Memory-Native Non-Terrestrial Networks for Embodied Intelligence

arXiv:2607.00029 · cs.RO, cs.AI, cs.MA, cs.NI · Submitted 2026-06-22 · Read on arXiv

cs.RO, cs.AI, cs.MA, cs.NI

Submitted: 2026-06-22

Updated: 2026-08-29

Comments: 8 pages, 4 figures, 2 tables, IEEE Communications Standards Magazine

Code: https://github.com/carla-simulator/carla

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Redundancy — 6× in this paper · explained in 2 episodes
Accuracy — 5× in this paper · explained in 1 episode
Abstraction — 3× in this paper · explained in 1 episode
Benchmark — 2× in this paper · explained in 2 episodes
Fidelity — 2× in this paper · explained in 2 episodes
Point Clouds — 2× in this paper · explained in 2 episodes
Quality of Memory — 2× in this paper
Verification — 2× in this paper · explained in 2 episodes
Adaptability — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Calibration — 1× in this paper · explained in 7 episodes
Consistency — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Cost of Memory — 1× in this paper
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Freshness of Memory — 1× in this paper
Information Gain — 1× in this paper · explained in 2 episodes
Matrix Completion — 1× in this paper · explained in 3 episodes
Resource Constraints — 1× in this paper · explained in 3 episodes
Reusability of Memory — 1× in this paper
Trace — 1× in this paper · explained in 2 episodes
Unified Framework — 1× in this paper · explained in 5 episodes

Sources

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering

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