Sotabase

Career

· Research Intern, Google DeepMind2023–2023
· PhD Student, Stanford Artificial Intelligence Laboratory (SAIL)2022–
· Master of Science in Machine Learning, Carnegie Mellon University (CMU)2020–2022
· Bachelor of Science in Applied Mathematics, University of California, Los Angeles (UCLA)2016–2020
· Bachelor of Science in Computer Science and Engineering, University of California, Los Angeles (UCLA)2016–2020

Publications (20)

RMA: Rapid Motor Adaptation for Legged Robots
Robotics: Science and Systems · 2021
757
cited
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
arXiv.org · 2024
536
cited
Robot Parkour Learning
Conference on Robot Learning · 2023
231
cited
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Conference on Robot Learning · 2022
223
cited
Energy Theft Detection With Energy Privacy Preservation in the Smart Grid
IEEE Internet of Things Journal · 2019
164
cited
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
Conference on Robot Learning · 2021
148
cited
Machine learning for glass science and engineering: A review
Journal of Non-Crystalline Solids · 2019
129
cited
Coupling Vision and Proprioception for Navigation of Legged Robots
Computer Vision and Pattern Recognition · 2021
90
cited
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
Conference on Robot Learning · 2024
65
cited
Balance between accuracy and simplicity in empirical forcefields for glass modeling: Insights from machine learning
Journal of Non-Crystalline Solids · 2019
32
cited
Parameterization of empirical forcefields for glassy silica using machine learning
MRS Communications · 2019
22
cited
Emergence of Pragmatics from Referential Game between Theory of Mind Agents
arXiv.org · 2020
21
cited
Exploring the landscape of Buckingham potentials for silica by machine learning: Soft vs hard interatomic forcefields.
Journal of Chemical Physics · 2020
17
cited
Emergence of Theory of Mind Collaboration in Multiagent Systems
arXiv.org · 2021
13
cited
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
arXiv.org · 2023
9
cited
Machine Learning Forcefield for Silicate Glasses
2019
9
cited
Reducing Overestimation in Value Mixing for Cooperative Deep Multi-Agent Reinforcement Learning
2019
7
cited
Adversarial attack against scene recognition system for unmanned vehicles
ACM Turing Celebration Conference · 2019
4
cited
Multi-Modal Imitation Learning in Partially Observable Environments
2019
1
cited
Unsupervised Incremental Structure Learning of Stochastic And-Or Grammars with Monte Carlo Tree Search
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Zipeng Fu | Researcher Profile | Sotabase | Sotabase