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Engineering Preprint PDF DOI

Scheduling Analysis of UAV Flight Control Workloads using Raspberry Pi 5 Using PREEMPT_RT Linux

Luiz Giacomossi, H{aa}kan Forsberg, Ivan Tomasic, Baran Curuklu, Tommaso Cucinotta ยท 2026

Modern UAV architectures increasingly aim to unify high-level autonomy and low-level flight control on a single General-Purpose Operating System (GPOS). However, complex multi-core System-on-Chips (Soโ€ฆ

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Warmth and Competence in the Swarm: Designing Effective Human-Robot Teams

Genki Miyauchi, Roderich Gro{ss}, Chaona Chen ยท 2026

As groups of robots increasingly collaborate with humans, understanding how humans perceive them is critical for designing effective human-robot teams. While prior research examined how humans interprโ€ฆ

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Multimodal embodiment-aware navigation transformer

Louis Dezons, Quentin Picard, Remi Marsal, Francois Goulette, David Filliat ยท 2026

Goal-conditioned navigation models for ground robots trained using supervised learning show promising zero-shot transfer, but their collision-avoidance capability nevertheless degrades under distributโ€ฆ

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Engineering Preprint PDF DOI

Reducing the Offline-Streaming Gap for Unified ASR Transducer with Consistency Regularization

Andrei Andrusenko, Vladimir Bataev, Lilit Grigoryan, Nune Tadevosyan, Vitaly Lavrukhin, Boris Ginsburg ยท 2026

Unification of automatic speech recognition (ASR) systems reduces development and maintenance costs, but training a single model to perform well in both offline and low-latency streaming settings remaโ€ฆ

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Engineering Preprint PDF DOI

Transformer Architecture with Minimal Inference Latency for Multi-Modal Wireless Networks

Minsu Kim, Walid Saad, Kui Wang, Zongdian Li, Tao Yu, Kei Sakaguchi ยท 2026

Next-generation wireless networks are expected to leverage multi-modal data sources to execute various wireless communication tasks such as beamforming and blockage prediction with situational-awareneโ€ฆ

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Engineering Preprint PDF DOI

Gated Memory Policy

Yihuai Gao, Jinyun Liu, Shuang Li, Shuran Song ยท 2026

Robotic manipulation tasks exhibit varying memory requirements, ranging from Markovian tasks that require no memory to non-Markovian tasks that depend on historical information spanning single or multโ€ฆ

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Informativity of Data-Knowledge Pairs for Lyapunov Equations

Ikumi Banno ยท 2026

In the past few years, data informativity with prior knowledge has attracted increasing attention. This line of research aims to characterize a dataset on a dynamical system that enables system analysโ€ฆ

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Chatting about Conditional Trajectory Prediction

Yuxiang Zhao, Wei Huang, Haipeng Zeng, Huan Zhao, Yujie Song ยท 2026

Human behavior has the nature of mutual dependencies, which requires human-robot interactive systems to predict surrounding agents trajectories by modeling complex social interactions, avoiding collisโ€ฆ

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Low-Complexity Tone Injection via Candidate Ranking for PAPR Reduction in OFDM and AFDM Systems

Yupeng Zheng, Ang Li, Jinfei Wang, Yi Ma, Rahim Tafazolli ยท 2026

Tone injection (TI) is a promising distortionless PAPR reduction technique that incurs no spectral efficiency loss. However, state-of-the-art TI schemes based on random candidate generation or clippinโ€ฆ

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Low-Complexity Learning-Based Beamforming for Ultra-Massive MIMO THz Communications

Sourabh Solanki, Abuzar Babikir Mohammad Adam, Chandan Kumar Sheemar, Zaid Abdullah, Eva Lagunas, George C. Alexandropoulos, Symeon Chatzinotas ยท 2026

Terahertz (THz) communications have emerged as a key technology for escalating data rates in future generation wireless networks. However, severe propagation losses at THz frequencies pose significantโ€ฆ

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Engineering Preprint PDF DOI

Driving risk emerges from the required two-dimensional joint evasive acceleration

Hao Cheng, Yanbo Jiang, Wenhao Yu, Rui Zhou, Jiang Bian, Keyu Chen, Zhiyuan Liu, Heye Huang, Hailun Zhang, Fang Zhang, Jianqiang Wang, Sifa Zheng ยท 2026

Most autonomous driving safety benchmarks use time-to-collision (TTC) to assess risk and guide safe behaviour. However, TTC-based methods treat risk as a one-dimensional closing problem, despite the iโ€ฆ

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ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning

Tuan Van Vo, Tan Q. Nguyen, Khang Nguyen, Nhat Xuan Tran, Duy H. M. Nguyen, An T. Le, Ngo Anh Vien, Minh Nhat Vu ยท 2026

Vision-Language-Action (VLA) models have gained much attention from the research community thanks to their strength in translating multimodal observations with linguistic instructions into desired robโ€ฆ

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Input-Side Variance Suppression under Non-Normal Transient Amplification in Continuous-Control Reinforcement Learning

Wu Yue ยท 2026

Continuous-control reinforcement learning (RL) often exhibits large closed-loop variance, high-frequency control jitter, and sensitivity to disturbance injection. Existing explanations usually emphasiโ€ฆ

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Structural Misalignment in Financial Transmission Rights

Erich Trieschman, Saurabh Amin ยท 2026

Financial Transmission Rights (FTRs) enable electricity market participants to hedge congestion risk in Day Ahead Market (DAM) operations, but for the market to be solvent, Independent System Operatorโ€ฆ

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$\mu$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture

Ganesh Sahadeo Meshram, Suman Chakraborty, Nishant Sinha, Partha Pratim Chakrabarti ยท 2026

In the complex domain of microfluidics systems, analysing fluid flow patterns through random-shaped circular microchannels is significantly challenging task. Conventional approach of solving such probโ€ฆ

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Physics-Aware Query-Conditioned Graph Attention Networks for Radio Map Estimation

Ang Li, Chengyu Liu, Yue Wang ยท 2026

Radio map estimation from sparse measurements is fundamental to wireless network planning, optimization, and localized map updating. Most recent learning-based approaches formulate the problem as densโ€ฆ

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SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction

K. A. Shahriar ยท 2026

Time series forecasting is traditionally dominated by sequence-based architectures such as recurrent neural networks and attention mechanisms, which process all time steps uniformly and often incur suโ€ฆ

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Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

Chinthakuntla Meghan Sai, Murarisetty V Sai Kartheek, Sita Devi Bharatula, Karthik Seemakurthy ยท 2026

The scarcity of labeled clinical data in oncology makes Few-Shot Learning (FSL) a critical framework for Computer Aided Diagnostics, but we observed that standard Prototypical Networks often struggle โ€ฆ

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Bilinear Input Modulation for Mamba: Koopman Bilinear Forms for Memory Retention and Multiplicative Computation

Hiroki Fujii, Masaki Yamakita ยท 2026

Selective State Space Models (SSMs), notably Mamba, employ diagonal state transitions that limit both memory retention and bilinear computational capacity. We propose a factorized bilinear input modulโ€ฆ

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Power Flow Solvability with Volt-Var Controlled Inverter-Based Resources

Taha Saeed Khan, Hamidreza Nazaripouya ยท 2026

This paper establishes a sufficient condition for guaranteeing power flow solvability in distribution grids with inverter-based resources (IBRs) operating under IEEE 1547 compliant Volt-Var control. Wโ€ฆ

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