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

Robust Evacuation for Multi-Drone Failure in Drone Light Shows

Minhyuk Park, Aloysius K. Mok, Tsz-Chiu Au ยท 2026

Drone light shows have emerged as a popular form of entertainment in recent years. However, several high-profile incidents involving large-scale drone failures -- where multiple drones simultaneously โ€ฆ

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Engineering Preprint PDF DOI

USFetal: Tools for Fetal Brain Ultrasound Compounding

Mohammad Khateri, Morteza Ghahremani, Sergio Valencia, Camilo Jaimes, Alejandra Sierra, Jussi Tohka, P. Ellen Grant, Davood Karimi ยท 2026

Ultrasound offers a safe, cost-effective, and widely accessible technology for fetal brain imaging, making it especially suitable for routine clinical use. However, it suffers from view-dependent artiโ€ฆ

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Engineering Preprint PDF DOI

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking

Juan Miguel Lopez Alcaraz, Xicotencatl Lopez Moran, Erick Davila Zaragoza, Claas Handel, Richard Koebe, Wilhelm Haverkamp, Nils Strodthoff ยท 2026

Artificial intelligence holds strong potential to support clinical decision making in intensive care units where timely and accurate risk assessment is critical. However, many existing models focus onโ€ฆ

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Engineering Preprint PDF DOI

Lightweight Resolution-Aware Audio Deepfake Detection via Cross-Scale Attention and Consistency Learning

K.A.Shahriar ยท 2026

Audio deepfake detection has become increasingly challenging due to rapid advances in speech synthesis and voice conversion technologies, particularly under channel distortions, replay attacks, and reโ€ฆ

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Engineering Preprint PDF DOI

Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal Control

Roya Khalili Amirabadi, Mohsen Jalaeian Farimani, Omid Solaymani Fard ยท 2026

This paper proposes a novel reinforcement learning framework, named Self-Organizing Dual-buffer Adaptive Clustering Experience Replay (SODACER), designed to achieve safe and scalable optimal control oโ€ฆ

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Engineering Preprint PDF DOI

Coupling Smoothed Particle Hydrodynamics with Multi-Agent Deep Reinforcement Learning for Cooperative Control of Point Absorbers

Yi Zhan, Ivan Martinez-Estevez, Min Luo, Alejandro J.C. Crespo, Abbas Khayyer ยท 2026

Wave Energy Converters, particularly point absorbers, have emerged as one of the most promising technologies for harvesting ocean wave energy. Nevertheless, achieving high conversion efficiency remainโ€ฆ

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Engineering Preprint PDF DOI

Neuro-Wideband WiFi Sensing via Self-Conditioned CSI Extrapolation

Sijie Ji, Weiying Hou, Chenshu Wu ยท 2026

WiFi sensing has suffered from the limited bandwidths designated for its original communication purpose, leading to fundamental limits in multipath resolution and thus multi-user sensing. Unfortunatelโ€ฆ

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Engineering Preprint PDF DOI

R$^3$D: Regional-guided Residual Radar Diffusion

Hao Li, Xinqi Liu, Yaoqing Jin ยท 2026

Millimeter-wave radar enables robust environment perception in autonomous systems under adverse conditions yet suffers from sparse, noisy point clouds with low angular resolution. Existing diffusion-bโ€ฆ

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Engineering Preprint PDF DOI

CulinaryCut-VLAP: A Vision-Language-Action-Physics Framework for Food Cutting via a Force-Aware Material Point Method

Hyunseo Koh, Chang-Yong Song, Youngjae Choi, Misa Viveiros, David Hyde, Heewon Kim ยท 2026

Food cutting is a highly practical yet underexplored application at the intersection of vision and robotic manipulation. The task remains challenging because interactions between the knife and deformaโ€ฆ

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Engineering Preprint PDF DOI

Deep Reinforcement Learning based Control Design for Aircraft Recovery from Loss-of-Control Scenario

Imran Sayyed, Aayush Konar, Nandan Kumar Sinha ยท 2026

Loss-of-control (LOC) remains a leading cause of fixed-wing aircraft accidents, especially in post-stall and flat-spin regimes where conventional gain-scheduled or logic-based recovery laws may fail. โ€ฆ

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Engineering Preprint PDF DOI

Building Envelope Inversion by Data-driven Interpretation of Ground Penetrating Radar

Ahmed Nirjhar Alam, Wesley Reinhart, Rebecca Napolitano ยท 2026

Ground-penetrating radar (GPR) combines depth resolution, non-destructive operation, and broad material sensitivity, yet it has seen limited use in diagnosing building envelopes. The compact geometry โ€ฆ

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Walk the PLANC: Physics-Guided RL for Agile Humanoid Locomotion on Constrained Footholds

Min Dai, William D. Compton, Junheng Li, Lizhi Yang, Aaron D. Ames ยท 2026

Bipedal humanoid robots must precisely coordinate balance, timing, and contact decisions when locomoting on constrained footholds such as stepping stones, beams, and planks -- even minor errors can leโ€ฆ

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Engineering Preprint PDF DOI

Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions

Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi, Suresh Jagannathan ยท 2026

As hardware and software systems have grown in complexity, formal methods have been indispensable tools for rigorously specifying acceptable behaviors, synthesizing programs to meet these specificatioโ€ฆ

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Engineering Preprint PDF DOI

Cedalion Tutorial: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world

E. Middell, L. Carlton, S. Moradi, T. Codina, T. Fischer, J. Cutler, S. Kelley, J. Behrendt, T. Dissanayake, N. Harmening, M. A. Yucel, D. A. Boas, A. von Luhmann ยท 2026

Functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) are rapidly evolving toward wearable, multimodal, and data-driven, AI-supported neuroimaging in the everyday world. Hโ€ฆ

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Engineering Preprint PDF DOI

A Novel Deep Learning-Based Coarse-to-Fine Frame Synchronization Method for OTFS Systems

Meiwen Men, Tao Zhou, Kaifeng Bao, Zhiyang Guo, Yongning Qi, Liu Liu, Bo Ai ยท 2026

Orthogonal time frequency space (OTFS) modulation is a robust candidate waveform for future wireless systems, particularly in high-mobility scenarios, as it effectively mitigates the impact of rapidlyโ€ฆ

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Intelligent Singularity Avoidance in UR10 Robotic Arm Path Planning Using Hybrid Fuzzy Logic and Reinforcement Learning

Sheng-Kai Chen, Jyh-Horng Wu ยท 2026

This paper presents a comprehensive approach to singularity detection and avoidance in UR10 robotic arm path planning through the integration of fuzzy logic safety systems and reinforcement learning aโ€ฆ

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EvoQRE: Modeling Bounded Rationality in Safety-Critical Traffic Simulation via Evolutionary Quantal Response Equilibrium

Phu-Hoa Pham, Chi-Nguyen Tran, Duy-Minh Dao-Sy, Phu-Quy Nguyen-Lam, Trung-Kiet Huynh ยท 2026

Existing traffic simulation frameworks for autonomous vehicles typically rely on imitation learning or game-theoretic approaches that solve for Nash or coarse correlated equilibria, implicitly assuminโ€ฆ

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Engineering Preprint PDF DOI

Learning specifications for reactive synthesis with safety constraints

Kandai Watanabe, Nicholas Renninger, Sriram Sankaranarayanan, Morteza Lahijanian ยท 2026

This paper presents a novel approach to learning from demonstration that enables robots to autonomously execute complex tasks in dynamic environments. We model latent tasks as probabilistic formal lanโ€ฆ

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Engineering Preprint PDF DOI

Generate, Transfer, Adapt: Learning Functional Dexterous Grasping from a Single Human Demonstration

Xingyi He, Adhitya Polavaram, Yunhao Cao, Om Deshmukh, Tianrui Wang, Xiaowei Zhou, Kuan Fang ยท 2026

Functional grasping with dexterous robotic hands is a key capability for enabling tool use and complex manipulation, yet progress has been constrained by two persistent bottlenecks: the scarcity of laโ€ฆ

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Engineering Preprint PDF DOI

Online Bayesian Learning of Agent Behavior in Differential Games

Francesco Bianchin, Robert Lefringhausen, Sandra Hirche ยท 2026

This work introduces an online Bayesian game-theoretic method for behavior identification in multi-agent dynamical systems. By casting Hamilton-Jacobi-Bellman optimality conditions as linear-in-parameโ€ฆ

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