Sotabase

Career

· Assistant Professor of Aerospace Engineering & Engineering Mechanics, University of Texas at Austin2021–
· Postdoctoral Scholar in Aeronautics & Astronautics, Stanford University2020–
· Postdoctoral researcher in Electrical Engineering & Computer Sciences, UC Berkeley2020–
· Postdoctoral Researcher, University of California, Berkeley2020–
· PhD Student in Electrical Engineering & Computer Sciences, UC Berkeley2015–

Publications (64)

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games
IEEE International Conference on Robotics and Automation · 2019
192
cited
Confidence-aware motion prediction for real-time collision avoidance1
Int. J. Robotics Res. · 2020
142
cited
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
Robotics: Science and Systems · 2018
132
cited
Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning
IEEE Transactions on Smart Grid · 2018
95
cited
Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning
IEEE International Conference on Robotics and Automation · 2017
90
cited
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
IEEE International Conference on Robotics and Automation · 2018
71
cited
The Computation of Approximate Generalized Feedback Nash Equilibria
SIAM Journal on Optimization · 2021
71
cited
Inference-Based Strategy Alignment for General-Sum Differential Games
Adaptive Agents and Multi-Agent Systems · 2020
47
cited
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
Neural Information Processing Systems · 2017
45
cited
A Classification-based Approach for Approximate Reachability
IEEE International Conference on Robotics and Automation · 2018
39
cited
Contingency Games for Multi-Agent Interaction
IEEE Robotics and Automation Letters · 2023
39
cited
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations
Robotics: Science and Systems · 2021
37
cited
Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems
IEEE Conference on Decision and Control · 2021
30
cited
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning
IEEE International Conference on Robotics and Automation · 2020
29
cited
Feedback Linearization for Uncertain Systems via Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2020
28
cited
Feedback Linearization for Unknown Systems via Reinforcement Learning
arXiv.org · 2019
28
cited
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics
IEEE International Conference on Robotics and Automation · 2019
27
cited
A Successive-Elimination Approach to Adaptive Robotic Source Seeking
IEEE Transactions on robotics · 2018
27
cited
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories
Adaptive Agents and Multi-Agent Systems · 2023
23
cited
Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments
IEEE International Conference on Robotics and Automation · 2018
23
cited
Sotabase