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Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation


Jun 23, 2021
Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison

* Videos and code found at https://sites.google.com/view/c2f-q-attention 

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Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation


May 31, 2021
Stephen James, Andrew J. Davison

* Videos and code found at: https://sites.google.com/view/q-attention 

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Waypoint Planning Networks


May 01, 2021
Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi

* The Conference on Robots and Vision (CRV2021) Supplementary Website: https://sites.google.com/view/waypoint-planning-networks 

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SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks


Mar 30, 2021
Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison


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End-to-End Egospheric Spatial Memory


Feb 17, 2021
Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison

* Conference paper at ICLR 2021. Implementation: https://github.com/ivy-dl/memory Project page: https://djl11.github.io/ESM/ 

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Ivy: Templated Deep Learning for Inter-Framework Portability


Feb 15, 2021
Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark


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MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion


Apr 09, 2020
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison

* 10 pages, 10 figures, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020 

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Learning One-Shot Imitation from Humans without Humans


Nov 04, 2019
Alessandro Bonardi, Stephen James, Andrew J. Davison

* Videos can be found here: https://sites.google.com/view/tecnets-humans 

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RLBench: The Robot Learning Benchmark & Learning Environment


Sep 26, 2019
Stephen James, Zicong Ma, David Rovick Arrojo, Andrew J. Davison

* Videos and code: https://sites.google.com/view/rlbench 

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PyRep: Bringing V-REP to Deep Robot Learning


Jun 26, 2019
Stephen James, Marc Freese, Andrew J. Davison


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Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks


Mar 25, 2019
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis

* To be published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) 

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Sim-to-Real Reinforcement Learning for Deformable Object Manipulation


Oct 08, 2018
Jan Matas, Stephen James, Andrew J. Davison

* Published at the Conference on Robot Learning (CoRL) 2018 

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Task-Embedded Control Networks for Few-Shot Imitation Learning


Oct 08, 2018
Stephen James, Michael Bloesch, Andrew J. Davison

* Published at the Conference on Robot Learning (CoRL) 2018 

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Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task


Oct 17, 2017
Stephen James, Andrew J. Davison, Edward Johns

* 1st Conference on Robot Learning (CoRL 2017), Mountain View, United States 

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3D Simulation for Robot Arm Control with Deep Q-Learning


Dec 13, 2016
Stephen James, Edward Johns

* In NIPS 2016 Workshop: Deep Learning for Action and Interaction (https://sites.google.com/site/nips16interaction/

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