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

Optimal Regulation of Nonlinear Input-Affine Systems via an Integral Reinforcement Learning-Based State-Dependent Riccati Equation Approach

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

The State-Dependent Riccati Equation (SDRE) technique generalizes the classical algebraic Riccati formulation to nonlinear systems by designing an input to the system that optimally(suboptimally) reguโ€ฆ

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Engineering Preprint PDF DOI

Leveraging Machine Learning for Early Detection of Lung Diseases

Bahareh Rahmani, Harsha Reddy Bindela, Rama Kanth Reddy Gosula, Krishna Yedubati, Mohammad Amir Salari, Leslie Hinyard, Payam Norouzzadeh, Eli Snir, Martin Schoen ยท 2025

A combination of traditional image processing methods with advanced neural networks concretes a predictive and preventive healthcare paradigm. This study offers rapid, accurate, and non-invasive diagnโ€ฆ

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Engineering Preprint PDF DOI

MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression

Kai-Hsiang Hsieh, Monyneath Yim, Wen-Hsiao Peng, Jui-Chiu Chiang ยท 2025

Joint compression of point cloud geometry and attributes is essential for efficient 3D data representation. Existing methods often rely on post-hoc recoloring procedures and manually tuned bitrate allโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Deep Reinforcement Learning for Joint Resource Allocation in Multi-Active RIS-Aided Uplink Communications

Mohamed Shalma, Engy Aly Maher, Ahmed El-Mahdy ยท 2025

Active Reconfigurable Intelligent Surfaces (RIS) are a promising technology for 6G wireless networks. This paper investigates a novel hybrid deep reinforcement learning (DRL) framework for resource alโ€ฆ

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Engineering Preprint PDF DOI

Bab_Sak Robotic Intubation System (BRIS): A Learning-Enabled Control Framework for Safe Fiberoptic Endotracheal Intubation

Saksham Gupta, Sarthak Mishra, Arshad Ayub, Kamran Farooque, Spandan Roy, Babita Gupta ยท 2025

Endotracheal intubation is a critical yet technically demanding procedure, with failure or improper tube placement leading to severe complications. Existing robotic and teleoperated intubation systemsโ€ฆ

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Engineering Preprint PDF DOI

A Light Weight Neural Network for Automatic Modulation Classification in OFDM Systems

Indiwara Nanayakkara, Dehan Jayawickrama, Dasuni Jayawardena, Vijitha R. Herath, Arjuna Madanayake ยท 2025

Automatic Modulation Classification (AMC) is a vital component in the development of intelligent and adaptive transceivers for future wireless communication systems. Existing statistically-based blindโ€ฆ

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Engineering Preprint PDF DOI

Flexible Multitask Learning with Factorized Diffusion Policy

Chaoqi Liu, Haonan Chen, Sigmund H. H{o}eg, Shaoxiong Yao, Yunzhu Li, Kris Hauser, Yilun Du ยท 2025

Multitask learning poses significant challenges due to the highly multimodal and diverse nature of robot action distributions. However, effectively fitting policies to these complex task distributionsโ€ฆ

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Engineering Preprint PDF DOI

Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space

Weichen Zhang, Peizhi Tang, Xin Zeng, Fanhang Man, Shiquan Yu, Zichao Dai, Baining Zhao, Hongjin Chen, Yu Shang, Wei Wu, Chen Gao, Xinlei Chen, Xin Wang, Yong Li, Wenwu Zhu ยท 2025

Unmanned aerial vehicles (UAVs) have emerged as powerful embodied agents. One of the core abilities is autonomous navigation in large-scale three-dimensional environments. Existing navigation policiesโ€ฆ

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Engineering Preprint PDF DOI

Contextual Biasing for LLM-Based ASR with Hotword Retrieval and Reinforcement Learning

YuXiang Kong, JunFeng Hou, Jian Tang, Bingqing Zhu, Jicheng Zhang, Shaofei Xue ยท 2025

Large language model (LLM)-based automatic speech recognition (ASR) has recently achieved strong performance across diverse tasks, yet contextual biasing for named entities and hotwords under large voโ€ฆ

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Engineering Preprint PDF DOI

Q-A3C2: Quantum Reinforcement Learning with Time-Series Dynamic Clustering for Adaptive ETF Stock Selection

Yen-Ku Liu, Yun-Cheng Tsai, Samuel Yen-Chi Chen ยท 2025

Traditional ETF stock selection methods and reinforcement learning models such as the Asynchronous Advantage Actor-Critic (A3C) often suffer from high-dimensional feature spaces and overfitting when aโ€ฆ

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Engineering Preprint PDF DOI

UniLabOS: An AI-Native Operating System for Autonomous Laboratories

Jing Gao, Junhan Chang, Haohui Que, Yanfei Xiong, Shixiang Zhang, Xianwei Qi, Zhen Liu, Jun-Jie Wang, Qianjun Ding, Xinyu Li, Ziwei Pan, Qiming Xie, Zhuang Yan, Junchi Yan, Linfeng Zhang ยท 2025

Autonomous laboratories promise to accelerate discovery by coupling learning algorithms with robotic experimentation, yet adoption remains limited by fragmented software that separates high-level planโ€ฆ

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Engineering Preprint PDF DOI

Economic and Reliability Value of Improved Offshore Wind Forecasting in Bulk Power Grid Operation: A Case Study of The New York Power Grid

Khaled Bin Walid, Feng Ye, Jiaxiang Ji, Ahmed Aziz Ezzat, Travis Miles, Yazhou Leo Jiang ยท 2025

This study investigates the economic and reliability benefits of improved offshore wind forecasting for grid operations along the U.S. East Coast. We introduce and evaluate a state-of-the-art, machineโ€ฆ

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Engineering Preprint PDF DOI

Towards Learning-Based Formula 1 Race Strategies

Giona Fieni, Joschua Wuthrich, Marc-Philippe Neumann, Mohammad M. Moradi, Christopher H. Onder ยท 2025

This paper presents two complementary frameworks to optimize Formula 1 race strategies, jointly accounting for energy allocation, tire wear and pit stop timing. First, the race scenario is modeled usiโ€ฆ

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Engineering Preprint PDF DOI

Spatiotemporal Tubes for Probabilistic Temporal Reach-Avoid-Stay Task in Uncertain Dynamic Environment

Siddhartha Upadhyay, Ratnangshu Das, Pushpak Jagtap ยท 2025

In this work, we extend the Spatiotemporal Tube (STT) framework to address Probabilistic Temporal Reach-Avoid-Stay (PrT-RAS) tasks in dynamic environments with uncertain obstacles. We develop a real-tโ€ฆ

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Engineering Preprint PDF DOI

Planetary Terrain Datasets and Benchmarks for Rover Path Planning

Marvin Chancan, Avijit Banerjee, George Nikolakopoulos ยท 2025

Planetary rover exploration is attracting renewed interest with several upcoming space missions to the Moon and Mars. However, a substantial amount of data from prior missions remain underutilized forโ€ฆ

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Engineering Preprint PDF DOI

Lyapunov-Based Kolmogorov-Arnold Network (KAN) Adaptive Control

Xuehui Shen, Wenqian Xue, Yixuan Wang, Warren E. Dixon ยท 2025

Recent advancements in Lyapunov-based Deep Neural Networks (Lb-DNNs) have demonstrated improved performance over shallow NNs and traditional adaptive control for nonlinear systems with uncertain dynamโ€ฆ

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Engineering Preprint PDF DOI

Developing Fundamental Diagrams for Urban Air Mobility Traffic Based on Physical Experiments

Hang Zhou, Yuhui Zhai, Shiyu Shen, Yanfeng Ouyang, Xiaowei Shi, Xiaopeng Li ยท 2025

Urban Air Mobility (UAM) is an emerging application of unmanned aerial vehicles that promises to reduce travel time and alleviate congestion in urban transportation systems. As drone density increasesโ€ฆ

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Engineering Preprint PDF DOI

Neural Network-Assisted RIS Weight Optimization for Spatial Nulling in Distorted Reflector Antenna Systems

Xinrui Li, R. Michael Buehrer ยท 2025

Reconfigurable intelligent surfaces (RIS) have recently been proposed as an effective means for spatial interference suppression in large reflector antenna systems. Existing RIS weight optimization alโ€ฆ

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Engineering Preprint PDF DOI

RoboCade: Gamifying Robot Data Collection

Suvir Mirchandani, Mia Tang, Jiafei Duan, Jubayer Ibn Hamid, Michael Cho, Dorsa Sadigh ยท 2025

Imitation learning from human demonstrations has become a dominant approach for training autonomous robot policies. However, collecting demonstration datasets is costly: it often requires access to roโ€ฆ

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Engineering Preprint PDF DOI

UniTacHand: Unified Spatio-Tactile Representation for Human to Robotic Hand Skill Transfer

Chi Zhang, Penglin Cai, Haoqi Yuan, Chaoyi Xu, Zongqing Lu ยท 2025

Tactile sensing is crucial for robotic hands to achieve human-level dexterous manipulation, especially in scenarios with visual occlusion. However, its application is often hindered by the difficulty โ€ฆ

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