Johns, Edward
Imperial College London
12 papers on CoChatORCID 0000-0002-8914-8786
Most cited papers
- Verified
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0
O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 210
- Verified
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
James, S., Davison, A. J., & Johns, E. (2017) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 208
- Verified
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration
Johns, E. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA)
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 119
- Verified
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 111
- Verified
Language Models as Zero-Shot Trajectory Generators
Kwon, T., Palo, N. D., & Johns, E. (2024) · IEEE Robotics and Automation Letters
Robot Manipulation and LearningAI-based Problem Solving and Planning
Cited by 59
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Sim-to-Real Transfer for Optical Tactile Sensing
Ding, Z., Lepora, N. F., & Johns, E. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA)
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 53
- Verified
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning
Valassakis, E., Papagiannis, G., Di Palo, N., & Johns, E. (2022) · 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 32
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Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces
Valassakis, E., Di Palo, N., & Johns, E. (2021) · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 17
- Verified
On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation
Palo, N. D., & Johns, E. (2024) · IEEE Robotics and Automation Letters
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 14
- Verified
On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation
Di Palo, N., & Johns, E. (2023) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 12
- Verified
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Di Palo, N., & Johns, E. (2021) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 8
- Verified
Where To Start? Transferring Simple Skills to Complex Environments
Vosylius, V., & Johns, E. (2022) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 2
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