Sotabase

Career

· Assistant Professor, Stanford University2024–
· Assistant Professor, University of Southern California2021–2024

Publications (72)

Hamilton-Jacobi reachability: A brief overview and recent advances
IEEE Conference on Decision and Control · 2017
647
cited
FaSTrack: A modular framework for fast and guaranteed safe motion planning
IEEE Conference on Decision and Control · 2017
245
cited
DeepReach: A Deep Learning Approach to High-Dimensional Reachability
IEEE International Conference on Robotics and Automation · 2020
210
cited
Decomposition of Reachable Sets and Tubes for a Class of Nonlinear Systems
IEEE Transactions on Automatic Control · 2016
190
cited
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
Conference on Robot Learning · 2019
175
cited
Learning quadrotor dynamics using neural network for flight control
IEEE Conference on Decision and Control · 2016
159
cited
Goal-driven dynamics learning via Bayesian optimization
IEEE Conference on Decision and Control · 2017
115
cited
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
IEEE Conference on Decision and Control · 2019
101
cited
FaSTrack:A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking
IEEE Transactions on Automatic Control · 2021
77
cited
Robust Sequential Trajectory Planning Under Disturbances and Adversarial Intruder
IEEE Transactions on Control Systems Technology · 2019
47
cited
Reachability-Based Safety Guarantees using Efficient Initializations
IEEE Conference on Decision and Control · 2019
46
cited
Plug-and-play model predictive control for electric vehicle charging and voltage control in smart grids
IEEE Conference on Decision and Control · 2014
43
cited
Visual Navigation Among Humans With Optimal Control as a Supervisor
IEEE Robotics and Automation Letters · 2020
43
cited
A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning
IEEE International Conference on Robotics and Automation · 2019
39
cited
MBMF: Model-Based Priors for Model-Free Reinforcement Learning
arXiv.org · 2017
38
cited
Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction
Conference on Learning for Dynamics & Control · 2023
35
cited
Online Update of Safety Assurances Using Confidence-Based Predictions
IEEE International Conference on Robotics and Automation · 2022
34
cited
A Robust Control Framework for Human Motion Prediction
IEEE Robotics and Automation Letters · 2021
30
cited
Provably Safe and Scalable Multivehicle Trajectory Planning
IEEE Transactions on Control Systems Technology · 2021
28
cited
Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids
IEEE Transactions on Smart Grid · 2016
26
cited
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