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

Spider web-inspired sensing and computation with fiber network physical reservoirs

Apoorva Khairnar, Yogesh Phalak, Jun Wang, Ziyang Zhou, Benjamin Jantzen, Suyi Li, Noel Naughton ยท 2026

Physical reservoir computing leverages the intrinsic dynamics of mechanical systems to perform computation through their natural responses to input signals. Here, we study a compliant fiber network inโ€ฆ

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Engineering Preprint PDF DOI

Finite Memory Belief Approximation for Optimal Control in Partially Observable Markov Decision Processes

Mintae Kim ยท 2026

We study finite memory belief approximation for partially observable (PO) stochastic optimal control (SOC) problems. While belief states are sufficient for SOC in partially observable Markov decision โ€ฆ

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Engineering Preprint PDF DOI

Doppler-Resilient LEO Satellite OFDM Transmission with Affine Frequency Domain Pilot

Shuntian Tang, Xiaomei Wu, Xinyi Wang, Le Zhao, Guang Yang, Zilong Liu, Fan Liu, Zesong Fei ยท 2026

Orthogonal frequency division multiplexing (OFDM) based low Earth orbit (LEO) satellite communication system suffers from severe Doppler shifts, while {the Doppler-resilient affine frequency-division โ€ฆ

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Engineering Preprint PDF DOI

Rethinking Secure Semantic Communications in the Age of Generative and Agentic AI: Threats and Opportunities

Shunpu Tang, Yuanyuan Jia, Zijiu Yang, Qianqian Yang, Ruichen Zhang, Jun Du, Jihong Park, Zhiguo Shi, Jiming Chen ยท 2026

Semantic communication (SemCom) improves communication efficiency by transmitting task-relevant information instead of raw bits and is expected to be a key technology for 6G networks. Recent advances โ€ฆ

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Engineering Preprint PDF DOI

Adaptive Scheduling: A Reinforcement Learning Whittle Index Approach for Wireless Sensor Networks

Sokipriala Jonah, Seong Ki Yoo, Saurav Sthapit ยท 2026

We propose a reinforcement learning based scheduling framework for Restless Multi-Armed Bandit (RMAB) problems, centred on a Whittle Index Q-Learning policy with Upper Confidence Bound (UCB) exploratiโ€ฆ

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Engineering Preprint PDF DOI

Optimal Transport-Based Decentralized Multi-Agent Distribution Matching

Kooktae Lee ยท 2026

This paper presents a decentralized control framework for distribution matching in multi-agent systems (MAS), where agents collectively achieve a prescribed terminal spatial distribution. The problem โ€ฆ

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Time--to--Digital Converter (TDC)--Based Resonant Compute--in--Memory for INT8 CNNs with Layer--Optimized SRAM Mapping

Dhandeep Challagundla, Ignatius Bezzam, Riadul Islam ยท 2026

In recent years, Compute-in-memory (CiM) architectures have emerged as a promising solution for deep neural network (NN) accelerators. Multiply-accumulate~(MAC) is considered a {\textit de facto} unitโ€ฆ

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Engineering Preprint PDF DOI

ArtiSG: Functional 3D Scene Graph Construction via Human-demonstrated Articulated Objects Manipulation

Qiuyi Gu, Yuze Sheng, Jincheng Yu, Jiahao Tang, Xiaolong Shan, Zhaoyang Shen, Tinghao Yi, Xiaodan Liang, Xinlei Chen, Yu Wang ยท 2025

3D scene graphs have empowered robots with semantic understanding for navigation and planning. However, current functional scene graphs primarily focus on static element detection, lacking the actionaโ€ฆ

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Engineering Preprint PDF DOI

Control of Microrobots with Reinforcement Learning under On-Device Compute Constraints

Yichen Liu, Kesava Viswanadha, Zhongyu Li, Nelson Lojo, Kristofer S. J. Pister ยท 2025

An important function of autonomous microrobots is the ability to perform robust movement over terrain. This paper explores an edge ML approach to microrobot locomotion, allowing for on-device, lower โ€ฆ

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Resolving State Ambiguity in Robot Manipulation via Adaptive Working Memory Recoding

Qingda Hu, Ziheng Qiu, Zijun Xu, Kaizhao Zhang, Xizhou Bu, Zuolei Sun, Bo Zhang, Jieru Zhao, Zhongxue Gan, Wenchao Ding ยท 2025

State ambiguity is common in robotic manipulation. Identical observations may correspond to multiple valid behavior trajectories. The visuomotor policy must correctly extract the appropriate types andโ€ฆ

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Engineering Preprint PDF DOI

Hardware Acceleration for Neural Networks: A Comprehensive Survey

Bin Xu, Ayan Banerjee, Sandeep Gupta ยท 2025

Neural networks have become dominant computational workloads across cloud and edge platforms, but their rapid growth in model size and deployment diversity has exposed hardware bottlenecks increasinglโ€ฆ

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Agentic AI-Enhanced Semantic Communications: Foundations, Architecture, and Applications

Haixiao Gao, Mengying Sun, Ruichen Zhang, Yanhan Wang, Xiaodong Xu, Nan Ma, Dusit Niyato, Ping Zhang ยท 2025

Semantic communications (SemCom), as one of the key technologies for 6G, is shifting networks from bit transmission to semantic information exchange. On this basis, introducing agentic artificial inteโ€ฆ

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Two-Robot Computational Landscape: A Complete Characterization of Model Power in Minimal Mobile Robot Systems

Naoki Kitamura, Yuichi Sudo, Koichi Wada ยท 2025

The computational power of autonomous mobile robots under the Look-Compute-Move (LCM) model has been widely studied through an extensive hierarchy of robot models defined by the presence of memory, coโ€ฆ

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Synthesis of signal processing algorithms with constraints on minimal parallelism and memory space

Sergey Salishev ยท 2025

This thesis develops signal-processing algorithms and implementation schemes under constraints of minimal parallelism and memory space, with the goal of improving energy efficiency of low-power computโ€ฆ

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A Unified AI, Embedded, Simulation, and Mechanical Design Approach to an Autonomous Delivery Robot

Amro Gamar, Ahmed Abduljalil, Alargam Mohammed, Ali Elhenidy, Abeer Tawakol ยท 2025

This paper presents the development of a fully autonomous delivery robot integrating mechanical engineering, embedded systems, and artificial intelligence. The platform employs a heterogeneous computiโ€ฆ

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AstraNav-Memory: Contexts Compression for Long Memory

Botao Ren, Junjun Hu, Xinda Xue, Minghua Luo, Jintao Chen, Haochen Bai, Liangliang You, Mu Xu ยท 2025

Lifelong embodied navigation requires agents to accumulate, retain, and exploit spatial-semantic experience across tasks, enabling efficient exploration in novel environments and rapid goal reaching iโ€ฆ

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SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation

Xiaoyu Mo, Jintian Ge, Zifan Wang, Chen Lv, Karl Henrik Johansson ยท 2025

Multi-agent trajectory generation is a core problem for autonomous driving and intelligent transportation systems. However, efficiently modeling the dynamic interactions between numerous road users anโ€ฆ

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LSTM-Based Modeling and Reinforcement Learning Control of a Magnetically Actuated Catheter

Arya Rashidinejad Meibodi, Mahbod Gholamali Sinaki, Khalil Alipour ยท 2025

Autonomous magnetic catheter systems are emerging as a promising approach for the future of minimally invasive interventions. This study presents a novel approach that begins by modeling the nonlinearโ€ฆ

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Branch Learning in MRI: More Data, More Models, More Training

Yuyang Li, Yipin Deng, Zijian Zhou, Peng Hu ยท 2025

We investigated two complementary strategies for multicontrast cardiac MR reconstruction: physics-consistent data-space augmentation (DualSpaceCMR) and parameter-efficient capacity scaling via VQPrompโ€ฆ

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Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting

Sangoh Lee, Sangwoo Mo, Wook-Shin Han ยท 2025

While Vision-Language-Action (VLA) models generalize well to generic instructions, they struggle with personalized commands such as "bring my cup," where the robot must act on one specific instance amโ€ฆ

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