A hybrid semantic graph and retrieval-augmented system with parameter-efficient VLMs achieves state-of-the-art inference and querying speeds on embodied navigation tasks with competitive accuracy.
Robot Operating System 2: Design, architecture, and uses in the wild
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
NeuroMesh introduces a modular decentralized neural inference framework using dual-aggregation and parallel architecture to support heterogeneous multi-robot teams on perception, control, and task assignment tasks.
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EmbodiedLGR: Integrating Lightweight Graph Representation and Retrieval for Semantic-Spatial Memory in Robotic Agents
A hybrid semantic graph and retrieval-augmented system with parameter-efficient VLMs achieves state-of-the-art inference and querying speeds on embodied navigation tasks with competitive accuracy.
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NeuroMesh: A Unified Neural Inference Framework for Decentralized Multi-Robot Collaboration
NeuroMesh introduces a modular decentralized neural inference framework using dual-aggregation and parallel architecture to support heterogeneous multi-robot teams on perception, control, and task assignment tasks.