Hierarchical Control for Multi-Agent Autonomous Racing. - Rishabh Saumil Thakkar; Aryaman Singh Samyal; David Fridovich-Keil; Zhe Xu 005; Ufuk Topcu (CoRR, 2022)

Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images. - Aryaman Singh Samyal; K. R. Akshatha; Soham Hans; A. Kotegar Karunakar; Satish Shenoy B (CoRR, 2022)

Verifiable Reinforcement Learning Systems via Compositionality. - Cyrus Neary; Aryaman Singh Samyal; Christos K. Verginis; Murat Cubuktepe; Ufuk Topcu (CoRR, 2023)

A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. - Cyrus Neary; Christian Ellis; Aryaman Singh Samyal; Craig Lennon; Ufuk Topcu (ICRA, 2024)

Hierarchical Control for Head-to-Head Autonomous Racing. - Rishabh Saumil Thakkar; Aryaman Singh Samyal; David Fridovich-Keil; Zhe Xu 005; Ufuk Topcu (Field Robotics, 2024)

Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing. - Rishabh Saumil Thakkar; Aryaman Singh Samyal; David Fridovich-Keil; Zhe Xu 005; Ufuk Topcu (IEEE Trans. Intell. Veh., 2024)