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20212026
most citedSTARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy

2 citations · 5 across the 20 of their papers we have counts for

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cs.AI2026

Self-Healing Harness for Runtime Oversight of Agent Self-Modification

Sina Tayebati, Divake Kumar, Nastaran Darabi +2

LLM agents can change their own future behavior, raising a basic control question of which self-generated changes should be allowed to persist. We formulate this as admission contr…

cs.RO2026

GroundControl: Anticipating Navigation Failures in Vision-Language Agents via Trajectory-Consistent Uncertainty Estimates

Nastaran Darabi, Divake Kumar, Sina Tayebati +2

Vision-language navigation agents achieve competitive average success on benchmark tasks, yet failures often arise through predictable trajectory-level breakdowns such as oscillati…

cs.RO2026

ProGAL-VLA: Grounded Alignment through Prospective Reasoning in Vision-Language-Action Models

Nastaran Darabi, Amit Ranjan Trivedi

Vision language action (VLA) models enable generalist robotic agents but often exhibit language ignorance, relying on visual shortcuts and remaining insensitive to instruction chan…

cs.RO2026

Belief Dynamics for Detecting Behavioral Shifts in Safe Collaborative Manipulation

Devashri Naik, Divake Kumar, Nastaran Darabi +1

Robots operating in shared workspaces must maintain safe coordination with other agents whose behavior may change during task execution. When a collaborating agent switches strateg…

cs.AI2026

TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning

Sina Tayebati, Divake Kumar, Nastaran Darabi +3

Estimating uncertainty for AI agents in real-world multi-turn tool-using interaction with humans is difficult because failures are often triggered by sparse critical episodes (e.g.…