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
Publications
13 items
Test-Time Spatial Reasoning for Robot Manipulation Using Generative Real-to-Sim
2026
Cited
0
SynthICL: Scalable In-context Imitation Learning with Synthetic Data
2026
Cited
0
Instant-Fold: In-Context Imitation Learning for Deformable Object Manipulation
2026
Cited
0
ZeroBot: Learning From Scratch in Minutes With Generative Real2Sim
IEEE Robotics and Automation Letters · 2026
Cited
4
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
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Resume
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
11 total
Andrew Davison
Professor of Robot Vision, Department of Computing, Imperial College London
Shikun Liu
Research Scientist, Meta AI
Norman Di Palo
Google DeepMind
Ivan Kapelyukh
Imperial College London
Stephen James
Robot Learning Lab
Stefan Leutenegger
Associate Professor at ETH Zurich
Zihan Ding
Princeton University
Kamil Dreczkowski
Research Associate at Imperial College London