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

A low-complexity method for efficient depth-guided image deblurring

Ziyao Yi, Diego Valsesia, Tiziano Bianchi, Enrico Magli ยท 2026

Image deblurring is a challenging problem in imaging due to its highly ill-posed nature. Deep learning models have shown great success in tackling this problem but the quest for the best image qualityโ€ฆ

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Engineering Preprint PDF DOI

Exact Continuous Reformulations of Logic Constraints in Nonlinear Optimization and Optimal Control Problems

Jad Wehbeh, Eric C. Kerrigan ยท 2026

Many nonlinear optimal control and optimization problems involve constraints that combine continuous dynamics with discrete logic conditions. Standard approaches typically rely on mixed-integer prograโ€ฆ

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Engineering Preprint PDF DOI

Staged Voxel-Level Deep Reinforcement Learning for 3D Medical Image Segmentation with Noisy Annotations

Yuyang Fu, Xiuzhen Guo, Ji Shi ยท 2026

Deep learning has achieved significant advancements in medical image segmentation. Currently, obtaining accurate segmentation outcomes is critically reliant on large-scale datasets with high-quality aโ€ฆ

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Engineering Preprint PDF DOI

Integrating Sample Inheritance into Bayesian Optimization for Evolutionary Robotics

K. Ege de Bruin, Kyrre Glette, Kai Olav Ellefsen ยท 2026

In evolutionary robotics, robot morphologies are designed automatically using evolutionary algorithms. This creates a body-brain optimization problem, where both morphology and control must be optimizโ€ฆ

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Engineering Preprint PDF DOI

Generational Replacement and Learning for High-Performing and Diverse Populations in Evolvable Robots

K. Ege de Bruin, Kyrre Glette, Kai Olav Ellefsen ยท 2026

Evolutionary Robotics offers the possibility to design robots to solve a specific task automatically by optimizing their morphology and control together. However, this co-optimization of body and contโ€ฆ

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Engineering Preprint PDF DOI

CSI-MAE: A Masked Autoencoder-based Channel Foundation Model

Jun Jiang, Xiaolong Ruan, Shugong Xu ยท 2026

Self-Supervised Learning (SSL) has emerged as a key technique in machine learning, tackling challenges such as limited labeled data, high annotation costs, and variable wireless channel conditions. Itโ€ฆ

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Engineering Preprint PDF DOI

PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation

Wenlong Huang, Yu-Wei Chao, Arsalan Mousavian, Ming-Yu Liu, Dieter Fox, Kaichun Mo, Li Fei-Fei ยท 2026

Humans anticipate, from a glance and a contemplated action of their bodies, how the 3D world will respond, a capability that is equally vital for robotic manipulation. We introduce PointWorld, a largeโ€ฆ

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Engineering Preprint PDF DOI

Dual-Attention Heterogeneous GNN for Multi-robot Collaborative Area Search via Deep Reinforcement Learning

Lina Zhu, Jiyu Cheng, Yuehu Liu, Wei Zhang ยท 2026

In multi-robot collaborative area search, a key challenge is to dynamically balance the two objectives of exploring unknown areas and covering specific targets to be rescued. Existing methods are ofteโ€ฆ

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Engineering Preprint PDF DOI

Accounting for Optimal Control in the Sizing of Isolated Hybrid Renewable Energy Systems Using Imitation Learning

Simon Halvdansson, Lucas Ferreira Bernardino, Brage Rugstad Knudsen ยท 2026

Decarbonization of isolated or off-grid energy systems through phase-in of large shares of intermittent solar or wind generation requires co-installation of energy storage or continued use of existingโ€ฆ

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Engineering Preprint PDF DOI

Learning from Limited Labels: Transductive Graph Label Propagation for Indian Music Analysis

Parampreet Singh, Akshay Raina, Sayeedul Islam Sheikh, Vipul Arora ยท 2026

Supervised machine learning frameworks rely on extensive labeled datasets for robust performance on real-world tasks. However, there is a lack of large annotated datasets in audio and music domains, aโ€ฆ

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Engineering Preprint PDF DOI

Locomotion Beyond Feet

Tae Hoon Yang, Haochen Shi, Jiacheng Hu, Zhicong Zhang, Daniel Jiang, Weizhuo Wang, Yao He, Zhen Wu, Yuming Chen, Yifan Hou, Monroe Kennedy III, Shuran Song, C. Karen Liu ยท 2026

Most locomotion methods for humanoid robots focus on leg-based gaits, yet natural bipeds frequently rely on hands, knees, and elbows to establish additional contacts for stability and support in complโ€ฆ

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Engineering Preprint PDF DOI

F$^4$-CKM: Learning Channel Knowledge Map with Radio Frequency Radiance Field Rendering

Kequan Zhou, Guangyi Zhang, Hanlei Li, Yunlong Cai, Shengli Liu, Guanding Yu ยท 2026

In 6G mobile communications, acquiring accurate and timely channel state information (CSI) becomes increasingly challenging due to the growing antenna array size and bandwidth. To alleviate the CSI feโ€ฆ

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Engineering Preprint PDF DOI

From Score to Sound: An End-to-End MIDI-to-Motion Pipeline for Robotic Cello Performance

Samantha Sudhoff, Pranesh Velmurugan, Jiashu Liu, Vincent Zhao, Yung-Hsiang Lu, Kristen Yeon-Ji Yun ยท 2026

Robot musicians require precise control to obtain proper note accuracy, sound quality, and musical expression. Performance of string instruments, such as violin and cello, presents a significant challโ€ฆ

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Engineering Preprint PDF DOI

Cyberattack Detection in Virtualized Microgrids Using LightGBM and Knowledge-Distilled Classifiers

Osasumwen Cedric Ogiesoba-Eguakun, Suman Rath ยท 2026

Modern microgrids depend on distributed sensing and communication interfaces, making them increasingly vulnerable to cyber physical disturbances that threaten operational continuity and equipment safeโ€ฆ

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Engineering Preprint PDF DOI

Adaptive Model-Based Reinforcement Learning for Orbit Feedback Control in NSLS-II Storage Ring

Zeyu Dong, Yuke Tian, Yu Sun ยท 2026

The National Synchrotron Light Source II (NSLS-II) uses highly stable electron beam to produce high-quality X-ray beams with high brightness and low-emittance synchrotron radiation. The traditional alโ€ฆ

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Engineering Preprint PDF DOI

Developing a Quantitative Resiliency Approach

Vincent P. Paglioni, Graeme Troxell, Aaron Brown, Steve Conrad, Mazdak Arabi ยท 2026

Resiliency has garnered attention in the management of critical infrastructure as a metric of system performance, but there are significant roadblocks to its implementation in a realistic decision-makโ€ฆ

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Engineering Preprint PDF DOI

FIRE-VLM: A Vision-Language-Driven Reinforcement Learning Framework for UAV Wildfire Tracking in a Physics-Grounded Fire Digital Twin

Chris Webb, Mobin Habibpour, Mayamin Hamid Raha, Ali Reza Tavakkoli, Janice Coen, Fatemeh Afghah ยท 2026

Wildfire monitoring demands autonomous systems capable of reasoning under extreme visual degradation, rapidly evolving physical dynamics, and scarce real-world training data. Existing UAV navigation aโ€ฆ

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Engineering Preprint PDF DOI

Local Updates in Distributed Optimization: Provable Acceleration and Topology Effects

Zuang Wang, Yongqiang Wang ยท 2026

Inspired by the success of performing multiple local optimization steps between communication rounds in federated learning, incorporating such local updates into distributed optimization has recently โ€ฆ

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Engineering Preprint PDF DOI

Foundation Model-Aided Hierarchical Control for Robust RIS-Assisted Near-Field Communications

Mohammad Ghassemi, Han Zhang, Ali Afana, Akram Bin Sediq, Melike Erol-Kantarci ยท 2026

The deployment of extremely large aperture arrays (ELAAs) in sixth-generation (6G) networks could shift communication into the near-field communication (NFC) regime. In this regime, signals exhibit spโ€ฆ

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Engineering Preprint PDF DOI

Conditioning Aircraft Trajectory Prediction on Meteorological Data with a Physics-Informed Machine Learning Approach

Amy Hodgkin, Nick Pepper, Marc Thomas ยท 2026

Accurate aircraft trajectory prediction (TP) in air traffic management systems is confounded by a number of epistemic uncertainties, dominated by uncertain meteorological conditions and operator speciโ€ฆ

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