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

Adaptive Terminal Sliding Mode Control Using Deep Reinforcement Learning for Zero-Force Control of Exoskeleton Robot Systems

Morteza Mirzaee, Reza Kazemi ยท 2024

This paper introduces a novel zero-force control method for upper-limb exoskeleton robots, which are used in a variety of applications including rehabilitation, assistance, and human physical capabiliโ€ฆ

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Engineering Preprint PDF DOI

Distributed Memory Approximate Message Passing

Jun Lu, Lei Liu, Shunqi Huang, Ning Wei, Xiaoming Chen ยท 2024

Approximate message passing (AMP) algorithms are iterative methods for signal recovery in noisy linear systems. In some scenarios, AMP algorithms need to operate within a distributed network. To addreโ€ฆ

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Engineering Preprint PDF DOI

Optimizing Robotic Manipulation with Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning

Yujian Dong, Tianyu Wu, Chaoyang Song ยท 2024

Models based on the Transformer architecture have seen widespread application across fields such as natural language processing, computer vision, and robotics, with large language models like ChatGPT โ€ฆ

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Engineering Preprint PDF DOI

Efficient Replay Memory Architectures in Multi-Agent Reinforcement Learning for Traffic Congestion Control

Mukul Chodhary, Kevin Octavian, SooJean Han ยท 2024

Episodic control, inspired by the role of episodic memory in the human brain, has been shown to improve the sample inefficiency of model-free reinforcement learning by reusing high-return past experieโ€ฆ

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Engineering Preprint PDF DOI

Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays

Jixiang Chen, Yiqun Lin, Haoran Sun, Xiaomeng Li ยท 2024

Retrieving 3D bone anatomy from biplanar X-ray images is crucial since it can significantly reduce radiation exposure compared to traditional CT-based methods. Although various deep learning models haโ€ฆ

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Engineering Preprint PDF DOI

Memory Management for Real-Time Appearance-Based Loop Closure Detection

Mathieu Labbe, Francois Michaud ยท 2024

Loop closure detection is the process involved when trying to find a match between the current and a previously visited locations in SLAM. Over time, the amount of time required to process new observaโ€ฆ

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Engineering Preprint PDF DOI

Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM

Mathieu Labbe, Francois Michaud ยท 2024

For large-scale and long-term simultaneous localization and mapping (SLAM), a robot has to deal with unknown initial positioning caused by either the kidnapped robot problem or multi-session mapping. โ€ฆ

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Engineering Preprint PDF DOI

Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation

Mathieu Labbe, Francois Michaud ยท 2024

In appearance-based localization and mapping, loop closure detection is the process used to determinate if the current observation comes from a previously visited location or a new one. As the size ofโ€ฆ

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Engineering Preprint PDF DOI

EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification

Yiyu Gui, MingZhi Chen, Yuqi Su, Guibo Luo, Yuchao Yang ยท 2024

In recent years, with the development of deep learning, electroencephalogram (EEG) classification networks have achieved certain progress. Transformer-based models can perform well in capturing long-tโ€ฆ

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Engineering Preprint PDF DOI

Pushing the Limits of Reactive Planning: Learning to Escape Local Minima

Isar Meijer, Michael Pantic, Helen Oleynikova, Roland Siegwart ยท 2024

When does a robot planner need a map? Reactive methods that use only the robot's current sensor data and local information are fast and flexible, but prone to getting stuck in local minima. Is there aโ€ฆ

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Engineering Preprint PDF DOI

Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation

Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Lukas Gajdosech, Stefan Wermter ยท 2024

Large Language Models (LLMs) have been recently used in robot applications for grounding LLM common-sense reasoning with the robot's perception and physical abilities. In humanoid robots, memory also โ€ฆ

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Engineering Preprint PDF DOI

Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs

Lorenzo Lamberti, Lorenzo Bellone, Luka Macan, Enrico Natalizio, Francesco Conti, Daniele Palossi, Luca Benini ยท 2024

Nano-sized unmanned aerial vehicles (UAVs) are ideal candidates for flying Internet-of-Things smart sensors to collect information in narrow spaces. This requires ultra-fast navigation under very tighโ€ฆ

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Engineering Preprint PDF DOI

Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge

Andrea Albanese, Yanran Wang, Davide Brunelli, David Boyle ยท 2024

The development of safe and reliable autonomous unmanned aerial vehicles relies on the ability of the system to recognise and adapt to changes in the local environment based on sensor inputs. State-ofโ€ฆ

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Engineering Preprint PDF DOI

Multi-Goal Motion Memory

Yuanjie Lu, Dibyendu Das, Erion Plaku, Xuesu Xiao ยท 2024

Autonomous mobile robots (e.g., warehouse logistics robots) often need to traverse complex, obstacle-rich, and changing environments to reach multiple fixed goals (e.g., warehouse shelves). Traditionaโ€ฆ

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Classification of Heart Sounds Using Multi-Branch Deep Convolutional Network and LSTM-CNN

Seyed Amir Latifi, Hassan Ghassemian, Maryam Imani ยท 2024

Cardiovascular diseases represent a leading cause of mortality worldwide, necessitating accurate and early diagnosis for improved patient outcomes. Current diagnostic approaches for cardiac abnormalitโ€ฆ

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Engineering Preprint PDF DOI

A Novel Approach to Ultrasound Beamforming using Synthetic Transmit Aperture with Low Complexity and High SNR for Medical Imaging

Thenmozhi Elango, Samiyuktha Kalalii, P Rajalakshmi ยท 2024

This paper presents an architecture for Ultrasound Beamforming using Synthetic Transmit Aperture with Low Complexity and High SNR for medical imaging. Synthetic Transmit Aperture is a novel approach iโ€ฆ

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Advancing Continual Learning for Robust Deepfake Audio Classification

Feiyi Dong, Qingchen Tang, Yichen Bai, Zihan Wang ยท 2024

The emergence of new spoofing attacks poses an increasing challenge to audio security. Current detection methods often falter when faced with unseen spoofing attacks. Traditional strategies, such as rโ€ฆ

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Engineering Preprint PDF DOI

Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis

Xilin Jiang, Yinghao Aaron Li, Adrian Nicolas Florea, Cong Han, Nima Mesgarani ยท 2024

It is too early to conclude that Mamba is a better alternative to transformers for speech before comparing Mamba with transformers in terms of both performance and efficiency in multiple speech-relateโ€ฆ

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Engineering Preprint PDF DOI

VDB-GPDF: Online Gaussian Process Distance Field with VDB Structure

Lan Wu, Cedric Le Gentil, Teresa Vidal-Calleja ยท 2024

Robots reason about the environment through dedicated representations. Popular choices for dense representations exploit Truncated Signed Distance Functions (TSDF) and Octree data structures. However,โ€ฆ

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Engineering Preprint PDF DOI

CAMP: Continuous and Adaptive Learning Model in Pathology

Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim, Boram Song, Seoung Wan Chae, Jin Tae Kwak ยท 2024

There exist numerous diagnostic tasks in pathology. Conventional computational pathology formulates and tackles them as independent and individual image classification problems, thereby resulting in cโ€ฆ

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