Sotabase

Career

· Doctor of Philosophy - PhD, Computer Science, Stanford University2021–2026
· Undergraduate Student Instructor, UC Berkeley College of Engineering2019–2019
· Undergraduate Researcher, Berkeley AI Research2018–2021
· Bachelor of Science - BS, Electrical Engineering and Computer Sciences, GPA 4.0/4.0, University of California, Berkeley2017–2021
· GPA 4.0/4.0, Mission San Jose High School2013–2017

Publications (35)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation
IEEE Robotics and Automation Letters · 2020
592
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
RoboNet: Large-Scale Multi-Robot Learning
Conference on Robot Learning · 2019
368
cited
Foundation models in robotics: Applications, challenges, and the future
Int. J. Robotics Res. · 2023
294
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
OmniTact: A Multi-Directional High-Resolution Touch Sensor
IEEE International Conference on Robotics and Automation · 2020
142
cited
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
IEEE International Conference on Robotics and Automation · 2019
140
cited
MaskViT: Masked Visual Pre-Training for Video Prediction
International Conference on Learning Representations · 2022
139
cited
A Workflow for Offline Model-Free Robotic Reinforcement Learning
Conference on Robot Learning · 2021
91
cited
Model-Based Visual Planning with Self-Supervised Functional Distances
International Conference on Learning Representations · 2020
66
cited
Learning Predictive Models From Observation and Interaction
European Conference on Computer Vision · 2019
63
cited
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
arXiv.org · 2024
30
cited
A Control-Centric Benchmark for Video Prediction
International Conference on Learning Representations · 2023
20
cited
Are These the Same Apple? Comparing Images Based on Object Intrinsics
Neural Information Processing Systems · 2023
17
cited
Learning to Design and Use Tools for Robotic Manipulation
Conference on Robot Learning · 2023
14
cited
Multi-Object Manipulation via Object-Centric Neural Scattering Functions
Computer Vision and Pattern Recognition · 2023
12
cited
Towards Embodiment Scaling Laws in Robot Locomotion
arXiv.org · 2025
9
cited
Learned Tactile Dynamics Candidate actions Sequence Prediction Compute Costs Choose Best Action Model Predictive Control
2019
Sotabase
Stephen Tian | Researcher Profile | Sotabase | Sotabase