2021

  1. Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation James, Stephen, Wada, Kentaro, Laidlow, Tristan, and Davison, Andrew J arXiv preprint arXiv:2106.12534 2021
  2. Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation James, Stephen, and Davison, Andrew J arXiv preprint arXiv:2105.14829 2021
  3. End-to-End Egospheric Spatial Memory Lenton, Daniel James, James, Stephen, Clark, Ronald, and Davison, Andrew In International Conference on Learning Representations 2021
  4. Ivy: Templated deep learning for inter-framework portability Lenton, Daniel, Pardo, Fabio, Falck, Fabian, James, Stephen, and Clark, Ronald arXiv preprint arXiv:2102.02886 2021
  5. SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks Landgraf, Zoe, Scona, Raluca, Laidlow, Tristan, James, Stephen, Leutenegger, Stefan, and Davison, Andrew J arXiv preprint arXiv:2103.16442 2021
  6. Waypoint Planning Networks Toma, Alexandru-Iosif, Jaafar, Hussein Ali, Hsueh, Hao-Ya, James, Stephen, Lenton, Daniel, Clark, Ronald, and Saeedi, Sajad Conference on Robots and Vision 2021

2020

  1. MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion Wada, Kentaro, Sucar, Edgar, James, Stephen, Lenton, Daniel, and Davison, Andrew J In Conference on Computer Vision and Pattern Recognition 2020
  2. RLBench: The Robot Learning Benchmark & Learning Environment James, Stephen, Ma, Zicong, Arrojo, David Rovick, and Davison, Andrew J IEEE Robotics and Automation Letters 2020
  3. Learning One-Shot Imitation from Humans without Humans Bonardi, Alessandro, James, Stephen, and Davison, Andrew J IEEE Robotics and Automation Letters 2020

2019

  1. Pyrep: Bringing V-Rep to Deep Robot Learning James, Stephen, Freese, Marc, and Davison, Andrew J arXiv preprint arXiv:1906.11176 2019
  2. Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks James, Stephen, Wohlhart, Paul, Kalakrishnan, Mrinal, Kalashnikov, Dmitry, Irpan, Alex, Ibarz, Julian, Levine, Sergey, Hadsell, Raia, and Bousmalis, Konstantinos In Conference on Computer Vision and Pattern Recognition 2019

2018

  1. Task-Embedded Control Networks for Few-Shot Imitation Learning James, Stephen, Bloesch, Michael, and Davison, Andrew J In Conference on Robot Learning 2018
  2. Sim-to-Real Reinforcement Learning for Deformable Object Manipulation Matas, Jan, James, Stephen, and Davison, Andrew J In Conference on Robot Learning 2018

2017

  1. Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task James, Stephen, Davison, Andrew J, and Johns, Edward In Conference on Robot Learning 2017

2016

  1. 3D Simulation for Robot Arm Control with Deep Q-Learning James, Stephen, and Johns, Edward NeurIPS 2016 Workshop (Deep Learning for Action and Interaction) 2016