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

Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation

Ljupcho Milosheski, Fedja Mocnik, Mihael Mohorcic, Carolina Fortuna ยท 2026

Next-generation wireless systems such as 6G operate at higher frequency bands, making signal propagation highly sensitive to environmental factors such as buildings and vege- tation. Accurate Radio Enโ€ฆ

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Engineering Preprint PDF DOI

The Breakthrough of Sleep: A Contactless Approach for Accurate Sleep Stage Detection Using the Sleepal AI Lamp

Zhuo Diao, Yueting Li, Jianpeng Wang, Shengyu Guan, Xinwei Wang, Wenxiong Cui, Xin Shi, Tong Liu, Kailai Sun, Jingyu Wang, Dian Fan, Thomas Penzel ยท 2026

Sleep staging is essential for the assessment of sleep quality and the diagnosis of sleep-related disorders. Conventional polysomnography (PSG), while considered the gold standard, is intrusive, laborโ€ฆ

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Engineering Preprint PDF DOI

Waveguide to Meaning: Semantic-Aware NOMA for Pinching-Antenna Systems

Ishtiaque Ahmed, Haris Parvaiz, Leila Musavian ยท 2026

We investigate the performance of the pinching-antenna systems (PASS) for semantic communication (SC) in both single-waveguide and multi-waveguide scenarios, under the constraints of bit-user quality โ€ฆ

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Engineering Preprint PDF DOI

LatentMimic: Terrain-Adaptive Locomotion via Latent Space Imitation

Zhiquan Wang, Yunyu Liu, Dipam Patel, Ayush Kumar, Aniket Bera, Bedrich Benes ยท 2026

Developing natural and diverse locomotion controllers for quadruped robots that can adapt to complex terrains while preserving motion style remains a significant challenge. Existing imitation-based meโ€ฆ

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Engineering Preprint PDF DOI

ExpressMM: Expressive Mobile Manipulation Behaviors in Human-Robot Interactions

Souren Pashangpour, Haitong Wang, Matthew Lisondra, Goldie Nejat ยท 2026

Mobile manipulators are increasingly deployed in human-centered environments to perform tasks. While completing such tasks, they should also be able to communicate their intent to the people around thโ€ฆ

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Engineering Preprint PDF DOI

Instantaneous Planning, Control and Safety for Navigation in Unknown Underwater Spaces

Veejay Karthik, Udit Ekansh, Tejal Bedmutha, Shivam Vishwakarma, Rohan Deshpande, Leena Vachhani ยท 2026

Navigating autonomous underwater vehicles (AUVs) in unknown environments is significantly challenging due to poor visibility, weak signal transmission, and dynamic water currents. These factors pose cโ€ฆ

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Engineering Preprint PDF DOI

Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection

Arjan Mahmuod, Adrian Rod Hammerstad, Muzaffar Yousef, Yngve Sebastian Heill, Jonas L. Isaksen, J{o}rgen K. Kanters, Pal Halvorsen, Vajira Thambawita ยท 2026

Deep learning models for atrial fibrillation (AF) detection are increasingly trained on heterogeneous electrocardiogram (ECG) datasets with varying sampling frequencies, yet the specific consequences โ€ฆ

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Engineering Preprint PDF DOI

Scalar Federated Learning for Linear Quadratic Regulator

Mohammadreza Rostami, Shahriar Talebi, Solmaz S. Kia ยท 2026

We propose ScalarFedLQR, a communication-efficient federated algorithm for model-free learning of a common policy in linear quadratic regulator (LQR) control of heterogeneous agents. The method buildsโ€ฆ

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Engineering Preprint PDF DOI

Learning Kalman Policy for Singular Unknown Covariances via Riemannian Regularization

Larsen Bier, Shahriar Talebi ยท 2026

Kalman filtering is a cornerstone of estimation theory, yet learning the optimal filter under unknown and potentially singular noise covariances remains a fundamental challenge. In this paper, we reviโ€ฆ

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Engineering Preprint PDF DOI

GaussFly: Contrastive Reinforcement Learning for Visuomotor Policies in 3D Gaussian Fields

Yuhang Zhang, Mingsheng Li, Yujing Shang, Zhuoyuan Yu, Chao Yan, Jiaping Xiao, Mir Feroskhan ยท 2026

Learning visuomotor policies for Autonomous Aerial Vehicles (AAVs) relying solely on monocular vision is an attractive yet highly challenging paradigm. Existing end-to-end learning approaches directlyโ€ฆ

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Engineering Preprint PDF DOI

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

StarVLA Community ยท 2026

Building generalist embodied agents requires integrating perception, language understanding, and action, which are core capabilities addressed by Vision-Language-Action (VLA) approaches based on multiโ€ฆ

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Engineering Preprint PDF DOI

Full-Duplex-Bench-v3: Benchmarking Tool Use for Full-Duplex Voice Agents Under Real-World Disfluency

Guan-Ting Lin, Chen Chen, Zhehuai Chen, Hung-yi Lee ยท 2026

We introduce Full-Duplex-Bench-v3 (FDB-v3), a benchmark for evaluating spoken language models under naturalistic speech conditions and multi-step tool use. Unlike prior work, our dataset consists entiโ€ฆ

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Engineering Preprint PDF DOI

AnyUser: Translating Sketched User Intent into Domestic Robots

Songyuan Yang, Huibin Tan, Kailun Yang, Wenjing Yang, Shaowu Yang ยท 2026

We introduce AnyUser, a unified robotic instruction system for intuitive domestic task instruction via free-form sketches on camera images, optionally with language. AnyUser interprets multimodal inpuโ€ฆ

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Engineering Preprint PDF DOI

ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration

Rongfeng Zhao, Xuanhao Zhang, Zhaochen Guo, Xiang Shao, Zhongpan Zhu, Bin He, Jie Chen ยท 2026

The integration of large language models (LLMs) with embodied agents has improved high-level reasoning capabilities; however, a critical gap remains between semantic understanding and physical executiโ€ฆ

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Engineering Preprint PDF DOI

Biologically Inspired Event-Based Perception and Sample-Efficient Learning for High-Speed Table Tennis Robots

Ziqi Wang, Jingyue Zhao, Xun Xiao, Jichao Yang, Yaohua Wang, Shi Xu, Lei Wang, Huadong Dai ยท 2026

Perception and decision-making in high-speed dynamic scenarios remain challenging for current robots. In contrast, humans and animals can rapidly perceive and make decisions in such environments. Takiโ€ฆ

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Engineering Preprint PDF DOI

Activity Recognition Using mm-Wave Radar and Deep Learning: Prayer Tracker Case Study

Karim Saifullin, Sajid Ahmed, Mohamed-Slim Alouini ยท 2026

The issue of privacy has gained significant attention in recent times. Many real-world applications increasingly require the use of sensitive data, such as in surveillance or tracking and assistance sโ€ฆ

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Engineering Preprint PDF DOI

DRL-Based Phase Optimization for O-RIS in Dual-Hop Hard-Switching FSO/RIS-aided RF and UWOC Systems

Aboozar Heydaribeni, Hamzeh Beyranvand, Sahar Eslami ยท 2026

This paper presents a dual-hop hybrid framework that integrates a free-space optical (FSO)/RIS-aided radio frequency (RF) link operating under a hard-switching protocol as the first hop, and an opticaโ€ฆ

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Engineering Preprint PDF DOI

Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation?

Zhongru Zhang, Chenghan Yang, Qingzhou Lu, Yanjiang Guo, Jianke Zhang, Yucheng Hu, Jianyu Chen ยท 2026

Video generation models have advanced rapidly and are beginning to show a strong understanding of physical dynamics. In this paper, we investigate how far an advanced video generation model such as Veโ€ฆ

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Engineering Preprint PDF DOI

Distributed Covariance Steering via Non-Convex ADMM for Large-Scale Multi-Agent Systems

Augustinos D. Saravanos, Isin M. Balci, Arshiya Taj Abdul, Efstathios Bakolas, Evangelos A. Theodorou ยท 2026

This paper studies the problem of steering large-scale multi-agent stochastic linear systems between Gaussian distributions under probabilistic collision avoidance constraints. We introduce a family oโ€ฆ

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Engineering Preprint PDF DOI

RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation

Anuvab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay ยท 2026

This paper presents RAVEN, a computationally efficient deep learning architecture for FMCW radar perception. The method processes raw ADC data in a chirp-wise streaming manner, preserves MIMO structurโ€ฆ

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