Edward Johns

According to our database, Edward Johns authored at least 62 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Language Models as Zero-Shot Trajectory Generators.

Teyun Kwon, Norman Di Palo, Edward Johns

IEEE Robotics Autom. Lett., July, 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

On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation.

Norman Di Palo, Edward Johns

IEEE Robotics Autom. Lett., 2024

MILES: Making Imitation Learning Easy with Self-Supervision.

Georgios Papagiannis, Edward Johns

CoRR, 2024

Adapting Skills to Novel Grasps: A Self-Supervised Approach.

Georgios Papagiannis, Kamil Dreczkowski, Vitalis Vosylius, Edward Johns

CoRR, 2024

R+X: Retrieval and Execution from Everyday Human Videos.

Georgios Papagiannis, Norman Di Palo, Pietro Vitiello, Edward Johns

CoRR, 2024

Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics.

Norman Di Palo, Edward Johns

CoRR, 2024

DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models.

Norman Di Palo, Edward Johns

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models.

Ivan Kapelyukh, Yifei Ren, Ignacio Alzugaray, Edward Johns

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics.

Ivan Kapelyukh, Vitalis Vosylius, Edward Johns

IEEE Robotics Autom. Lett., July, 2023

SceneScore: Learning a Cost Function for Object Arrangement.

Ivan Kapelyukh, Edward Johns

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, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.

CoRR, 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

Learning Tethered Perching for Aerial Robots.

Fabian Hauf, Basaran Bahadir Kocer, Alan Slatter, Hai-Nguyen Nguyen, Oscar Pang, Ronald Clark, Edward Johns, Mirko Kovac

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Few-Shot In-Context Imitation Learning via Implicit Graph Alignment.

Vitalis Vosylius, Edward Johns

Proceedings of the Conference on Robot Learning, 2023

One-Shot Imitation Learning: A Pose Estimation Perspective.

Pietro Vitiello, Kamil Dreczkowski, Edward Johns

Proceedings of the Conference on Robot Learning, 2023

2022

Auto-Lambda: Disentangling Dynamic Task Relationships.

Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns

Trans. Mach. Learn. Res., 2022

AGO-Net: Association-Guided 3D Point Cloud Object Detection Network.

Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning.

Eugene Valassakis, Georgios Papagiannis, Norman Di Palo, Edward Johns

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Bootstrapping Semantic Segmentation with Regional Contrast.

Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison

Proceedings of the Tenth International Conference on Learning Representations, 2022

Where To Start? Transferring Simple Skills to Complex Environments.

Vitalis Vosylius, Edward Johns

Proceedings of the Conference on Robot Learning, 2022

Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter.

Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison

Proceedings of the Conference on Robot Learning, 2022

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

Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace.

Eugene Valassakis, Norman Di Palo, Edward Johns

CoRR, 2021

Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces.

Eugene Valassakis, Norman Di Palo, Edward Johns

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Hybrid ICP.

Kamil Dreczkowski, Edward Johns

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration.

Edward Johns

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer.

Raghad Alghonaim, Edward Johns

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Eye-in-Hand Camera Calibration from a Single Image.

Eugene Valassakis, Kamil Dreczkowski, Edward Johns

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning Multi-Stage Tasks with One Demonstration via Self-Replay.

Norman Di Palo, Edward Johns

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

My House, My Rules: Learning Tidying Preferences with Graph Neural Networks.

Ivan Kapelyukh, Edward Johns

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Back to Reality for Imitation Learning.

Edward Johns

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Constrained-Space Optimization and Reinforcement Learning for Complex Tasks.

Ya-Yen Tsai, Bo Xiao, Edward Johns, Guang-Zhong Yang

IEEE Robotics Autom. Lett., 2020

SAFARI: Safe and Active Robot Imitation Learning with Imagination.

Norman Di Palo, Edward Johns

CoRR, 2020

Crossing the Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics.

Eugene Valassakis, Zihan Ding, Edward Johns

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning.

Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sim-to-Real Transfer for Optical Tactile Sensing.

Zihan Ding, Nathan F. Lepora, Edward Johns

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Shape Adaptor: A Learnable Resizing Module.

Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Self-Supervised Generalisation with Meta Auxiliary Learning.

Shikun Liu, Andrew J. Davison, Edward Johns

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

End-To-End Multi-Task Learning With Attention.

Shikun Liu, Edward Johns, Andrew J. Davison

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery.

Menglong Ye, Edward Johns, Ankur Handa, Lin Zhang, Philip Pratt, Guang-Zhong Yang

CoRR, 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

Application-oriented design space exploration for SLAM algorithms.

Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

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

Stephen James, Andrew J. Davison, Edward Johns

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

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

Stephen James, Edward Johns

CoRR, 2016

PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors.

Vassileios Balntas, Edward Johns, Lilian Tang, Krystian Mikolajczyk

CoRR, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep learning a grasp function for grasping under gripper pose uncertainty.

Edward Johns, Stefan Leutenegger, Andrew J. Davison

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Pairwise Decomposition of Image Sequences for Active Multi-view Recognition.

Edward Johns, Stefan Leutenegger, Andrew J. Davison

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Becoming the expert - interactive multi-class machine teaching.

Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Generative Methods for Long-Term Place Recognition in Dynamic Scenes.

Edward Johns, Guang-Zhong Yang

Int. J. Comput. Vis., 2014

Online Scene Association for Endoscopic Navigation.

Menglong Ye, Edward Johns, Stamatia Giannarou, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Pairwise Probabilistic Voting: Fast Place Recognition without RANSAC.

Edward David Johns, Guang-Zhong Yang

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Feature Co-occurrence Maps: Appearance-based localisation throughout the day.

Edward Johns, Guang-Zhong Yang

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Dynamic scene models for incremental, long-term, appearance-based localisation.

Edward Johns, Guang-Zhong Yang

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

An Intelligent Food-Intake Monitoring System Using Wearable Sensors.

Jindong Liu, Edward Johns, Louis Atallah, Claire Pettitt, Benny Lo, Gary Frost, Guang-Zhong Yang

Proceedings of the 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks, 2012

2011

A scene-associated training method for mobile robot speech recognition in multisource reverberated environments.

Jindong Liu, Edward Johns, Guang-Zhong Yang

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Global localization in a dense continuous topological map.

Edward Johns, Guang-Zhong Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

From images to scenes: Compressing an image cluster into a single scene model for place recognition.

Edward Johns, Guang-Zhong Yang

Proceedings of the IEEE International Conference on Computer Vision, 2011

Place Recognition and Online Learning in Dynamic Scenes with Spatio-Temporal Landmarks.

Edward Johns, Guang-Zhong Yang

Proceedings of the British Machine Vision Conference, 2011

2010

Scene association for mobile robot navigation.

Edward Johns, Guang-Zhong Yang

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010