Sotabase

Career

· Professor, EECS Department, UC Berkeley2019–
· Head of Machine Learning, Remedy Robotics
· Intern, Skydio
· Bachelor's degree, UC Berkeley
· Bachelors Degree, UC Berkeley
· PhD in Machine Learning and Robotics, UC Berkeley
· Professor, Electrical Engineering and Computer Sciences, UC Berkeley
· PhD Student, UC Berkeley BAIR Lab

Publications (34)

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
IEEE International Conference on Robotics and Automation · 2017
1,041
cited
Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search
IEEE International Conference on Robotics and Automation · 2015
441
cited
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
arXiv.org · 2017
328
cited
Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
IEEE International Conference on Robotics and Automation · 2017
311
cited
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
IEEE Robotics and Automation Letters · 2020
300
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
Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping
Robotics: Science and Systems · 2015
195
cited
PLATO: Policy learning using adaptive trajectory optimization
IEEE International Conference on Robotics and Automation · 2016
140
cited
Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
IEEE International Conference on Robotics and Automation · 2019
138
cited
Autonomous multilateral debridement with the Raven surgical robot
IEEE International Conference on Robotics and Automation · 2014
133
cited
ViNG: Learning Open-World Navigation with Visual Goals
IEEE International Conference on Robotics and Automation · 2020
121
cited
RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models
Conference on Robot Learning · 2021
117
cited
Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads
IEEE Robotics and Automation Letters · 2020
99
cited
Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation
Workshop on the Algorithmic Foundations of Robotics · 2014
89
cited
LaND: Learning to Navigate From Disengagements
IEEE Robotics and Automation Letters · 2020
62
cited
Active exploration using trajectory optimization for robotic grasping in the presence of occlusions
IEEE International Conference on Robotics and Automation · 2015
58
cited
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty
IEEE International Conference on Robotics and Automation · 2018
40
cited
Learning Image-Conditioned Dynamics Models for Control of Underactuated Legged Millirobots
IEEE/RJS International Conference on Intelligent RObots and Systems · 2017
30
cited
Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots
arXiv.org · 2017
22
cited
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
Conference on Robot Learning · 2018
21
cited
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Gregory Kahn | Researcher Profile | Sotabase | Sotabase