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

Adaptive Federated Fine-Tuning of Self-Supervised Speech Representations

Xin Guo, Chunrui Zhao, Hong Jia, Ting Dang, Gongping Huang, Xianrui Zheng, Yan Gao ยท 2026

Integrating Federated Learning (FL) with self-supervised learning (SSL) enables privacy-preserving fine-tuning for speech tasks. However, federated environments exhibit significant heterogeneity: clieโ€ฆ

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Engineering Preprint PDF DOI

Disentangling Speaker Traits for Deepfake Source Verification via Chebyshev Polynomial and Riemannian Metric Learning

Xi Xuan, Wenxin Zhang, Zhiyu Li, Jennifer Williams, Ville Hautamaki, Tomi H. Kinnunen ยท 2026

Speech deepfake source verification systems aims to determine whether two synthetic speech utterances originate from the same source generator, often assuming that the resulting source embeddings are โ€ฆ

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Engineering Preprint PDF DOI

Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control

Turki Bin Mohaya, Peter Seiler ยท 2026

Attention mechanisms excel at learning sequential patterns by discriminating data based on relevance and importance. This provides state-of-the-art performance in advanced generative artificial intellโ€ฆ

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Engineering Preprint PDF DOI

LARD 2.0: Enhanced Datasets and Benchmarking for Autonomous Landing Systems

Yassine Bougacha, Geoffrey Delhomme, Melanie Ducoffe, Augustin Fuchs, Jean-Brice Ginestet (DGA), Jacques Girard, Sofiane Kraiem, Franck Mamalet, Vincent Mussot, Claire Pagetti, Thierry Sammour ยท 2026

This paper addresses key challenges in the development of autonomous landing systems, focusing on dataset limitations for supervised training of Machine Learning (ML) models for object detection. Our โ€ฆ

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Engineering Preprint PDF DOI

Abnormalities and Disease Detection in Gastro-Intestinal Tract Images

Zeshan Khan, Muhammad Atif Tahir ยท 2026

Gastrointestinal (GI) tract image analysis plays a crucial role in medical diagnosis. This research addresses the challenge of accurately classifying and segmenting GI images for real-time applicationโ€ฆ

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Engineering Preprint PDF DOI

Cycle Inverse-Consistent TransMorph: A Balanced Deep Learning Framework for Brain MRI Registration

Jiaqi Shang, Haojin Wu, Yinyi Lai, Zongyu Li, Chenghao Zhang, Jia Guo ยท 2026

Deformable image registration plays a fundamental role in medical image analysis by enabling spatial alignment of anatomical structures across subjects. While recent deep learning-based approaches havโ€ฆ

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Engineering Preprint PDF DOI

BiPreManip: Learning Affordance-Based Bimanual Preparatory Manipulation through Anticipatory Collaboration

Yan Shen, Feng Jiang, Zichen He, Xiaoqi Li, Yuchen Liu, Zhiyu Li, Ruihai Wu, Hao Dong ยท 2026

Many everyday objects are difficult to directly grasp (e.g., a flat iPad) or manipulate functionally (e.g., opening the cap of a pen lying on a desk). Such tasks require sequential, asymmetric coordinโ€ฆ

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Engineering Preprint PDF DOI

Auction-Based Task Allocation with Energy-Conscientious Trajectory Optimization for AMR Fleets

Jiachen Li, Soovadeep Bakshi, Jian Chu, Shihao Li, Dongmei Chen ยท 2026

This paper presents a hierarchical two-stage framework for multi-robot task allocation and trajectory optimization in asymmetric task spaces: (1) a sequential auction allocates tasks using closed-formโ€ฆ

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Engineering Preprint PDF DOI

Stochastic Trajectory Influence Functions for LQR: Joint Sensitivity Through Dynamics and Noise Covariance

Jiachen Li, Shihao Li, Soovadeep Bakshi, Jiamin Xu, Dongmei Chen ยท 2026

Model-based controllers learned from data have the biases and noise of their training trajectories, making it important to know which trajectories help or hurt closed-loop performance. Influence functโ€ฆ

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Engineering Preprint PDF DOI

SafePilot: A Framework for Assuring LLM-enabled Cyber-Physical Systems

Weizhe Xu, Mengyu Liu, Fanxin Kong ยท 2026

Large Language Models (LLMs), deep learning architectures with typically over 10 billion parameters, have recently begun to be integrated into various cyber-physical systems (CPS) such as robotics, inโ€ฆ

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Engineering Preprint PDF DOI

Unregistered Spectral Image Fusion: Unmixing, Adversarial Learning, and Recoverability

Jiahui Song, Sagar Shrestha, Xiao Fu ยท 2026

This paper addresses the fusion of a pair of spatially unregistered hyperspectral image (HSI) and multispectral image (MSI) covering roughly overlapping regions. HSIs offer high spectral but low spatiโ€ฆ

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Engineering Preprint PDF DOI

Rydberg Atomic Receivers for Net-Zero 6G Wireless Communication and Sensing: Progress, Experiments, and Sustainable Prospects

Yi Tao, Zhen Gao, Zhiao Zhu, De Mi, Zhonghuai Wu, Zijian Zhang, Fusang Zhang, Dezhi Zheng, Sheng Chen ยท 2026

Against the backdrop of the global drive to advance the green transformation of the information and communications technology (ICT) industry and leverage technological innovation to facilitate the achโ€ฆ

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Engineering Preprint PDF DOI

Active-power control strategies in grid-forming power converters to improve transient stability in power systems with 100% converter-based generation

Regulo E. Avila-Martinez, Luis Rouco, Javier Renedo, Lukas Sigrist, Aurelio Garcia-Cerrada ยท 2026

Grid-forming voltage source converters (GFM-VSCs) play a crucial role in the stability of power systems with large amounts of converter-based generation. Transient stability (angle stability under larโ€ฆ

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Engineering Preprint PDF DOI

HyReach: Vision-Guided Hybrid Manipulator Reaching in Unseen Cluttered Environments

Shivani Kamtikar, Kendall Koe, Justin Wasserman, Samhita Marri, Benjamin Walt, Naveen Kumar Uppalapati, Girish Krishnan, Girish Chowdhary ยท 2026

As robotic systems increasingly operate in unstructured, cluttered, and previously unseen environments, there is a growing need for manipulators that combine compliance, adaptability, and precise contโ€ฆ

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Engineering Preprint PDF DOI

Dynamic Control Barrier Function Regulation with Vision-Language Models for Safe, Adaptive, and Realtime Visual Navigation

Jeffrey Chen, Rohan Chandra ยท 2026

Robots operating in dynamic, unstructured environments must balance safety and efficiency under potentially limited sensing. While control barrier functions (CBFs) provide principled collision avoidanโ€ฆ

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Engineering Preprint PDF DOI

Anatomical Prior-Driven Framework for Autonomous Robotic Cardiac Ultrasound Standard View Acquisition

Zhiyan Cao, Zhengxi Wu, Yiwei Wang, Pei-Hsuan Lin, Li Zhang, Zhen Xie, Huan Zhao, Han Ding ยท 2026

Cardiac ultrasound diagnosis is critical for cardiovascular disease assessment, but acquiring standard views remains highly operator-dependent. Existing medical segmentation models often yield anatomiโ€ฆ

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Engineering Preprint PDF DOI

VisFly-Lab: Unified Differentiable Framework for First-Order Reinforcement Learning of Quadrotor Control

Fanxing Li, Fangyu Sun, Tianbao Zhang, Shuyu Wu, Dexin Zuo, yufei Yan, Wenxian Yu, Danping Zou ยท 2026

First-order reinforcement learning with differentiable simulation is promising for quadrotor control, but practical progress remains fragmented across task-specific settings. To support more systematiโ€ฆ

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Engineering Preprint PDF DOI

Exploiting Self-Sustainable Information-Bearing RIS in Underlay CR-NOMA Networks

Zeyang Sun, Shuai Han, Chenyu Wu, Sai Xu, Yuanwei Liu ยท 2026

Information-bearing reconfigurable intelligent surfaces (IB-RIS) provide a promising solution to self-sustainable and green communications by harvesting ambient radio frequency energy while embedding โ€ฆ

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Engineering Preprint PDF DOI

TabPFN Extensions for Interpretable Geotechnical Modelling

Taiga Saito, Yu Otake, Daijiro Mizutani, Stephen Wu ยท 2026

Geotechnical site characterisation relies on sparse, heterogeneous borehole data where uncertainty quantification and model interpretability are as critical as predictive accuracy for reliable engineeโ€ฆ

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Terahertz Beamforming and Group Sparse Channel Estimation Relying on Low-Resolution ADCs in MU Hybrid MIMO systems

Abhisha Garg, Suraj Srivastava, Akash Kumar, Nimish Yadav, Aditya Jagannatham, Lajos Hanzo ยท 2026

A unified beamforming and channel estimation framework relying on Bayesian learning is conceived. Recognizing the limitations imposed by low-resolution analog-to-digital converter (ADCs) and frequencyโ€ฆ

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