Scholar
Edward Johns
Google Scholar ID: dHec-LkAAAAJ
Associate Professor in Robot Learning at Imperial College London
Robot Learning
Robot Manipulation
Robotics
Computer Vision
Machine Learning
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Citations & Impact
All-time
Citations
5,533
H-index
29
i10-index
43
Publications
20
Co-authors
17
list available
Contact
No contact links provided.
Publications
9 items
Observer Actor: Active Vision Imitation Learning with Sparse View Gaussian Splatting
2025
Cited
0
Learning a thousand tasks in a day.
Science Robotics · 2025
Cited
0
Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions
2025
Cited
0
Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen)
2025
Cited
0
One-Shot Dual-Arm Imitation Learning
2025
Cited
0
Instant Policy: In-Context Imitation Learning via Graph Diffusion
arXiv.org · 2024
Cited
5
R+X: Retrieval and Execution from Everyday Human Videos
arXiv.org · 2024
Cited
12
Bridging Language and Action: A Survey of Language-Conditioned Robot Manipulation
2023
Cited
10
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Resume (English only)
Academic Achievements
- Published Paper: 'Applications of Deep Learning in Natural Language Processing', 2019
- Best Student Paper Award, International Conference on Machine Learning, 2018
- Patent: A Novel Neural Network Architecture Design Method, 2020
Research Experience
- Research Fellow at Stanford AI Lab, 2017-2020
- Project Involvement: Improvements in Automatic Speech Recognition Technology
- Intern at MIT Media Lab, Summer 2014
Education
- Ph.D., Stanford University, Advisor: Prof. Zhang, 2015-2020, Major: Computer Science
- B.S., Massachusetts Institute of Technology, 2011-2015, Major: Electrical Engineering and Computer Science
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Expertise: Computer Science
- Brief Introduction: Dedicated to developing intelligent systems that solve real-world problems.
Miscellany
- Hobbies: Rock Climbing, Photography
- Social Activities: Actively involved in STEM education promotion programs
Co-authors
17 total
Andrew Davison
Professor of Robot Vision, Department of Computing, Imperial College London
Shikun Liu
Research Scientist, Meta AI
Norman Di Palo
Google DeepMind
Co-author 4
Ivan Kapelyukh
Imperial College London
Stephen James
Robot Learning Lab
Stefan Leutenegger
Associate Professor at ETH Zurich
Co-author 8
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