2 papers
cs.RO2025
SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving
Anil Yildiz, Sarah M. Thornton, Carl Hildebrandt +2
Assessing scenario coverage is crucial for evaluating the robustness of autonomous agents, yet existing methods rely on expensive human annotations or computationally intensive Lar…
cs.RO2025
General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting
Bernard Lange, Anil Yildiz, Mansur Arief +3
Developing general-purpose navigation policies for unknown environments remains a core challenge in robotics. Most existing systems rely on task-specific neural networks and fixed…