4 papers · 1 filter
See Something, Say Something: Context-Criticality-Aware Mobile Robot Communication for Hazard Mitigations
Bhavya Oza, Devam Shah, Ghanashyama Prabhu +2
The proverb ``see something, say something'' captures a core responsibility of autonomous mobile robots in safety-critical situations: when they detect a hazard, they must communic…
Bootstrap Perception Under Hardware Depth Failure for Indoor Robot Navigation
Nishant Pushparaju, Vivek Mattam, Aliasghar Arab
We present a bootstrap perception system for indoor robot navigation under hardware depth failure. In our corridor data, the time-of-flight camera loses up to 78% of its depth pixe…
A Semantic Observer Layer for Autonomous Vehicles: Pre-Deployment Feasibility Study of VLMs for Low-Latency Anomaly Detection
Kunal Runwal, Swaraj Gajare, Daniel Adejumo +3
Semantic anomalies-context-dependent hazards that pixel-level detectors cannot reason about-pose a critical safety risk in autonomous driving. We propose a \emph{semantic observer…
Safety-Centered Scenario Generation for Autonomous Vehicles
Kiruthiga Chandra Shekar, Aliasghar Moj Arab
This paper presents a scenario generation framework that creates diverse, parametrized, and safety-critical driving situations to validate the safety features of autonomous vehicle…