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

HE-VPR: Height Estimation Enabled Aerial Visual Place Recognition Against Scale Variance

Mengfan He, Xingyu Shao, Chunyu Li, Chao Chen, Liangzheng Sun, Ziyang Meng, Yuanqing Wu ยท 2026

In this work, we propose HE-VPR, a visual place recognition (VPR) framework that incorporates height estimation. Our system decouples height inference from place recognition, allowing both modules to โ€ฆ

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Engineering Preprint PDF DOI

Bi-HIL: Bilateral Control-Based Multimodal Hierarchical Imitation Learning via Subtask-Level Progress Rate and Keyframe Memory for Long-Horizon Contact-Rich Robotic Manipulation

Thanpimon Buamanee, Masato Kobayashi, Yuki Uranishi ยท 2026

Long-horizon contact-rich robotic manipulation remains challenging due to partial observability and unstable subtask transitions under contact uncertainty. While hierarchical architectures improve temโ€ฆ

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Engineering Preprint PDF DOI

MEM: Multi-Scale Embodied Memory for Vision Language Action Models

Marcel Torne, Karl Pertsch, Homer Walke, Kyle Vedder, Suraj Nair, Brian Ichter, Allen Z. Ren, Haohuan Wang, Jiaming Tang, Kyle Stachowicz, Karan Dhabalia, Michael Equi, Quan Vuong, Jost Tobias Springenberg, Sergey Levine, Chelsea Finn, Danny Driess ยท 2026

Conventionally, memory in end-to-end robotic learning involves inputting a sequence of past observations into the learned policy. However, in complex multi-stage real-world tasks, the robot's memory mโ€ฆ

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Engineering Preprint PDF DOI

The PARLO Dementia Corpus: A German Multi-Center Resource for Alzheimer's Disease

Franziska Braun, Christopher Witzl, Florian Honig, Elmar Noth, Tobias Bocklet, Korbinian Riedhammer ยท 2026

Early and accessible detection of Alzheimer's disease (AD) remains a major challenge, as current diagnostic methods often rely on costly and invasive biomarkers. Speech and language analysis has emergโ€ฆ

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Engineering Preprint PDF DOI

From Language to Action: Can LLM-Based Agents Be Used for Embodied Robot Cognition?

Shinas Shaji, Fabian Huppertz, Alex Mitrevski, Sebastian Houben ยท 2026

In order to flexibly act in an everyday environment, a robotic agent needs a variety of cognitive capabilities that enable it to reason about plans and perform execution recovery. Large language modelโ€ฆ

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Engineering Preprint PDF DOI

Look Forward to Walk Backward: Efficient Terrain Memory for Backward Locomotion with Forward Vision

Shixin Luo, Songbo Li, Yuan Hao, Yaqi Wang, Jun Zheng, Jun Wu, Qiuguo Zhu ยท 2026

Legged robots with egocentric forward-facing depth cameras can couple exteroception and proprioception to achieve robust forward agility on complex terrain. When these robots walk backward, the forwarโ€ฆ

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Engineering Preprint PDF DOI

MA-CoNav: A Master-Slave Multi-Agent Framework with Hierarchical Collaboration and Dual-Level Reflection for Long-Horizon Embodied VLN

Ling Luo, Qianqian Bai ยท 2026

Vision-Language Navigation (VLN) aims to empower robots with the ability to perform long-horizon navigation in unfamiliar environments based on complex linguistic instructions. Its success critically โ€ฆ

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Engineering Preprint PDF DOI

Learning Therapist Policy from Therapist-Exoskeleton-Patient Interaction

Grayson Snyder, Lorenzo Vianello, Levi Hargrove, Matthew L. Elwin, Jose Pons ยท 2026

Post-stroke rehabilitation is often necessary for patients to regain proper walking gait. However, the typical therapy process can be exhausting and physically demanding for therapists, potentially reโ€ฆ

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Engineering Preprint PDF DOI

Tiny-DroNeRF: Tiny Neural Radiance Fields aboard Federated Learning-enabled Nano-drones

Ilenia Carboni, Elia Cereda, Lorenzo Lamberti, Daniele Malpetti, Francesco Conti, Daniele Palossi ยท 2026

Sub-30g nano-sized aerial robots can leverage their agility and form factor to autonomously explore cluttered and narrow environments, like in industrial inspection and search and rescue missions. Howโ€ฆ

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Engineering Preprint PDF DOI

SSMG-Nav: Enhancing Lifelong Object Navigation with Semantic Skeleton Memory Graph

Haochen Niu, Lantao Zhang, Xingwu Ji, Rendong Ying, Peilin Liu, Fei Wen ยท 2026

Navigating to out-of-sight targets from human instructions in unfamiliar environments is a core capability for service robots. Despite substantial progress, most approaches underutilize reusable, persโ€ฆ

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Engineering Preprint PDF DOI

TacMamba: A Tactile History Compression Adapter Bridging Fast Reflexes and Slow VLA Reasoning

Zhenan Wang, Yanzhe Wang, Meixuan Ren, Peng Li, Yang Liu, Yifei Nie, Limin Long, Yun Ye, Xiaofeng Wang, Zhen Zhu, Huixu Dong ยท 2026

In visually ambiguous manipulation such as detecting button click tactile feedback is often the sole source of ground truth. However, fusing tactile data poses a significant challenge due to a spatiotโ€ฆ

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RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design

Tianxing Chen, Yuran Wang, Mingleyang Li, Yan Qin, Hao Shi, Zixuan Li, Yifan Hu, Yingsheng Zhang, Kaixuan Wang, Yue Chen, Hongcheng Wang, Renjing Xu, Ruihai Wu, Yao Mu, Yaodong Yang, Hao Dong, Ping Luo ยท 2026

Robotic manipulation policies have made rapid progress in recent years, yet most existing approaches give limited consideration to memory capabilities. Consequently, they struggle to solve tasks that โ€ฆ

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Engineering Preprint PDF DOI

TGM-VLA: Task-Guided Mixup for Sampling-Efficient and Robust Robotic Manipulation

Fanqi Pu, Lei Jiang, Wenming Yang ยท 2026

The performance of robotic imitation learning is fundamentally limited by data quality and training strategies. Prevalent sampling strategies on RLBench suffer from severe keyframe redundancy and imbaโ€ฆ

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FaultXformer: A Transformer-Encoder Based Fault Classification and Location Identification model in PMU-Integrated Active Electrical Distribution System

Kriti Thakur, Alivelu Manga Parimi, Mayukha Pal ยท 2026

Accurate fault detection and localization in electrical distribution systems is crucial, especially with the increasing integration of distributed energy resources (DERs), which inject greater variabiโ€ฆ

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Extending 2D foundational DINOv3 representations to 3D segmentation of neonatal brain MR images

Annayah Usman, Behraj Khan, Tahir Qasim Syed ยท 2026

Precise volumetric delineation of hippocampal structures is essential for quantifying neurodevelopmental trajectories in pre-term and term infants, where subtle morphological variations may carry progโ€ฆ

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Enhancing Vision-Language Navigation with Multimodal Event Knowledge from Real-World Indoor Tour Videos

Haoxuan Xu, Tianfu Li, Wenbo Chen, Yi Liu, Xingxing Zuo, Yaoxian Song, Haoang Li ยท 2026

Vision-Language Navigation (VLN) agents often struggle with long-horizon reasoning in unseen environments, particularly when facing ambiguous, coarse-grained instructions. While recent advances use knโ€ฆ

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A Reliable Indoor Navigation System for Humans Using AR-based Technique

Vijay U.Rathod, Manav S.Sharma, Shambhavi Verma, Aadi Joshi, Sachin Aage, Sujal Shahane ยท 2026

Reliable navigation systems are not available indoors, such as in campuses and small areas. Users must depend on confusing, time-consuming static signage or floor maps. In this paper, an AR-based techโ€ฆ

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KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning

Zebin Yang, Tong Xie, Baotong Lu, Shaoshan Liu, Bo Yu, Meng Li ยท 2026

Memory-augmented Large Language Models (LLMs) have demonstrated remarkable capability for complex and long-horizon embodied planning. By keeping track of past experiences and environmental states, memโ€ฆ

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SegReg: Latent Space Regularization for Improved Medical Image Segmentation

Puru Vaish, Amin Ranem, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink ยท 2026

Medical image segmentation models are typically optimised with voxel-wise losses that constrain predictions only in the output space. This leaves latent feature representations largely unconstrained, โ€ฆ

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Moving Speaker Separation via Parallel Spectral-Spatial Processing

Yuzhu Wang, Archontis Politis, Konstantinos Drossos, Tuomas Virtanen ยท 2026

Multi-channel speech separation in dynamic environments is challenging as time-varying spatial and spectral features evolve at different temporal scales. Existing methods typically employ sequential aโ€ฆ

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