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Showing 10142 results for "dawn drain" in Engineering
Engineering Preprint PDF DOI

Framework for Collaborative Operation of Autonomous Delivery Vehicles Within a Marshaling Yard

James O'Hara, Karl Wunderlich, Gregory Stevens ยท 2026

As autonomous vehicles slowly deploy into urban roads for limited use cases with significant edge case issues, closed facilities like marshaling yards provide a ripe case for combining lower-level vehโ€ฆ

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Learning-Based Hierarchical Scene Graph Matching for Robot Localization Leveraging Prior Maps

Nimrod Millenium Ndulue, Jose Andres Millan-Romera, Matteo Giorgi, Holger Voos, Jose Luis Sanchez-Lopez ยท 2026

Accurate localization is a fundamental requirement for autonomous robots operating in indoor environments. Scene graphs encode the spatial structure of an environment as a hierarchy of semantic entitiโ€ฆ

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Learning Tactile-Aware Quadrupedal Loco-Manipulation Policies

Pokuang Zhou, Yuhao Zhou, Quan Luu, Seungho Han, Heng Zhang, Binghao Huang, Yunzhu Li, Arash Ajoudani, Zhengtong Xu, Yu She ยท 2026

Quadrupedal loco-manipulation is commonly built on visual perception and proprioception. Yet reliable contact-rich manipulation remains difficult: vision and proprioception alone cannot resolve uncertโ€ฆ

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FeatureFox: Sample-Efficient Panoptic Graph Segmentation for Machining Feature Recognition in B-Rep 3D-CAD Models

Bertram Fuchs, Altay Kacan, Aaron Haag, Oliver Lohse ยท 2026

Automatic feature recognition (AFR) on B-Rep 3D-CAD models is central to CAD/CAM automation, yet most learning-based methods are complex, data-hungry, and evaluate instance grouping and semantic labelโ€ฆ

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Fuelling fusion plasmas with pellets: Can neuromorphic control outperform Sigma-Delta modulation?

L.L.T.C. Jansen, E. Petri, M. van Berkel, W.P.M.H. Heemels ยท 2026

Nuclear fusion is a promising clean energy source in which deuterium and tritium fuse inside a magnetically confined plasma in a tokamak, releasing energy. A key challenge on the route to practical nuโ€ฆ

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Alter-Art: Exploring Embodied Artistic Creation through a Robot Avatar

Do Won Park, Samuele Bordini, Giorgio Grioli, Manuel G. Catalano, Antonio Bicchi ยท 2026

As with every emerging technology, new tools in the hands of artists reshape the nature of artwork creation. Current frameworks for robotics in arts deploy the robot as an autonomous creator or a collโ€ฆ

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SlicerRoboTMS: An Open-Source 3D Slicer Extension for Robot-Assisted Transcranial Magnetic Stimulation

Wenzhi Bai, Yituo Guo, Bhaskar Basu, Andrew Weightman, Zhenhong Li ยท 2026

Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS) is an image-guided robotic intervention that enhances the accuracy and reproducibility of conventional Transcranial Magnetic Stimulation (TMโ€ฆ

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Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models

Chun-Yi Kuan, Wei-Ping Huang, Hung-yi Lee ยท 2026

Recent audio-aware large language models (ALLMs) have demonstrated strong capabilities across diverse audio understanding and reasoning tasks, but they still frequently produce hallucinated or overly โ€ฆ

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BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal

Phat Lam ยท 2026

Electroencephalography (EEG) is highly susceptible to artifact contamination, such as electrooculographic (EOG) and electromyographic (EMG) interference, which severely degrades signal quality and hinโ€ฆ

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Single-Cycle Multidirectional EOG Classification Faster than Human Reaction Time for Wearable Human-Computer Interactions

Tasnia Nabiha, Orthy Toor, Wakim Sajjad Sakib, Abdullah Bin Shams ยท 2026

Electrooculogram (EOG) is a non-invasive bio-signal generated by the potential difference between the retina and cornea during eye movement, and is widely utilized in Human-Computer Interaction (HCI) โ€ฆ

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On the Generalization Properties of Selective State-Space Models for Filtering Tasks for Unknown Systems

Alex Tang, M. Emrullah Ildiz, Batin Kurt, Samet Oymak, Necmiye Ozay ยท 2026

Selective State-Space Models (SSMs) such as Mamba have emerged as an alternative architecture to self-attention based transformers in sequence modeling tasks. Recent works have demonstrated the use ofโ€ฆ

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Sparsity-Aware Event-Driven Impulse Radio Transceivers for Reliable Neuromorphic Inference

Zhengzhong Guan, Jiaying Li, Kanghua Li, Bojun Cheng, Hong Xing ยท 2026

The growing number of Internet-of-Things (IoT) based artificial intelligence (AI) applications deployed at resource-constrained network edge call for ultra-reliable and low-latency data processing pipโ€ฆ

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GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories

Jon Goikoetxea, Jesus F. Palacian ยท 2026

Imitation learning is a well-established approach for machine-learning-based control. However, its applicability depends on having access to demonstrations, which are often expensive to collect and/orโ€ฆ

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Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?

Anam Hashmi, Mayug Maniparambil, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor ยท 2026

The emergence of large-scale pretrained foundation models has transformed computer vision, enabling strong performance across diverse downstream tasks. However, their potential for physics-based inverโ€ฆ

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Magnetic Indoor Localization through CNN Regression and Rotation Invariance

Helge Rose, Konstantin Klipp, Tom Koubek, Bernd Schaufele, Ilja Radusch ยท 2026

Indoor positioning is an essential technology for a wide range of applications in GNSS-denied environments, including indoor navigation and IoT systems. Combining convolutional neural networks (CNNs) โ€ฆ

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Generalizable CT-Free PET Attenuation and Scatter Correction for Pediatric Patients

Jia-Mian Wu, Jun Liu, Siqi Li, Xiaoya Wang, Shibai Yin, Huanyu Luo, Lingling Zheng, Qiang Gao, Jigang Yang, Tai-Xiang Jiang ยท 2026

Computed tomography (CT)-based attenuation and scatter correction improves quantitative PET but adds radiation exposure that is particularly undesirable in pediatric imaging. Existing CT-free methods โ€ฆ

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Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data

Harry Dong, Timofey Efimov, Megna Shah, Jeff Simmons, Sean Donegan, Marc De Graef, Yuejie Chi ยท 2026

In spite of the utility of 3-D electron back-scattered diffraction (EBSD) microscopy, the data collection process can be time-consuming with serial-sectioning. Hence, it is natural to look at other moโ€ฆ

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A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment

Muhy Eddin Za'ter, Anna Van Boven, Bri-Mathias Hodge, Kyri Baker ยท 2026

Maintaining instantaneous balance between electricity supply and demand is critical for reliability and grid instability. System operators achieve this through solving the task of Unit Commitment (UC)โ€ฆ

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Monolithically Integrated VO$_2$ Mott Oscillators for Energy-Efficient Spiking Neurons

Fabio Bersano, Cyrille Masserey, Vanessa Conti, Andrea Iaconeta, Niccolo' Martinolli, Ehsan Ansari, Anna Varini, Igor Stolichnov, Adrian Mihai Ionescu ยท 2026

Brain-inspired non-Boolean computing offers intrinsic error tolerance and parallelism, but its practical deployment is limited by the lack of compact, energy-efficient spiking hardware compatible withโ€ฆ

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RPG: Robust Policy Gating for Smooth Multi-Skill Transitions in Humanoid Fighting

Yucheng Xin, Jiacheng Bao, Yubo Dong, Xueqian Wang, Bin Zhao, Xuelong Li, Junbo Tan, Dong Wang ยท 2026

Humanoid robots have demonstrated impressive motor skills in a wide range of tasks, yet whole-body control for humanlike long-time, dynamic fighting remains particularly challenging due to the stringeโ€ฆ

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