Sotabase

Career

· Assistant Professor, Georgia Institute of Technology2024–
· Postdoctoral Researcher, MIT CSAIL (Computer Science and Artificial Intelligence Laboratory)2024–

Publications (29)

Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
IEEE International Conference on Robotics and Automation · 2023
50
cited
Using Control Synthesis to Generate Corner Cases: A Case Study on Autonomous Driving
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2018
45
cited
Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty
IEEE Robotics and Automation Letters · 2020
42
cited
Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants
IEEE Robotics and Automation Letters · 2020
40
cited
Using Neural Networks to Compute Approximate and Guaranteed Feasible Hamilton-Jacobi-Bellman PDE Solutions
2016
38
cited
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
Robotics: Science and Systems · 2020
28
cited
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems
IEEE Conference on Decision and Control · 2021
28
cited
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory
Workshop on the Algorithmic Foundations of Robotics · 2022
26
cited
Learning Parametric Constraints in High Dimensions from Demonstrations
Conference on Robot Learning · 2019
24
cited
A hybrid framework for multi-vehicle collision avoidance
IEEE Conference on Decision and Control · 2017
22
cited
Learning constraints from demonstrations with grid and parametric representations
Workshop on the Algorithmic Foundations of Robotics · 2018
21
cited
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations
Conference on Robot Learning · 2020
17
cited
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
Conference on Robot Learning · 2023
15
cited
Learning temporal logic formulas from suboptimal demonstrations: theory and experiments
Autonomous Robots · 2021
15
cited
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations
IEEE Robotics and Automation Letters · 2021
13
cited
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems
IEEE International Conference on Robotics and Automation · 2022
9
cited
Using Neural Networks for Fast Reachable Set Computations
arXiv.org · 2016
4
cited
Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations
Workshop on the Algorithmic Foundations of Robotics · 2020
3
cited
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization
IEEE Conference on Decision and Control · 2023
3
cited
Incremental Segmentation of ARX Models
2018
1
cited
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Glen Chou | Researcher Profile | Sotabase | Sotabase