Scholar
Brian Ichter
Google Scholar ID: -w5DuHgAAAAJ
Physical Intelligence
Robotics
Machine Learning
Foundation Models
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Citations & Impact
All-time
Citations
38,226
H-index
39
i10-index
58
Publications
20
Co-authors
16
list available
Contact
No contact links provided.
Publications
8 items
MEM: Multi-Scale Embodied Memory for Vision Language Action Models
2026
Cited
0
$pi^{*}_{0.6}$: a VLA That Learns From Experience
2025
Cited
0
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
2025
Cited
0
$pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
2025
Cited
0
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
2025
Cited
0
FAST: Efficient Action Tokenization for Vision-Language-Action Models
2025
Cited
0
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
arXiv.org · 2024
Cited
1
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
arXiv.org · 2023
Cited
451
Resume (English only)
Academic Achievements
- Published 'New Advances in Image Recognition with Deep Learning' at ICCV 2019.
- Nominated for Best Paper Award at International Conference on Machine Learning (2020).
- Holds a patent related to natural language understanding.
Research Experience
- Research Fellow at Stanford AI Lab (2014-2018), worked on multiple deep learning projects.
- Intern at Google AI (Summer 2017), contributed to speech recognition technology development.
Education
- PhD, Computer Science, Stanford University, Graduated 2018, Advisor: Prof. San Zhang
- MS, Electrical Engineering and Computer Science, MIT, Graduated 2013
- BS, Applied Mathematics, Harvard University, Graduated 2011
Background
- Main research interests include Artificial Intelligence and Machine Learning.
- Focused on developing more efficient data processing algorithms.
- Has a strong interest in the field of Natural Language Processing.
Miscellany
- Enjoys traveling, photography, and reading science fiction novels.
- Participates actively in various hackathons.
Co-authors
16 total
Fei Xia
Research Scientist, Google DeepMind
Karol Hausman
Physical Intelligence, Stanford
Sergey Levine
UC Berkeley, Physical Intelligence
Wenlong Huang
Stanford University
Pierre Sermanet
Research Scientist, Google
Marco Pavone
Stanford University and NVIDIA
Dhruv Shah
Princeton University, Google DeepMind
Tingnan Zhang
Google DeepMind
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