Erfan Aasi

Orcid: 0000-0002-1740-5536

According to our database1, Erfan Aasi authored at least 18 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection.
CoRR, January, 2026

2025
SAFe-Copilot: Unified Shared Autonomy Framework.
CoRR, November, 2025

A Two-Level Control Algorithm for Autonomous Driving in Urban Environments.
IEEE Trans. Intell. Transp. Syst., January, 2025

Interpretable Imitation Learning via Generative Adversarial STL Inference and Control.
Proceedings of the International Conference on Neuro-symbolic Systems, 2025

Generating Out-of-Distribution Scenarios Using Language Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

ReGen: Generative Robot Simulation via Inverse Design.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Interpretable Generative Adversarial Imitation Learning.
CoRR, 2024

2023
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications.
IEEE Robotics Autom. Lett., April, 2023

Time-Incremental Learning of Temporal Logic Classifiers Using Decision Trees.
Proceedings of the Learning for Dynamics and Control Conference, 2023

2022
Green Phosphorene as a Promising Biosensor for Detection of Furan and p-Xylene as Biomarkers of Disease: A DFT Study.
Sensors, 2022

Overcoming Exploration: Deep Reinforcement Learning in Complex Environments from Temporal Logic Specifications.
CoRR, 2022

Learning Spatio-Temporal Specifications for Dynamical Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Classification of Time-Series Data Using Boosted Decision Trees.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Time-Incremental Learning from Data Using Temporal Logics.
CoRR, 2021

Inferring Temporal Logic Properties from Data using Boosted Decision Trees.
CoRR, 2021

Robust Path Planning and Control For Polygonal Environments via Linear Programming.
Proceedings of the 2021 American Control Conference, 2021

A Control Architecture for Provably-Correct Autonomous Driving.
Proceedings of the 2021 American Control Conference, 2021

2019
Robust Planning and Control For Polygonal Environments via Linear Programming.
CoRR, 2019


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