verificada de dyson.com - Página principal
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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
4952019
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
J Matas, S James, AJ Davison
Conference on Robot Learning, 2018
3842018
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
3702020
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
3172017
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
1582023
Pyrep: Bringing v-rep to deep robot learning
S James, M Freese, AJ Davison
arXiv preprint arXiv:1906.11176, 2019
1292019
Task-Embedded Control Networks for Few-Shot Imitation Learning
S James, M Bloesch, AJ Davison
Conference on Robot Learning, 2018
1272018
3D Simulation for Robot Arm Control with Deep Q-Learning
S James, E Johns
NIPS 2016 Workshop (Deep Learning for Action and Interaction), 2016
1182016
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
942020
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
822023
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
792022
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
782022
Q-attention: Enabling efficient learning for vision-based robotic manipulation
S James, AJ Davison
IEEE Robotics and Automation Letters 7 (2), 1612-1619, 2022
762022
Learning one-shot imitation from humans without humans
A Bonardi, S James, AJ Davison
IEEE Robotics and Automation Letters 5 (2), 3533-3539, 2020
732020
Auto-lambda: Disentangling dynamic task relationships
S Liu, S James, AJ Davison, E Johns
arXiv preprint arXiv:2202.03091, 2022
522022
On the effectiveness of fine-tuning versus meta-reinforcement learning
Z Mandi, P Abbeel, S James
arXiv preprint arXiv:2206.03271, 2022
282022
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
272022
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
212023
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
162022
Coarse-to-fine Q-attention with learned path ranking
S James, P Abbeel
arXiv preprint arXiv:2204.01571, 2022
162022
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Artículos 1–20