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cs.RO2026
Do Embodied VLMs Actually Use Their Scene-Graph Memory?
Shubh Garg, Divyansh Pandey, Vedant Khandelwal +2
Embodied agents that answer questions about their route need a memory of what they saw, and scene graphs are a natural form for it. A vision-language model (VLM) can receive such a…
cs.RO2026
Answering Without Arriving: An Evidence Audit for Embodied Question Answering
Shubh Garg, Divyansh Pandey, Niyati Rawal +2
Embodied question answering asks an agent to navigate, observe, and then answer questions about what it saw, yet answer accuracy alone cannot tell whether any of this happened. A p…
cs.RO2024
UNMuTe: Unifying Navigation and Multimodal Dialogue-like Text Generation
Niyati Rawal, Roberto Bigazzi, Lorenzo Baraldi +1
Smart autonomous agents are becoming increasingly important in various real-life applications, including robotics and autonomous vehicles. One crucial skill that these agents must…