Expertini Research Research

Browse Research Papers

39,379+ open-access research outputs.

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

Next Generation Intelligent Low-Altitude Economy Deployments: The O-RAN Perspective

Aly Sabri Abdalla, Vuk Marojevic ยท 2026

Despite the growing interest in low-altitude economy (LAE) applications, including UAV-based logistics and emergency response, fundamental challenges remain in orchestrating such missions over complexโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Let Distortion Guide Restoration (DGR): A physics-informed learning framework for Prostate Diffusion MRI

Ziyang Long, Binesh Nader, Lixia Wang, Archana Vadiraj Malaji, Chia-Chi Yang, Haoran Sun, Rola Saouaf, Timothy Daskivich, Hyung Kim, Yibin Xie, Debiao Li, Hsin-Jung Yang ยท 2026

We present Distortion-Guided Restoration (DGR), a physics-informed hybrid CNN-diffusion framework for acquisition-free correction of severe susceptibility-induced distortions in prostate single-shot Eโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Placenta Accreta Spectrum Detection using Multimodal Deep Learning

Sumaiya Ali, Areej Alhothali, Sameera Albasri, Ohoud Alzamzami, Ahmed Abduljabbar, Muhammad Alwazzan ยท 2025

Placenta Accreta Spectrum (PAS) is a life-threatening obstetric complication involving abnormal placental invasion into the uterine wall. Early and accurate prenatal diagnosis is essential to reduce mโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Adaptive Pinching Antenna Optimization via Meta-Learning for Physical-Layer Security in Dynamic Wireless Networks

Khalid T. Musri, Akram Y. Sarhan, Osamah A. Abdullah, Hayder Al-Hraishawi ยท 2025

This paper develops a gradient-based meta-learning framework for real-time control of waveguided pinching-antenna systems under user-location uncertainty and physical-layer security (PLS) constraints.โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Learning Speech Representations with Variational Predictive Coding

Sung-Lin Yeh, Peter Bell, Hao Tang ยท 2025

Despite being the best known objective for learning speech representations, the HuBERT objective has not been further developed and improved. We argue that it is the lack of an underlying principle thโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Reinforcement learning with timed constraints for robotics motion planning

Zhaoan Wang, Junchao Li, Mahdi Mohammad, Shaoping Xiao ยท 2025

Robotic systems operating in dynamic and uncertain environments increasingly require planners that satisfy complex task sequences while adhering to strict temporal constraints. Metric Interval Temporaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Coordinated Humanoid Manipulation with Choice Policies

Haozhi Qi, Yen-Jen Wang, Toru Lin, Brent Yi, Yi Ma, Koushil Sreenath, Jitendra Malik ยท 2025

Humanoid robots hold great promise for operating in human-centric environments, yet achieving robust whole-body coordination across the head, hands, and legs remains a major challenge. We present a syโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow

Karthik Dharmarajan, Wenlong Huang, Jiajun Wu, Li Fei-Fei, Ruohan Zhang ยท 2025

Generative video modeling has emerged as a compelling tool to zero-shot reason about plausible physical interactions for open-world manipulation. Yet, it remains a challenge to translate such human-leโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Control of Microrobots with Reinforcement Learning under On-Device Compute Constraints

Yichen Liu, Kesava Viswanadha, Zhongyu Li, Nelson Lojo, Kristofer S. J. Pister ยท 2025

An important function of autonomous microrobots is the ability to perform robust movement over terrain. This paper explores an edge ML approach to microrobot locomotion, allowing for on-device, lower โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model Homotopy Transfer

Dongyun Kang, Min-Gyu Kim, Tae-Gyu Song, Hajun Kim, Sehoon Ha, Hae-Won Park ยท 2025

Generating dynamic motions for legged robots remains a challenging problem. While reinforcement learning has achieved notable success in various legged locomotion tasks, producing highly dynamic behavโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

CREPES-X: Hierarchical Bearing-Distance-Inertial Direct Cooperative Relative Pose Estimation System

Zhehan Li, Zheng Wang, Jiadong Lu, Qi Liu, Zhiren Xun, Yue Wang, Fei Gao, Chao Xu, Yanjun Cao ยท 2025

Relative localization is critical for cooperation in autonomous multi-robot systems. Existing approaches either rely on shared environmental features or inertial assumptions or suffer from non-line-ofโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

An Adaptive, Disentangled Representation for Multidimensional MRI Reconstruction

Ruiyang Zhao, Fan Lam ยท 2025

We present a new approach for representing and reconstructing multidimensional magnetic resonance imaging (MRI) data. Our method builds on a novel, learned feature-based image representation that diseโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Taking Advantage of Rational Canonical Form for Faster Ring-LWE based Encrypted Controller with Recursive Multiplication

Donghyeon Song, Yeongjun Jang, Joowon Lee, Junsoo Kim ยท 2025

This paper aims to provide an efficient implementation of encrypted linear dynamic controllers that perform recursive multiplications on a Ring-Learning With Errors (Ring-LWE) based cryptosystem. By aโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence

Chengkai Hou, Kun Wu, Jiaming Liu, Zhengping Che, Di Wu, Fei Liao, Guangrun Li, Jingyang He, Qiuxuan Feng, Zhao Jin, Chenyang Gu, Zhuoyang Liu, Nuowei Han, Xiangju Mi, Yaoxu Lv, Yankai Fu, Gaole Dai, Langzhe Gu, Tao Li, Yuheng Zhang, Yixue Zhang, Xinhua Wang, Shichao Fan, Meng Li, Zhen Zhao, Ning Liu, Zhiyuan Xu, Pei Ren, Junjie Ji, Haonan Liu, Kuan Cheng, Shanghang Zhang, Jian Tang ยท 2025

While data-driven imitation learning has revolutionized robotic manipulation, current approaches remain constrained by the scarcity of large-scale, diverse real-world demonstrations. Consequently, theโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation

Yury Kolomeytsev, Dmitry Golembiovsky ยท 2025

Autonomous mobile robots operating in complex, dynamic environments face the dual challenge of navigating large-scale, structurally diverse spaces with static obstacles while safely interacting with vโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Decentralized No-Regret Frequency-Time Scheduling for FMCW Radar Interference Avoidance

Yunian Pan, Jun Li, Lifan Xu, Shunqiao Sun, Quanyan Zhu ยท 2025

Automotive FMCW radars are indispensable to modern ADAS and autonomous-driving systems, but their increasing density has intensified the risk of mutual interference. Existing mitigation techniques, inโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Graph Neural Network with Auxiliary Task Learning for Missing PMU Data Reconstruction

Bo Li, Zijun Chen, Haiwang Zhong, Di Cao, Guangchun Ruan ยท 2025

In wide-area measurement systems (WAMS), phasor measurement unit (PMU) measurement is prone to data missingness due to hardware failures, communication delays, and cyber-attacks. Existing data-driven โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Deep Learning Approach for the Diagnosis of Pediatric Pneumonia Using Chest X-ray Imaging

Fatemeh Hosseinabadi, Mohammad Mojtaba Rohani ยท 2025

Pediatric pneumonia remains a leading cause of morbidity and mortality in children worldwide. Timely and accurate diagnosis is critical but often challenged by limited radiological expertise and the pโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning

Youssef Megahed, Aylin Erman, Robin Ducharme, Mark C. Walker, Steven Hawken, Adrian D. C. Chan ยท 2025

Congenital heart disease remains the most common congenital anomaly and a leading cause of neonatal morbidity and mortality. Although first-trimester fetal echocardiography offers an opportunity for eโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Networked Markets, Fragmented Data: Adaptive Graph Learning for Customer Risk Analytics and Policy Design

Lecheng Zheng, Jian Ni, Chris Zobel, John R Birge ยท 2025

Financial institutions face escalating challenges in identifying high-risk customer behaviors within massive transaction networks, where fraudulent activities exploit market fragmentation and institutโ€ฆ

Read Paper โ†’
โ† Prev Page 128 of 1969 Next โ†’