This paper identifies and discusses twelve technical challenges that need to be addressed to safely and effectively scale drone technology for commercial use.

The paper proposes SCOPE, a lightweight LLM framework that significantly improves the accuracy and efficiency of automated Air Traffic Control (ATC) readback monitoring, achieving high performance in…

The paper introduces SkyShield, the first front-view monocular semantic occupancy benchmark for low-altitude urban UAV flight, along with a novel metric and model to address the unique safety challeng…

This paper proposes CR-CMAB, a framework for jointly optimizing base station deployment and UAV flight corridors in urban environments to minimize infrastructure investment and flight distance while s…

This paper derives closed-form expressions for the effective channel between users in a multiuser Zak-OTFS system with heterogeneous delay-Doppler periods, and shows negligible inter-user interference…

This paper formally verifies that the algebraic intermediate representation (AIR) used by the S-two prover correctly captures the computational semantics of the Cairo virtual machine language, ensurin…

This paper proposes a model for cross-band CSI reconstruction in multi-band low-altitude wireless systems using radio-frequency metadata and pilot-guided cross-attention.

The paper empirically audits the k-NAF budget accounting mechanism in Anchored Decoding, finding that observed high proxy spend ratios are likely artifacts rather than true budget exhaustion failures.

The paper empirically audits the k-NAF budget accounting mechanism in Anchored Decoding, finding that observed high proxy spend ratios are likely artifacts rather than genuine budget exhaustion failur…

This paper introduces the concept of Budget-Aware Agents (BAGEN), showing that current LLM agents often fail to manage resources proactively, and proposes that incorporating early stop and interval es…

A lightweight sensor-driven Lévy walk controller is presented for efficient autonomous exploration of minimal-sensing, resource-constrained nano-UAVs.

The paper introduces OverEager-Gen, a new benchmark that measures 'overeager actions'—where coding agents perform unauthorized tasks beyond a benign request—and finds that removing explicit consent de…

This paper proposes a UAV trajectory optimization framework with continual transfer learning within the O-RAN architecture for 6G cellular systems.

The paper introduces DrvHorn, a novel automated tool that detects reference counting bugs in Linux kernel drivers by transforming the verification problem into an assertion checking task, successfully…