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๐Ÿ” avoidance learning ๐Ÿ“‚ Engineering
Showing 39379 results for "avoidance learning" in Engineering
Engineering Preprint PDF DOI

Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control

Liang Wu, Wallace Gian Yion Tan, Leqi Zhou, Richard D. Braatz, Jan Drgona ยท 2026

MPC is widely used in real-time applications, but practical implementations are typically restricted to convex QP formulations to ensure fast and certified execution. Koopman-based MPC enables QP-baseโ€ฆ

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Engineering Preprint PDF DOI

Accelerated MR Elastography Using Learned Neural Network Representation

Xi Peng ยท 2026

To develop a deep-learning method for achieving fast high-resolution MR elastography from highly undersampled data without the need of high-quality training dataset. We first framed the deep neural neโ€ฆ

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Engineering Preprint PDF DOI

Three Dimensional Hydrodynamic Flow-Based Collision Avoidance for UAV Formations Facing Emergent Dynamic Obstacles

Suguru Sato, Kamesh Subbarao ยท 2026

This paper presents a three-dimensional, hydrodynamics-inspired collision avoidance framework for uncrewed aerial vehicle (UAV) formations operating in dynamic environments. When moving obstacles enteโ€ฆ

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Engineering Preprint PDF DOI

Lightweight Self-Supervised Detection of Fundamental Frequency and Accurate Probability of Voicing in Monophonic Music

Venkat Suprabath Bitra, Homayoon Beigi ยท 2026

Reliable fundamental frequency (F 0) and voicing estimation is essential for neural synthesis, yet many pitch extractors depend on large labeled corpora and degrade under realistic recording artifactsโ€ฆ

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Engineering Preprint PDF DOI

AI-Driven Spectrum Occupancy Prediction Using Real-World Spectrum Measurements

Jiayu Mao, Ruoyu Sun, Mark Poletti, Rahil Gandotra, Hao Guo, Aylin Yener ยท 2026

Spectrum occupancy prediction is a critical enabler for real-time and proactive dynamic spectrum sharing (DSS), as it can provide short-term channel availability information to support more efficient โ€ฆ

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Engineering Preprint PDF DOI

Learning Semantic-Geometric Task Graph-Representations from Human Demonstrations

Franziska Herbert, Vignesh Prasad, Han Liu, Dorothea Koert, Georgia Chalvatzaki ยท 2026

Learning structured task representations from human demonstrations is essential for understanding long-horizon manipulation behaviors, particularly in bimanual settings where action ordering, object iโ€ฆ

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Engineering Preprint PDF DOI

Learning-Based Shrinking Disturbance-Invariant Tubes for State- and Input-Dependent Uncertainty

Abdelrahman Ramadan, Sidney Givigi ยท 2026

We develop a learning-based framework for constructing shrinking disturbance-invariant tubes under state- and input-dependent uncertainty, intended as a building block for tube Model Predictive Controโ€ฆ

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Engineering Preprint PDF DOI

The Great March 100: 100 Detail-oriented Tasks for Evaluating Embodied AI Agents

Ziyu Wang, Chenyuan Liu, Yushun Xiang, Runhao Zhang, Qingbo Hao, Hongliang Lu, Houyu Chen, Zhizhong Feng, Kaiyue Zheng, Dehao Ye, Xianchao Zeng, Xinyu Zhou, Boran Wen, Jiaxin Li, Mingyu Zhang, Kecheng Zheng, Qian Zhu, Ran Cheng, Yong-Lu Li ยท 2026

Recently, with the rapid development of robot learning and imitation learning, numerous datasets and methods have emerged. However, these datasets and their task designs often lack systematic considerโ€ฆ

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Engineering Preprint PDF DOI

ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models

Linqing Zhong, Yi Liu, Yifei Wei, Ziyu Xiong, Maoqing Yao, Si Liu, Guanghui Ren ยท 2026

Vision-Language-Action models have emerged as essential generalist robot policies for diverse manipulation tasks, conventionally relying on directly translating multimodal inputs into actions via Visiโ€ฆ

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Engineering Preprint PDF DOI

The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning

Henrik Hose, Paul Brunzema, Devdutt Subhasish, Sebastian Trimpe ยท 2026

The development of robust learning-based control algorithms for unstable systems requires high-quality, real-world data, yet access to specialized robotic hardware remains a significant barrier for maโ€ฆ

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Engineering Preprint PDF DOI

Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype

Jan-Philipp Redlich, Friedrich Feuerhake, Stefan Nikolin, Nadine Sarah Schaadt, Sarah Teuber-Hanselmann, Joachim Weis, Sabine Luttmann, Andrea Eberle, Christoph Buck, Timm Intemann, Pascal Birnstill, Klaus Kraywinkel, Jonas Ort, Peter Boor, Andre Homeyer ยท 2026

Glioblastoma, IDH-wildtype (GBM-IDHwt) is the most common malignant brain tumor. While histomorphology is a crucial component of GBM-IDHwt diagnosis, it is not further considered for prognosis. Here, โ€ฆ

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Engineering Preprint PDF DOI

Distributed Control Barrier Functions for Safe Multi-Vehicle Navigation in Heterogeneous USV Fleets

Tyler Paine, Brendan Long, Jeremy Wenger, Michael DeFilippo, James Usevitch, Michael Benjamin ยท 2026

Collision avoidance in heterogeneous fleets of uncrewed vessels is challenging because the decision-making processes and controllers often differ between platforms, and it is further complicated by thโ€ฆ

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Engineering Preprint PDF DOI

Machine Learning on the Edge for Sustainable IoT Networks: A Systematic Literature Review

Luisa Schuhmacher, Jimmy Fernandez Landivar, Ihsane Gryech, Hazem Sallouha, Michele Rossi, Sofie Pollin ยท 2026

The Internet of Things (IoT) has become integral to modern technology, enhancing daily life and industrial processes through seamless connectivity. However, the rapid expansion of IoT systems presentsโ€ฆ

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Engineering Preprint PDF DOI

ES4R: Speech Encoding Based on Prepositive Affective Modeling for Empathetic Response Generation

Zhuoyue Gao, Xiaohui Wang, Xiaocui Yang, Wen Zhang, Daling Wang, Shi Feng, Yifei Zhang ยท 2026

Empathetic speech dialogue requires not only understanding linguistic content but also perceiving rich paralinguistic information such as prosody, tone, and emotional intensity for affective understanโ€ฆ

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Engineering Preprint PDF DOI

Learning Quadrupedal Locomotion for a Heavy Hydraulic Robot Using an Actuator Model

Minho Lee, Hyeonseok Kim, Jin Tak Kim, Sangshin Park, Jeong Hyun Lee, Jungsan Cho, Jemin Hwangbo ยท 2026

The simulation-to-reality (sim-to-real) transfer of large-scale hydraulic robots presents a significant challenge in robotics because of the inherent slow control response and complex fluid dynamics. โ€ฆ

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Mobile-friendly Image de-noising: Hardware Conscious Optimization for Edge Application

Srinivas Miriyala, Sowmya Vajrala, Hitesh Kumar, Sravanth Kodavanti, Vikram Rajendiran ยท 2026

Image enhancement is a critical task in computer vision and photography that is often entangled with noise. This renders the traditional Image Signal Processing (ISP) ineffective compared to the advanโ€ฆ

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Engineering Preprint PDF DOI

Visual Marker Search for Autonomous Drone Landing in Diverse Urban Environments

Jiaohong Yao, Linfeng Liang, Yao Deng, Xi Zheng, Richard Han, Yuankai Qi ยท 2026

Marker-based landing is widely used in drone delivery and return-to-base systems for its simplicity and reliability. However, most approaches assume idealized landing site visibility and sensor perforโ€ฆ

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Engineering Preprint PDF DOI

FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstruction

Zheng Zhang, Hao Tang, Yingying Hu, Zhanli Hu, Jing Qin ยท 2026

Low-count positron emission tomography (PET) reconstruction is a challenging inverse problem due to severe degradations arising from Poisson noise, photon scarcity, and attenuation correction errors. โ€ฆ

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Engineering Preprint PDF DOI

Pigment Network Detection and Classification in Dermoscopic Images Using Directional Imaging Algorithms and Convolutional Neural Networks

M. A. Rasel, Sameem Abdul Kareem, Unaizah Obaidellah ยท 2026

Early diagnosis of melanoma, which can save thousands of lives, relies heavily on the analysis of dermoscopic images. One crucial diagnostic criterion is the identification of unusual pigment network โ€ฆ

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Engineering Preprint PDF DOI

Where to Touch, How to Contact: Hierarchical RL-MPC Framework for Geometry-Aware Long-Horizon Dexterous Manipulation

Zhixian Xie, Yu Xiang, Michael Posa, Wanxin Jin ยท 2026

A key challenge in contact-rich dexterous manipulation is the need to jointly reason over geometry, kinematic constraints, and intricate, nonsmooth contact dynamics. End-to-end visuomotor policies bypโ€ฆ

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