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๐Ÿ” memory ๐Ÿ“‚ Engineering
Showing 3601 results for "memory" in Engineering
Engineering Preprint PDF DOI

Autonomous Underwater Cognitive System for Adaptive Navigation: A SLAM-Integrated Cognitive Architecture

K. A. I. N Jayarathne, R. M. N. M. Rathnayaka, D. P. S. S. Peiris ยท 2025

Deep-sea exploration poses significant challenges, including disorientation, communication loss, and navigational failures in dynamic underwater environments. This paper presents an Autonomous Underwaโ€ฆ

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Engineering Preprint PDF DOI

Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective

Nhat Chung, Taisei Hanyu, Toan Nguyen, Huy Le, Frederick Bumgarner, Duy Minh Ho Nguyen, Khoa Vo, Kashu Yamazaki, Chase Rainwater, Tung Kieu, Anh Nguyen, Ngan Le ยท 2025

As embodied agents operate in increasingly complex environments, the ability to perceive, track, and reason about individual object instances over time becomes essential, especially in tasks requiringโ€ฆ

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Engineering Preprint PDF DOI

Semantic Communication with Hopfield Memories

Karim Nasreddine, Christo Kurisummoottil Thomas, Walid Saad ยท 2025

Traditional joint source-channel coding employs static learned semantic representations that cannot dynamically adapt to evolving source distributions. Shared semantic memories between transmitter andโ€ฆ

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Engineering Preprint PDF DOI

MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation

Runhao Li, Wenkai Guo, Zhenyu Wu, Changyuan Wang, Haoyuan Deng, Zhenyu Weng, Yap-Peng Tan, Ziwei Wang ยท 2025

Pre-trained Vision-Language-Action (VLA) models have achieved remarkable success in improving robustness and generalization for end-to-end robotic manipulation. However, these models struggle with lonโ€ฆ

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Engineering Preprint PDF DOI

Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation

Ningnan Wang, Weihuang Chen, Liming Chen, Haoxuan Ji, Zhongyu Guo, Xuchong Zhang, Hongbin Sun ยท 2025

Embodied visual navigation remains a challenging task, as agents must explore unknown environments with limited knowledge. Existing zero-shot studies have shown that incorporating memory mechanisms toโ€ฆ

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Engineering Preprint PDF DOI

An Improved Dual-Attention Transformer-LSTM for Small-Sample Prediction of Modal Frequency and Actual Anchor Radius in Micro Hemispherical Resonator Design

Yuyi Yao, Gongliu Yang, Runzhuo Xu, Yongqiang Tu, Haozhou Mo ยท 2025

The high-temperature glassblowing-fabricated micro hemispherical resonator (MHR) exhibits high symmetry and high Q-value for precision inertial navigation. However, MHR design entails a comprehensive โ€ฆ

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Engineering Preprint PDF DOI

A CODECO Case Study and Initial Validation for Edge Orchestration of Autonomous Mobile Robots

H. Zhu, T. Samizadeh, R. C. Sofia ยท 2025

Autonomous Mobile Robots (AMRs) increasingly adopt containerized micro-services across the Edge-Cloud continuum. While Kubernetes is the de-facto orchestrator for such systems, its assumptions of stabโ€ฆ

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Engineering Preprint PDF DOI

Accelerated, Memory-Efficient Far-Field Scattering Computation with Monte Carlo SBR

Samuel Audia, Dinesh Manocha, Matthias Zwicker ยท 2025

We introduce a Monte Carlo integration-based Shooting and Bouncing Ray (SBR) algorithm for electromagnetic scattering, specifically targeting complex dielectric materials. Unlike traditional determiniโ€ฆ

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Engineering Preprint PDF DOI

Unified Humanoid Fall-Safety Policy from a Few Demonstrations

Zhengjie Xu, Ye Li, Kwan-yee Lin, Stella X. Yu ยท 2025

Falling is an inherent risk of humanoid mobility. Maintaining stability is thus a primary safety focus in robot control and learning, yet no existing approach fully averts loss of balance. When instabโ€ฆ

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Engineering Preprint PDF DOI

Beyond Gaussian Assumptions: A General Fractional HJB Control Framework for L\'evy-Driven Heavy-Tailed Channels in 6G

Mengqi Li, Lixin Li, Wensheng Lin, Zhu Han, Tamer Basar ยท 2025

Emerging 6G wireless systems suffer severe performance degradation in challenging environments like high-speed trains traversing dense urban corridors and Unmanned Aerial Vehicles (UAVs) links over moโ€ฆ

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Hierarchical Spatial-Frequency Aggregation for Spectral Deconvolution Imaging

Tao Lv, Daoming Zhou, Chenglong Huang, Chongde Zi, Linsen Chen, Xun Cao ยท 2025

Computational spectral imaging (CSI) achieves real-time hyperspectral imaging through co-designed optics and algorithms, but typical CSI methods suffer from a bulky footprint and limited fidelity. Theโ€ฆ

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Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving

Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li ยท 2025

Long-tail motion forecasting is a core challenge for autonomous driving, where rare yet safety-critical events-such as abrupt maneuvers and dense multi-agent interactions-dominate real-world risk. Exiโ€ฆ

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ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval

Shahram Najam Syed, Yatharth Ahuja, Arthur Jakobsson, Jeff Ichnowski ยท 2025

Vision-Language-Action (VLA) models like OpenVLA demonstrate impressive zero-shot generalization across robotic manipulation tasks but struggle to adapt to specific deployment environments where consiโ€ฆ

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Engineering Preprint PDF DOI

HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image

Hongjun Wang, Jiyuan Chen, Xuan Song, Yinqiang Zheng ยท 2025

Post-training quantization offers an efficient pathway to deploy super-resolution models, yet existing methods treat weight and activation quantization independently, missing their critical interplay.โ€ฆ

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SIL: Symbiotic Interactive Learning for Language-Conditioned Human-Agent Co-Adaptation

Linus Nwankwo, Bjoern Ellensohn, Christian Rauch, Elmar Rueckert ยท 2025

Today's autonomous agents, largely driven by foundation models (FMs), can understand natural language instructions and solve long-horizon tasks with human-like reasoning. However, current human-robot โ€ฆ

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Predicting and forecasting reactivity and flux using long short-term memory models in pebble bed reactors during run-in

Ian Kolaja, Ludovic Jantzen, Tatiana Siaraferas, Massimiliano Fratoni ยท 2025

Pebble bed reactor (PBR) operation presents unique advantages and challenges due to the ability to continuously change the fuel mixture and excess reactivity. Each operation parameter affects reactiviโ€ฆ

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UHDRes: Ultra-High-Definition Image Restoration via Dual-Domain Decoupled Spectral Modulation

S. Zhao, W. Lu, B. Wang, T. Wang, K. Zhang, H. Zhao ยท 2025

Ultra-high-definition (UHD) images often suffer from severe degradations such as blur, haze, rain, or low-light conditions, which pose significant challenges for image restoration due to their high reโ€ฆ

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Evo-1: Lightweight Vision-Language-Action Model with Preserved Semantic Alignment

Tao Lin, Yilei Zhong, Yuxin Du, Jingjing Zhang, Jiting Liu, Yinxinyu Chen, Encheng Gu, Ziyan Liu, Hongyi Cai, Yanwen Zou, Lixing Zou, Zhaoye Zhou, Gen Li, Bo Zhao ยท 2025

Vision-Language-Action (VLA) models have emerged as a powerful framework that unifies perception, language, and control, enabling robots to perform diverse tasks through multimodal understanding. Howeโ€ฆ

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Data-driven uncertainty-aware seakeeping prediction of the Delft 372 catamaran using ensemble Hankel dynamic mode decomposition

Giorgio Palma, Andrea Serani, Matteo Diez ยท 2025

In this study, we present and validate an ensemble-based Hankel Dynamic Mode Decomposition with control (HDMDc) for uncertainty-aware seakeeping predictions of a high-speed catamaran, namely the Delftโ€ฆ

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Deep Dictionary-Free Method for Identifying Linear Model of Nonlinear System with Input Delay

Patrik Valabek, Marek Wadinger, Michal Kvasnica, Martin Klauco ยท 2025

Nonlinear dynamical systems with input delays pose significant challenges for prediction, estimation, and control due to their inherent complexity and the impact of delays on system behavior. Traditioโ€ฆ

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