1 citations · 1 across the 9 of their papers we have counts for
9 papers
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…
Embodied Hazard Mitigation using Vision-Language Models for Autonomous Mobile Robots
Oluwadamilola Sotomi, Devika Kodi, Kiruthiga Chandra Shekar +1
Autonomous robots operating in dynamic environments should identify and report anomalies. Embodying proactive mitigation improves safety and operational continuity. This paper pres…
Trust Through Transparency: Explainable Social Navigation for Autonomous Mobile Robots via Vision-Language Models
Oluwadamilola Sotomi, Devika Kodi, Aliasghar Arab
Service and assistive robots are increasingly being deployed in dynamic social environments; however, ensuring transparent and explainable interactions remains a significant challe…
A Virtual Fencing Framework for Safe and Efficient Collaborative Robotics
Vineela Reddy Pippera Badguna, Aliasghar Arab, Durga Avinash Kodavalla
Collaborative robots (cobots) increasingly operate alongside humans, demanding robust real-time safeguarding. Current safety standards (e.g., ISO 10218, ANSI/RIA 15.06, ISO/TS 1506…
ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers
Shawn Azdam, Pranav Doma, Aliasghar Moj Arab
The next generation of active safety features in autonomous vehicles should be capable of safely executing evasive hazard-avoidance maneuvers akin to those performed by professiona…
LLM-Enhanced Path Planning: Safe and Efficient Autonomous Navigation with Instructional Inputs
Pranav Doma, Aliasghar Arab, Xuesu Xiao
Autonomous navigation guided by natural language instructions is essential for improving human-robot interaction and enabling complex operations in dynamic environments. While larg…