#embodied-ai4 articles

4 articles

AIBullisharXiv – CS AI · 4h ago2

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SAGE-LLM: Towards Safe and Generalizable LLM Controller with Fuzzy-CBF Verification and Graph-Structured Knowledge Retrieval for UAV Decision

Researchers propose SAGE-LLM, a novel framework that combines Large Language Models with Control Barrier Functions for safe UAV autonomous decision-making. The system addresses LLM safety limitations through formal verification mechanisms and graph-based knowledge retrieval, demonstrating improved safety and generalization in drone control scenarios.

AINeutralarXiv – CS AI · 4h ago3

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SLA-Aware Distributed LLM Inference Across Device-RAN-Cloud

Researchers tested distributed AI inference across device, edge, and cloud tiers in a 5G network, finding that sub-second AI response times required for embodied AI are challenging to achieve. On-device execution took multiple seconds, while RAN-edge deployment with quantized models could meet 0.5-second deadlines, and cloud deployment achieved 100% success for 1-second deadlines.

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AINeutralarXiv – CS AI · 4h ago7

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SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios

Researchers introduce SWITCH, a new benchmark for testing autonomous AI agents' ability to interact with physical interfaces like switches and appliance panels in real-world scenarios. The benchmark reveals significant gaps in current AI models' capabilities for long-horizon tasks requiring causal reasoning and verification.

AIBullisharXiv – CS AI · 4h ago5

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SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation

Researchers developed SocialNav, a foundation model for socially-aware robot navigation that uses a hierarchical architecture to understand social norms and generate compliant movement paths. The model was trained on 7 million samples and achieved 38% better success rates and 46% improved social compliance compared to existing methods.