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

Group-Invariant Unsupervised Skill Discovery: Symmetry-aware Skill Representations for Generalizable Behavior

Junwoo Chang, Joseph Park, Roberto Horowitz, Jongmin Lee, Jongeun Choi ยท 2026

Unsupervised skill discovery aims to acquire behavior primitives that improve exploration and accelerate downstream task learning. However, existing approaches often ignore the geometric symmetries ofโ€ฆ

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Engineering Preprint PDF DOI

DAME: Duration-Aware Matryoshka Embedding for Duration-Robust Speaker Verification

Youngmoon Jung, Joon-Young Yang, Ju-ho Kim, Jaeyoung Roh, Chang Woo Han, Hoon-Young Cho ยท 2026

Short-utterance speaker verification remains challenging due to limited speaker-discriminative cues in short speech segments. While existing methods focus on enhancing speaker encoders, the embedding โ€ฆ

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Engineering Preprint PDF DOI

SHARE: A Fully Unsupervised Framework for Single Hyperspectral Image Restoration

Jiangwei Xie, Zhang Wen, Mike Davies, Dongdong Chen ยท 2026

Hyperspectral image (HSI) restoration is a fundamental challenge in computational imaging and computer vision. It involves ill-posed inverse problems, such as inpainting and super-resolution. Althoughโ€ฆ

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Engineering Preprint PDF DOI

Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation

Zhengyong Huang, Ning Jiang, Xingwen Sun, Lihua Zhang, Peng Chen, Jens Domke, Yao Sui ยท 2026

Image segmentation is pivotal in medical image analysis, facilitating clinical diagnosis, treatment planning, and disease evaluation. Deep learning has significantly advanced automatic segmentation meโ€ฆ

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Engineering Preprint PDF DOI

Unsupervised Deformable Image Registration with Local-Global Attention and Image Decomposition

Zhengyong Huang, Xingwen Sun, Xuting Chang, Ning Jiang, Yao Wang, Jianfei Sun, Hongbin Han, Yao Sui ยท 2026

Deformable image registration is a critical technology in medical image analysis, with broad applications in clinical practice such as disease diagnosis, multi-modal fusion, and surgical navigation. Tโ€ฆ

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Engineering Preprint PDF DOI

Deep Reinforcement Learning-Based Dynamic Resource Allocation in Cell-Free Massive MIMO

Phuong Nam Tran, Nhan Thanh Nguyen, Hien Quoc Ngo, Markku Juntti ยท 2026

In this paper, we consider power allocation and antenna activation of cell-free massive multiple-input multiple-output (CFmMIMO) systems. We first derive closed-form expressions for the system spectraโ€ฆ

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Engineering Preprint PDF DOI

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation

Yousef Sadegheih, Dorit Merhof, Pratibha Kumari ยท 2026

Brain lesion segmentation from multi-modal MRI often assumes fixed modality sets or predefined pathologies, making existing models difficult to adapt across cohorts and imaging protocols. Continual leโ€ฆ

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Engineering Preprint PDF DOI

Synthetic Singers: A Review of Deep-Learning-based Singing Voice Synthesis Approaches

Changhao Pan, Dongyu Yao, Yu Zhang, Wenxiang Guo, Jingyu Lu, Zhiyuan Zhu, Zhou Zhao ยท 2026

Recent advances in singing voice synthesis (SVS) have attracted substantial attention from both academia and industry. With the advent of large language models and novel generative paradigms, producinโ€ฆ

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Engineering Preprint PDF DOI

Co-Initialization of Control Filter and Secondary Path via Meta-Learning for Active Noise Control

Ziyi Yang, Li Rao, Zhengding Luo, Dongyuan Shi, Qirui Huang, Woon-Seng Gan ยท 2026

Active noise control (ANC) must adapt quickly when the acoustic environment changes, yet early performance is largely dictated by initialization. We address this with a Model-Agnostic Meta-Learning (Mโ€ฆ

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Engineering Preprint PDF DOI

GuideTouch: An Obstacle Avoidance Device with Tactile Feedback for Visually Impaired

Timofei Kozlov, Artem Trandofilov, Georgii Gazaryan, Issatay Tokmurziyev, Miguel Altamirano Cabrera, Dzmitry Tsetserukou ยท 2026

Safe navigation for the visually impaired individuals remains a critical challenge, especially concerning head-level obstacles, which traditional mobility aids often fail to detect. We introduce Guideโ€ฆ

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Engineering Preprint PDF DOI

Sample Efficient Learning of Body-Environment Interaction of an Under-Actuated System

Zvi Chapnik, Yizhar Or, Shai Revzen ยท 2026

Geometric mechanics provides valuable insights into how biological and robotic systems use changes in shape to move by mechanically interacting with their environment. In high-friction environments itโ€ฆ

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Engineering Preprint PDF DOI

TransMode-LLM: Feature-Informed Natural Language Modeling with Domain-Enhanced Prompting for Travel Behavior Modeling

Meijing Zhang, Ying Xu ยท 2026

Understanding traveler behavior and accurately predicting travel mode choice are at the heart of transportation planning and policy-making. This study proposes TransMode-LLM, an innovative framework tโ€ฆ

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Engineering Preprint PDF DOI

SUNSET -- A Sensor-fUsioN based semantic SegmEnTation exemplar for ROS-based self-adaptation

Andreas Wiedholz, Rafael Paintner, Julian Glei{ss}ner, Alwin Hoffmann, Tobias Huber ยท 2026

The fact that robots are getting deployed more often in dynamic environments, together with the increasing complexity of their software systems, raises the need for self-adaptive approaches. In these โ€ฆ

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Engineering Preprint PDF DOI

Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning

Myong-Yol Choi, Hankyoul Ko, Hanse Cho, Changseung Kim, Seunghwan Kim, Jaemin Seo, Hyondong Oh ยท 2026

This paper presents a deep reinforcement learning (DRL) based controller for collective navigation of unmanned aerial vehicle (UAV) swarms in communication-denied environments, enabling robust operatiโ€ฆ

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A General One-Shot Multimodal Active Perception Framework for Robotic Manipulation: Learning to Predict Optimal Viewpoint

Deyun Qin, Zezhi Liu, Hanqian Luo, Xiao Liang, Yongchun Fang ยท 2026

Active perception in vision-based robotic manipulation aims to move the camera toward more informative observation viewpoints, thereby providing high-quality perceptual inputs for downstream tasks. Moโ€ฆ

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Engineering Preprint PDF DOI

Deep Learning-Enabled Signal Detection for MIMO-OTFS-Based 6G and Future Wireless Networks

Emin Akpinar, Emir Aslandogan, Burak Ahmet Ozden, Haci Ilhan, Erdogan Aydin ยท 2026

Orthogonal time frequency space (OTFS) modulation stands out as a promising waveform for sixth generation (6G) and beyond wireless communication systems, offering superior performance over conventionaโ€ฆ

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Instant Preliminary Cardiac Analysis from Smartphone Auscultation: A Real-World Canine Heart Sound Dataset and Evaluation

Aswin Jose, Roeland P. J. E. Decorte, Laurent Locquet ยท 2026

This study presents a real-world canine heart sound dataset and evaluates SoNUS version 3.2.x, a machine learning algorithm for preliminary cardiac analysis using smartphone microphone recordings. Morโ€ฆ

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Engineering Preprint PDF DOI

RLBR: Reinforcement Learning with Biasing Rewards for Contextual Speech Large Language Models

Bo Ren, Ruchao Fan, Yelong Shen, Weizhu Chen, Jinyu Li ยท 2026

Speech large language models (LLMs) have driven significant progress in end-to-end speech understanding and recognition, yet they continue to struggle with accurately recognizing rare words and domainโ€ฆ

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Engineering Preprint PDF DOI

RetinexGuI: Retinex-Guided Iterative Illumination Estimation Method for Low Light Images

Yasin Demir, Nur Huseyin Kaplan, Sefa Kucuk, Nagihan Severoglu ยท 2026

In recent years, there has been a growing interest in low-light image enhancement (LLIE) due to its importance for critical downstream tasks. Current Retinex-based methods and learning-based approacheโ€ฆ

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Engineering Preprint PDF DOI

Semantic Communication in Underwater IoT Networks for Meaning-Driven Connectivity

Ruhul Amin Khalil, Asiya Jehangir, Hanane Lamaazi, Sadaf Rubab, Nasir Saeed ยท 2026

The Internet of Underwater Things (IoUT) is revolutionizing marine sensing and environmental monitoring, as well as subaquatic exploration, which are enabled by interconnected and intelligent subsysteโ€ฆ

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