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

DiffusionAnything: End-to-End In-context Diffusion Learning for Unified Navigation and Pre-Grasp Motion

Iana Zhura, Yara Mahmoud, Jeffrin Sam, Hung Khang Nguyen, Didar Seyidov, Miguel Altamirano Cabrera, Dzmitry Tsetserukou ยท 2026

Efficiently predicting motion plans directly from vision remains a fundamental challenge in robotics, where planning typically requires explicit goal specification and task-specific design. Recent visโ€ฆ

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Engineering Preprint PDF DOI

ANVIL: Accelerator-Native Video Interpolation via Codec Motion Vector Priors

Shibo Liu ยท 2026

Real-time 30-to-60 fps video frame interpolation on mobile neural processing units (NPUs) requires each synthesized frame within 33.3 ms. We show that mainstream flow-based video frame interpolation fโ€ฆ

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Engineering Preprint PDF DOI

Fractional Risk Analysis of Stochastic Systems with Jumps and Memory

Yimeng Sun, Zhuoyuan Wang, Xiaole Zhang, Heng Ping, Jintang Xue, Paul Bogdan, Yorie Nakahira ยท 2026

Accurate risk assessment is essential for safety-critical autonomous and control systems under uncertainty. In many real-world settings, stochastic dynamics exhibit asymmetric jumps and long-range memโ€ฆ

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Engineering Preprint PDF DOI

Accurate Surface and Reflectance Modelling from 3D Radar Data with Neural Radiance Fields

Judith Treffler, Vladimir Kubelka, Henrik Andreasson, Martin Magnusson ยท 2026

Robust scene representation is essential for autonomous systems to safely operate in challenging low-visibility environments. Radar has a clear advantage over cameras and lidars in these conditions duโ€ฆ

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Engineering Preprint PDF DOI

YingMusic-Singer-Plus: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance

Chunbo Hao, Junjie Zheng, Guobin Ma, Yuepeng Jiang, Huakang Chen, Wenjie Tian, Gongyu Chen, Zihao Chen, Lei Xie ยท 2026

Regenerating singing voices with altered lyrics while preserving melody consistency remains challenging, as existing methods either offer limited controllability or require laborious manual alignment.โ€ฆ

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Engineering Preprint PDF DOI

Chameleon: Episodic Memory for Long-Horizon Robotic Manipulation

Xinying Guo, Chenxi Jiang, Hyun Bin Kim, Ying Sun, Yang Xiao, Yuhang Han, Jianfei Yang ยท 2026

Robotic manipulation often requires memory: occlusion and state changes can make decision-time observations perceptually aliased, making action selection non-Markovian at the observation level becauseโ€ฆ

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Engineering Preprint PDF DOI

Interdisciplinary Workshop on Mechanical Intelligence: Summary Report

Victoria A. Webster-Wood, Nicholas Gravish, Amir Alavi, Andres F Arrieta, Sarah Bergbreiter, Anthony Bloch, Laura Blumenschein, C. Chase Cao, Aja Mia Carter, Paolo Celli, Tony Chen, Margaret Coad, Mark Cutkosky, Michael Dickey, Brian Do, Robert Full, Mahdi Haghshenas-Jaryani, Kaushik Jayaram, Aaron Johnson, Eva Kanso, Emma Lejeune, Chen Li, Suyi Li, Jeffrey Lipton, Rob MacCurdy, Matt McHenry, Jean-Michel Mongeau, Todd Murphey, Mark Plecnik, Jordan Raney, Ryan D. Sochol, Hannah Stuart, Zeynep Temel, Michael Tolley, Barry Trimmer, T.J. Wallin, Kon-Well Wang, Wenzhong Yan, Mark Yim, Wenlong Zhang ยท 2026

This report provides a summary of the outcomes of the Interdisciplinary Workshop on Mechanical Intelligence held in 2024. Mechanical Intelligence (MI) represents the phenomenon that novel structural fโ€ฆ

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Engineering Preprint PDF DOI

Towards Semantic-based Agent Communication Networks: Vision, Technologies, and Challenges

Ping Zhang, Rui Meng, Xiaodong Xu, Yaheng Wang, Zixuan Huang, Yiming Liu, Ruichen Zhang, Yinqiu Liu, Haonan Tong, Huishi Song, Gang Wu, Zhaoming Lu, Jiawen Kang, Geng Sun, Qinghe Du, Zhaohui Yang, Jingxuan Zhang, Han Meng, Lexi Xu, Haitao Zhao, Zesong Fei, Yiqing Zhou, Pei Xiao, Meixia Tao, Qinyu Zhang, Shuguang Cui, Rahim Tafazolli ยท 2026

The International Telecommunication Union (ITU) identifies "Artificial Intelligence (AI) and Communication" as one of six key usage scenarios for 6G. Agentic AI, characterized by its ca-pabilities in โ€ฆ

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Incremental Learning-Based Open-Set Classification of Unknown UAVs via RF Signal Semantics

Julie Liu, Irshad A. Meer, Cicek Cavdar, Mustafa Ozger ยท 2026

The proliferation of civilian and commercial unmanned aerial vehicles (UAVs) has heightened the demand for reliable radio frequency (RF)-based drone identification systems that can operate under dynamโ€ฆ

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Engineering Preprint PDF DOI

Environment-Grounded Multi-Agent Workflow for Autonomous Penetration Testing

Michael Somma, Markus Gro{ss}pointner, Paul Zabalegui, Eppu Heilimo, Branka Stojanovic ยท 2026

The increasing complexity and interconnectivity of digital infrastructures make scalable and reliable security assessment methods essential. Robotic systems represent a particularly important class ofโ€ฆ

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ReMemNav: A Rethinking and Memory-Augmented Framework for Zero-Shot Object Navigation

Feng Wu, Wei Zuo, Wenliang Yang, Jun Xiao, Yang Liu, Xinhua Zeng ยท 2026

Zero-shot object navigation requires agents to locate unseen target objects in unfamiliar environments without prior maps or task-specific training which remains a significant challenge. Although receโ€ฆ

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SOMA: Strategic Orchestration and Memory-Augmented System for Vision-Language-Action Model Robustness via In-Context Adaptation

Zhuoran Li, Zhiyang Li, Kaijun Zhou, Jinyu Gu ยท 2026

Despite the promise of Vision-Language-Action (VLA) models as generalist robotic controllers, their robustness against perceptual noise and environmental variations in out-of-distribution (OOD) tasks โ€ฆ

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Engineering Preprint PDF DOI

State-space fading memory

Gustave Bainier, Antoine Chaillet, Rodolphe Sepulchre, Alessio Franci ยท 2026

The fading-memory (FM) property captures the progressive loss of influence of past inputs on a system's current output and has originally been formalized by Boyd and Chua in an operator-theoretic framโ€ฆ

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ROSCell: A ROS2-Based Framework for Automated Formation and Orchestration of Multi-Robot Systems

Jiangtao Shuai, Marvin Carl May, Sonja Schimmler, Manfred Hauswirth ยท 2026

Modern manufacturing under High-Mix-Low-Volume requirements increasingly relies on flexible and adaptive matrix production systems, which depend on interconnected heterogeneous devices and rapid task โ€ฆ

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Markov State--Space Modeling and Channel Characterization for DNA-Based Molecular Communication

Ruifeng Zheng, Zhihan Xu, Veronika Volkova, Pengjie Zhou, Martin Schottlender, Juan A. Cabrera, Frank H. P. Fitzek, Pit Hofmann ยท 2026

In this paper, we study DNA-based molecular communication with microarray-style reception under reversible hybridization, where the bound-state observation exhibits both inter-symbol interference and โ€ฆ

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Rewriting TTS Inference Economics: Lightning V2 on Tenstorrent Achieves 4x Lower Cost Than NVIDIA L40S

Ranjith M. S., Akshat Mandloi, Sudarshan Kamath ยท 2026

Text-to-Speech (TTS) models are significantly more numerically fragile than Large Language Models (LLMs) due to their continuous waveform generation and perceptual sensitivity to small numerical pertuโ€ฆ

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L-UNet: An LSTM Network for Remote Sensing Image Change Detection

Shuting Sun, Lin Mu, Lizhe Wang, Peng Liu ยท 2026

Change detection of high-resolution remote sensing images is an important task in earth observation and was extensively investigated. Recently, deep learning has shown to be very successful in plenty โ€ฆ

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TrustTrade: Human-Inspired Selective Consensus Reduces Decision Uncertainty in LLM Trading Agents

Minghan Li, Rachel Gonsalves, Weiyue Li, Sunghoon Yoon, Mengyu Wang ยท 2026

Large language models (LLMs) are increasingly deployed as autonomous agents in financial trading. However, they often exhibit a hazardous behavioral bias that we term uniform trust, whereby retrieved โ€ฆ

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Far-field compressive ultrasound beamforming

Nikunj Khetan, Jerome Mertz ยท 2026

We present a compressive beamforming method for coherent plane-wave compounding (CPWC) ultrasound imaging based on a far-field decomposition of the received radiofrequency (RF) data into virtual planeโ€ฆ

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Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots

Luca Vendruscolo, Eduardo Sebastian, Amanda Prorok, Ajay Shankar ยท 2026

Autonomous aerial and aquatic robots that attain mobility by perturbing their medium, such as multicopters and torpedoes, produce wake effects that act as disturbances for adjacent robots. Wake effectโ€ฆ

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