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

Safe Path Planning and Observation Quality Enhancement Strategy for Unmanned Aerial Vehicles in Water Quality Monitoring Tasks

Yuanshuang Fu, Qianyao Wang, Qihao Wang, Bonan Zhang, Jiaxin Zhao, Yiming Cao, Zhijun Li ยท 2025

Unmanned Aerial Vehicle (UAV) spectral remote sensing technology is widely used in water quality monitoring. However, in dynamic environments, varying illumination conditions, such as shadows and specโ€ฆ

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Engineering Preprint PDF DOI

SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation

Xiaoyu Mo, Jintian Ge, Zifan Wang, Chen Lv, Karl Henrik Johansson ยท 2025

Multi-agent trajectory generation is a core problem for autonomous driving and intelligent transportation systems. However, efficiently modeling the dynamic interactions between numerous road users anโ€ฆ

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Engineering Preprint PDF DOI

Speak the Art: A Direct Speech to Image Generation Framework

Mariam Saeed, Manar Amr, Farida Adel, Nada Hassan, Nour Walid, Eman Mohamed, Mohamed Hussein, Marwan Torki ยท 2025

Direct speech-to-image generation has recently shown promising results. However, compared to text-to-image generation, there is still a large gap to enclose. Current approaches use two stages to tacklโ€ฆ

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Engineering Preprint PDF DOI

Global End-Effector Pose Control of an Underactuated Aerial Manipulator via Reinforcement Learning

Shlok Deshmukh, Javier Alonso-Mora, Sihao Sun ยท 2025

Aerial manipulators, which combine robotic arms with multi-rotor drones, face strict constraints on arm weight and mechanical complexity. In this work, we study a lightweight 2-degree-of-freedom (DoF)โ€ฆ

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Engineering Preprint PDF DOI

Dyna-Style Reinforcement Learning Modeling and Control of Non-linear Dynamics

Karim Abdelsalam, Zeyad Gamal, Ayman El-Badawy ยท 2025

Controlling systems with complex, nonlinear dynamics poses a significant challenge, particularly in achieving efficient and robust control. In this paper, we propose a Dyna-Style Reinforcement Learninโ€ฆ

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Engineering Preprint PDF DOI

Language-Guided Grasp Detection with Coarse-to-Fine Learning for Robotic Manipulation

Zebin Jiang, Tianle Jin, Xiangtong Yao, Alois Knoll, Hu Cao ยท 2025

Grasping is one of the most fundamental challenging capabilities in robotic manipulation, especially in unstructured, cluttered, and semantically diverse environments. Recent researches have increasinโ€ฆ

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Engineering Preprint PDF DOI

LSTM-Based Modeling and Reinforcement Learning Control of a Magnetically Actuated Catheter

Arya Rashidinejad Meibodi, Mahbod Gholamali Sinaki, Khalil Alipour ยท 2025

Autonomous magnetic catheter systems are emerging as a promising approach for the future of minimally invasive interventions. This study presents a novel approach that begins by modeling the nonlinearโ€ฆ

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Engineering Preprint PDF DOI

Tracing Energy Flow: Learning Tactile-based Grasping Force Control to Prevent Slippage in Dynamic Object Interaction

Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara ยท 2025

Regulating grasping force to reduce slippage during dynamic object interaction remains a fundamental challenge in robotic manipulation, especially when objects are manipulated by multiple rolling contโ€ฆ

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Engineering Preprint PDF DOI

A Graph-Augmented knowledge Distillation based Dual-Stream Vision Transformer with Region-Aware Attention for Gastrointestinal Disease Classification with Explainable AI

Md Assaduzzaman, Nushrat Jahan Oyshi, Eram Mahamud ยท 2025

The accurate classification of gastrointestinal diseases from endoscopic and histopathological imagery remains a significant challenge in medical diagnostics, mainly due to the vast data volume and suโ€ฆ

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When Experts Speak:Sequential LLM-Bayesian Learning for Startup Success Prediction

Yidong Chai, Yanguang Liu, Xuan Tian, Jiaheng Xie, Yonghang Zhou ยท 2025

Evaluating startups is inherently challenging in entrepreneurial finance, where investors confront severe information asymmetry and limited quantitative data. Leveraging a novel expert network call daโ€ฆ

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Engineering Preprint PDF DOI

Accelerating Underground Pumped Hydro Energy Storage Scheduling with Decision-Focused Learning

Honghui Zheng, Pietro Favaro, Yury Dvorkin, Jan Drgona ยท 2025

Underground pumped hydro energy storage (UPHES) systems play a critical role in grid-scale energy storage for renewable integration, yet optimal day-ahead scheduling remains computationally prohibitivโ€ฆ

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Proprioception Enhances Vision Language Model in Generating Captions and Subtask Segmentations for Robot Task

Kanata Suzuki, Shota Shimizu, Tetsuya Ogata ยท 2025

From the perspective of future developments in robotics, it is crucial to verify whether foundation models trained exclusively on offline data, such as images and language, can understand the robot moโ€ฆ

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Engineering Preprint PDF DOI

Systemization of Knowledge: Resilience and Fault Tolerance in Cyber-Physical Systems

Rahul Bulusu ยท 2025

Cyber-Physical Systems (CPS) now support critical infrastructure spanning transportation, energy, manufacturing, medical devices, and autonomous robotics. Their defining characteristic is the tight coโ€ฆ

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Engineering Preprint PDF DOI

Early warning signals for loss of control

Jasper J. van Beers, Marten Scheffer, Prashant Solanki, Ingrid A. van de Leemput, Egbert H. van Nes, Coen C. de Visser ยท 2025

Maintaining stability in feedback systems, from aircraft and autonomous robots to biological and physiological systems, relies on monitoring their behavior and continuously adjusting their inputs. Incโ€ฆ

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QoS- and Physics-Aware Routing in Optical LEO Satellite Networks via Deep Reinforcement Learning

Mohammad Taghi Dabiri, Rula Ammuri, Mazen Hasna, Khalid Qaraqe ยท 2025

Optical inter-satellite links (ISLs) are becoming the principal communication backbone in modern large-scale LEO constellations, offering multi-Gb/s capacity and near speed-of-light latency. However, โ€ฆ

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Engineering Preprint PDF DOI

ASCHOPLEX encounters Dafne: a federated continuous learning project for the generalizability of the Choroid Plexus automatic segmentation

Valentina Visani, Marco Pinamonti, Valentina Sammassimo, Manuela Moretto, Mattia Veronese, Agnese Tamanti, Francesca Benedetta Pizzini, Massimiliano Calabrese, Marco Castellaro, Francesco Santini ยท 2025

The Choroid Plexus (ChP) is a highly vascularized brain structure that plays a critical role in several physiological processes. ASCHOPLEX, a deep learning-based segmentation toolbox with an integrateโ€ฆ

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Learning-Enabled Elastic Network Topology for Distributed ISAC Service Provisioning

Jie Chen, Xianbin Wang ยท 2025

Conventional mobile networks, including both localized cell-centric and cooperative cell-free networks (CCN/CFN), are built upon rigid network topologies. However, neither architecture is adequate to โ€ฆ

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Dual-Encoder Transformer-Based Multimodal Learning for Ischemic Stroke Lesion Segmentation Using Diffusion MRI

Muhammad Usman, Azka Rehman, Muhammad Mutti Ur Rehman, Abd Ur Rehman, Muhammad Umar Farooq ยท 2025

Accurate segmentation of ischemic stroke lesions from diffusion magnetic resonance imaging (MRI) is essential for clinical decision-making and outcome assessment. Diffusion-Weighted Imaging (DWI) and โ€ฆ

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Engineering Preprint PDF DOI

CLIP Based Region-Aware Feature Fusion for Automated BBPS Scoring in Colonoscopy Images

Yujia Fu, Zhiyu Dong, Tianwen Qian, Chenye Zheng, Danian Ji, Linhai Zhuo ยท 2025

Accurate assessment of bowel cleanliness is essential for effective colonoscopy procedures. The Boston Bowel Preparation Scale (BBPS) offers a standardized scoring system but suffers from subjectivityโ€ฆ

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Engineering Preprint PDF DOI

Branch Learning in MRI: More Data, More Models, More Training

Yuyang Li, Yipin Deng, Zijian Zhou, Peng Hu ยท 2025

We investigated two complementary strategies for multicontrast cardiac MR reconstruction: physics-consistent data-space augmentation (DualSpaceCMR) and parameter-efficient capacity scaling via VQPrompโ€ฆ

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