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Embodied AI-empowered Low Altitude Economy: Integrated Sensing, Communications, Computation, and Control (ISC3)

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arxiv 2412.19996 v1 pith:PH6TW5GG submitted 2024-12-28 cs.NI eess.SP

Embodied AI-empowered Low Altitude Economy: Integrated Sensing, Communications, Computation, and Control (ISC3)

classification cs.NI eess.SP
keywords isc3controleai-enabledresearchaltitudecasechallengescommunications
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Low altitude economy (LAE) holds immense potential to drive urban development across various sectors. However, LAE also faces challenges in data collection and processing efficiency, flight control precision, and network performance. The challenges could be solved by realizing an integration of sensing, communications, computation, and control (ISC3) for LAE. In this regard, embodied artificial intelligence (EAI), with its unique perception, planning, and decision-making capabilities, offers a promising solution to realize ISC3. Specifically, this paper investigates an application of EAI into ISC3 to support LAE, exploring potential research focuses, solutions, and case study. We begin by outlining rationales and benefits of introducing EAI into LAE, followed by reviewing research directions and solutions for EAI in ISC3. We then propose a framework of an EAI-enabled ISC3 for LAE. The framework's effectiveness is evaluated through a case study of express delivery utilizing an EAI-enabled UAV. Finally, we discuss several future research directions for advancing EAI-enabled LAE.

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Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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    eess.SP 2026-05 unverdicted novelty 2.0

    A structured survey of edge perception that integrates sensing modalities, edge AI, task-driven designs, and open challenges for 6G networks.

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  6. Low-Altitude Wireless Networks: A Comprehensive Survey

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