Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence
Autonomous UAV systems increasingly rely on multimodal large language models (MLLMs) to operate in complex real-world environments. Such embodied scenarios require not only understanding the surrounding space but also maintaining a coherent representation of the agent itself. However, existing UAV-oriented approaches and benchmarks remain largely environment-centric, primarily focusing on spatial understanding tasks, with the agent's self-awareness remaining implicit. To address this gap, we int
Record details
Published: 13 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 17 July 2026
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How to cite this record
ethics.ai (13 July 2026), “Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence,” evidence record 10999, https://ethics.ai/record/10999 (originally published by HuggingFace Daily Papers).
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