Scene association for mobile robot navigation. - Edward Johns; Guang-Zhong Yang (IROS, 2010)

Place Recognition and Online Learning in Dynamic Scenes with Spatio-Temporal Landmarks. - Edward Johns; Guang-Zhong Yang (BMVC, 2011)

From images to scenes: Compressing an image cluster into a single scene model for place recognition. - Edward Johns; Guang-Zhong Yang (ICCV, 2011)

Global localization in a dense continuous topological map. - Edward Johns; Guang-Zhong Yang (ICRA, 2011)

A scene-associated training method for mobile robot speech recognition in multisource reverberated environments. - Jindong Liu; Edward Johns; Guang-Zhong Yang (IROS, 2011)

An Intelligent Food-Intake Monitoring System Using Wearable Sensors. - Jindong Liu; Edward Johns; Louis Atallah; Claire Pettitt; Benny Lo; Gary S. Frost; Guang-Zhong Yang (BSN, 2012)

Dynamic scene models for incremental, long-term, appearance-based localisation. - Edward Johns; Guang-Zhong Yang (ICRA, 2013)

Feature Co-occurrence Maps: Appearance-based localisation throughout the day. - Edward Johns; Guang-Zhong Yang (ICRA, 2013)

Pairwise Probabilistic Voting: Fast Place Recognition without RANSAC. - Edward David Johns; Guang-Zhong Yang (ECCV (2), 2014)

Online Scene Association for Endoscopic Navigation. - Menglong Ye; Edward Johns; Stamatia Giannarou; Guang-Zhong Yang (MICCAI (2), 2014)

Generative Methods for Long-Term Place Recognition in Dynamic Scenes. - Edward Johns; Guang-Zhong Yang (Int. J. Comput. Vis., 2014)

Becoming the expert - interactive multi-class machine teaching. - Edward Johns; Oisin Mac Aodha; Gabriel J. Brostow (CVPR, 2015)

Pairwise Decomposition of Image Sequences for Active Multi-view Recognition. - Edward Johns; Stefan Leutenegger; Andrew J. Davison (CVPR, 2016)

Deep learning a grasp function for grasping under gripper pose uncertainty. - Edward Johns; Stefan Leutenegger; Andrew J. Davison (IROS, 2016)

Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy. - Menglong Ye; Edward Johns; Benjamin M. Walter; Alexander Meining; Guang-Zhong Yang (MICCAI (1), 2016)

PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors. - Vassileios Balntas; Edward Johns; Lilian Tang; Krystian Mikolajczyk (CoRR, 2016)

3D Simulation for Robot Arm Control with Deep Q-Learning. - Stephen James; Edward Johns (CoRR, 2016)

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. - Stephen James; Andrew J. Davison; Edward Johns (CoRL, 2017)

Application-oriented design space exploration for SLAM algorithms. - Sajad Saeedi 001; Luigi Nardi; Edward Johns; Bruno Bodin; Paul H. J. Kelly; Andrew J. Davison (ICRA, 2017)

An image retrieval framework for real-time endoscopic image retargeting. - Menglong Ye; Edward Johns; Benjamin M. Walter; Alexander Meining; Guang-Zhong Yang (Int. J. Comput. Assist. Radiol. Surg., 2017)

Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery. - Menglong Ye; Edward Johns; Ankur Handa; Lin Zhang 021; Philip Pratt; Guang-Zhong Yang (CoRR, 2017)

End-To-End Multi-Task Learning With Attention. - Shikun Liu; Edward Johns; Andrew J. Davison (CVPR, 2019)

Self-Supervised Generalisation with Meta Auxiliary Learning. - Shikun Liu; Andrew J. Davison; Edward Johns (NeurIPS, 2019)

Shape Adaptor: A Learnable Resizing Module. - Shikun Liu; Zhe Lin 001; Yilin Wang 002; Jianming Zhang 001; Federico Perazzi; Edward Johns (ECCV (12), 2020)

Sim-to-Real Transfer for Optical Tactile Sensing. - Zihan Ding; Nathan F. Lepora; Edward Johns (ICRA, 2020)

Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. - Guillermo Garcia-Hernando; Edward Johns; Tae-Kyun Kim 001 (IROS, 2020)

Crossing the Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. - Eugene Valassakis; Zihan Ding; Edward Johns (IROS, 2020)

SAFARI: Safe and Active Robot Imitation Learning with Imagination. - Norman Di Palo; Edward Johns (CoRR, 2020)

Constrained-Space Optimization and Reinforcement Learning for Complex Tasks. - Ya-Yen Tsai; Bo Xiao 002; Edward Johns; Guang-Zhong Yang (IEEE Robotics Autom. Lett., 2020)

Back to Reality for Imitation Learning. - Edward Johns (CoRL, 2021)

My House, My Rules: Learning Tidying Preferences with Graph Neural Networks. - Ivan Kapelyukh; Edward Johns (CoRL, 2021)

Learning Multi-Stage Tasks with One Demonstration via Self-Replay. - Norman Di Palo; Edward Johns (CoRL, 2021)

Learning Eye-in-Hand Camera Calibration from a Single Image. - Eugene Valassakis; Kamil Dreczkowski; Edward Johns (CoRL, 2021)

Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer. - Raghad Alghonaim; Edward Johns (ICRA, 2021)

Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration. - Edward Johns (ICRA, 2021)

Hybrid ICP. - Kamil Dreczkowski; Edward Johns (IROS, 2021)

Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces. - Eugene Valassakis; Norman Di Palo; Edward Johns (IROS, 2021)

Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace. - Eugene Valassakis; Norman Di Palo; Edward Johns (CoRR, 2021)

DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration. - Ya-Yen Tsai; Hui Xu; Zihan Ding; Chong Zhang; Edward Johns; Bidan Huang (IEEE Robotics Autom. Lett., 2021)

Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter. - Iain Haughton; Edgar Sucar; André Mouton; Edward Johns; Andrew J. Davison (CoRL, 2022)

Where To Start? Transferring Simple Skills to Complex Environments. - Vitalis Vosylius; Edward Johns (CoRL, 2022)

Bootstrapping Semantic Segmentation with Regional Contrast. - Shikun Liu; Shuaifeng Zhi; Edward Johns; Andrew J. Davison (ICLR, 2022)

Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning. - Eugene Valassakis; Georgios Papagiannis; Norman Di Palo; Edward Johns (IROS, 2022)

AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. - Liang Du 004; Xiaoqing Ye; Xiao Tan 001; Edward Johns; Bo Chen; Errui Ding; Xiangyang Xue 001; Jianfeng Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Auto-Lambda: Disentangling Dynamic Task Relationships. - Shikun Liu; Stephen James; Andrew J. Davison; Edward Johns (Trans. Mach. Learn. Res., 2022)

One-Shot Imitation Learning: A Pose Estimation Perspective. - Pietro Vitiello; Kamil Dreczkowski; Edward Johns (CoRL, 2023)

Few-Shot In-Context Imitation Learning via Implicit Graph Alignment. - Vitalis Vosylius; Edward Johns (CoRL, 2023)

Learning Tethered Perching for Aerial Robots. - Fabian Hauf; Basaran Bahadir Kocer; Alan Slatter; Hai-Nguyen Nguyen; Oscar Pang; Ronald Clark; Edward Johns; Mirko Kovac (ICRA, 2023)

Prismer: A Vision-Language Model with An Ensemble of Experts. - Shikun Liu; Linxi Fan; Edward Johns; Zhiding Yu; Chaowei Xiao; Anima Anandkumar (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models. - Open X.-Embodiment Collaboration; Abhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alexander Herzog; Alex Irpan; Alexander Khazatsky; Anant Raj; Anikait Singh; Anthony Brohan; Antonin Raffin; et al. (CoRR, 2023)

SceneScore: Learning a Cost Function for Object Arrangement. - Ivan Kapelyukh; Edward Johns (CoRR, 2023)

DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics. - Ivan Kapelyukh; Vitalis Vosylius; Edward Johns (IEEE Robotics Autom. Lett., 2023)

MILES: Making Imitation Learning Easy with Self-Supervision. - Georgios Papagiannis; Edward Johns (CoRL, 2024)

Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models. - Ivan Kapelyukh; Yifei Ren; Ignacio Alzugaray; Edward Johns (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models. - Norman Di Palo; Edward Johns (ICRA, 2024)

Adapting Skills to Novel Grasps: A Self-Supervised Approach. - Georgios Papagiannis; Kamil Dreczkowski; Vitalis Vosylius; Edward Johns (IROS, 2024)

Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics. - Norman Di Palo; Edward Johns (Robotics: Science and Systems, 2024)

R+X: Retrieval and Execution from Everyday Human Videos. - Georgios Papagiannis; Norman Di Palo; Pietro Vitiello; Edward Johns (CoRR, 2024)

On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation. - Norman Di Palo; Edward Johns (IEEE Robotics Autom. Lett., 2024)

Prismer: A Vision-Language Model with Multi-Task Experts. - Shikun Liu; Linxi Fan; Edward Johns; Zhiding Yu; Chaowei Xiao; Anima Anandkumar (Trans. Mach. Learn. Res., 2024)

Language Models as Zero-Shot Trajectory Generators. - Teyun Kwon; Norman Di Palo; Edward Johns (IEEE Robotics Autom. Lett., 2024)

Instant Policy: In-Context Imitation Learning via Graph Diffusion. - Vitalis Vosylius; Edward Johns (ICLR, 2025)

One-Shot Dual-Arm Imitation Learning. - Yilong Wang; Edward Johns (CoRR, 2025)