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

A Dual-Stream Transformer Architecture for Illumination-Invariant TIR-LiDAR Person Tracking

Yuki Minase, Kanji Tanaka ยท 2026

Robust person tracking is a critical capability for autonomous mobile robots operating in diverse and unpredictable environments. While RGB-D tracking has shown high precision, its performance severelโ€ฆ

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Engineering Preprint PDF DOI

Real Time Local Wind Inference for Robust Autonomous Navigation

Spencer Folk ยท 2026

This thesis presents a solution that enables aerial robots to reason about surrounding wind flow fields in real time using on board sensors and embedded flight hardware. The core novelty of this reseaโ€ฆ

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Engineering Preprint PDF DOI

Hierarchical Motion Planning and Control under Unknown Nonlinear Dynamics via Predicted Reachability

Zhiquan Zhang, Melkior Ornik ยท 2026

Autonomous motion planning under unknown nonlinear dynamics requires learning system properties while navigating toward a target. In this work, we develop a hierarchical planning-control framework thaโ€ฆ

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Engineering Preprint PDF DOI

Play-Testing REMind: Evaluating an Educational Robot-Mediated Role-Play Game

Elaheh Sanoubari, Neil Fernandes, Keith Rebello, Alicia Pan, Andrew Houston, Kerstin Dautenhahn ยท 2026

This paper presents REMind, an innovative educational robot-mediated role-play game designed to support anti-bullying bystander intervention among children. REMind invites players to observe a bullyinโ€ฆ

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Engineering Preprint PDF DOI

Certified Set Convergence for Piecewise Affine Systems via Neural Lyapunov Functions

Yanliang Huang, Peng Xie, Zhen Zhang, Wenyuan Wu, Zhuoqi Zeng, Amr Alanwar ยท 2026

Safety-critical control of piecewise affine (PWA) systems under bounded additive disturbances requires guarantees not for individual states but for entire state sets simultaneously: a single control aโ€ฆ

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Engineering Preprint PDF DOI

Feature-level Site Leakage Reduction for Cross-Hospital Chest X-ray Transfer via Self-Supervised Learning

Ayoub Louaye Bouaziz, Lokmane Chebouba ยท 2026

Cross-hospital failure in chest X-ray models is often attributed to domain shift, yet most work assumes invariance without measuring it. This paper studies how to measure site leakage directly and howโ€ฆ

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Engineering Preprint PDF DOI

Evaluation of neuroCombat and deep learning harmonization for multi-site magnetic resonance neuroimaging in youth with prenatal alcohol exposure

Chloe Scholten, Elyssa M. McMaster, Adam M. Saunders, Michael E. Kim, Gaurav Rudravaram, Elias Levy, Bryce Geeraert, Lianrui Zuo, Simon Vandekar, Catherine Lebel, Bennett A. Landman ยท 2026

In cases of prevalent diseases and disorders, such as Prenatal Alcohol Exposure (PAE), multi-site data collection allows for increased study samples. However, multi-site studies introduce additional vโ€ฆ

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Engineering Preprint PDF DOI

Learning Compact Terrain-Context Representations for Feasibility-Aware Offline Reinforcement Learning in UAV Relaying Networks

Joseanne Viana, Viswak R Balaji, Boris Galkin, Lester Ho, Holger Claussen ยท 2026

Offline reinforcement learning (RL) is an attractive tool for unmanned aerial vehicle (UAV) systems, where online exploration is costly and raises safety concerns. In terrain-aware UAV relaying, agentโ€ฆ

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Engineering Preprint PDF DOI

Scalable machine learning-based approaches for energy saving in densely deployed Open RAN

Xuanyu Liang, Ahmed Al-Tahmeesschi, Swarna Chetty, Cicek Cavdar, Berk Canberk, Hamed Ahmadi ยท 2026

Densely deployed base stations are responsible for the majority of the energy consumed in Radio access network (RAN). While these deployments are crucial to deliver the required data rate in busy hourโ€ฆ

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Engineering Preprint PDF DOI

Finite-Time Analysis of Projected Two-Time-Scale Stochastic Approximation

Yitao Bai, Thinh T. Doan, Justin Romberg ยท 2026

We study the finite-time convergence of projected linear two-time-scale stochastic approximation with constant step sizes and Polyak--Ruppert averaging. We establish an explicit mean-square error bounโ€ฆ

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Engineering Preprint PDF DOI

Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning

Anand Gokhale, Anton V. Proskurnikov, Yu Kawano, Francesco Bullo ยท 2026

This paper studies contractivity of firing-rate and Hopfield recurrent neural networks. We derive sharp LMI conditions on the synaptic matrices that characterize contractivity of both architectures, fโ€ฆ

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Engineering Preprint PDF DOI

HapCompass: A Rotational Haptic Device for Contact-Rich Robotic Teleoperation

Xiangshan Tan, Jingtian Ji, Tianchong Jiang, Pedro Lopes, Matthew R. Walter ยท 2026

The contact-rich nature of manipulation makes it a significant challenge for robotic teleoperation. While haptic feedback is critical for contact-rich tasks, providing intuitive directional cues withiโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Framework for Robotic Manipulation: Integrating Reinforcement Learning and Large Language Models

Md Saad, Sajjad Hussain, Mohd Suhaib ยท 2026

This paper introduces a new hybrid framework that combines Reinforcement Learning (RL) and Large Language Models (LLMs) to improve robotic manipulation tasks. By utilizing RL for accurate low-level coโ€ฆ

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ICAT: Incident-Case-Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models

Zhenglin Lai, Sirui Huang, Yuteng Li, Changxin Huang, Jianqiang Li, Bingzhe Wu ยท 2026

Video-generative world models are increasingly used as neural simulators for embodied planning and policy learning, yet their ability to predict physical risk and severe consequences is rarely evaluatโ€ฆ

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Sensor array and camera fusion via unbalanced optimal transport for 3D source localization

Ilyes Jaouedi (L2S), Gilles Chardon (L2S), Jose Picheral (L2S) ยท 2026

We address the problem of localizing multiple sources in 3D by combining sensor array measurements with camera observations. We propose a fusion framework extending the covariance matrix fitting methoโ€ฆ

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Engineering Preprint PDF DOI

Passive iFIR filters for data-driven velocity control in robotics

Yi Zhang, Zixing Wang, Fulvio Forni ยท 2026

We present a passive, data-driven velocity control method for nonlinear robotic manipulators that achieves better tracking performance than optimized PID with comparable design complexity. Using only โ€ฆ

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Engineering Preprint PDF DOI

An Output Feedback Q-learning Algorithm for Optimal Control of Nonlinear Systems with Koopman Linear Embedding

Victor G. Lopez, Malte Heinrich, Matthias A. Muller ยท 2026

In the reinforcement learning literature, strong theoretical guarantees have been obtained for algorithms applicable to LTI systems. However, in the nonlinear case only weaker results have been obtainโ€ฆ

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Engineering Preprint PDF DOI

JEPA-MSAC: A Joint-Embedding Predictive Architecture for Multimodal Sensing-Assisted Communications

Can Zheng, Jiguang He, Guofa Cai, Nannan Li, Mehdi Bennis, Henk Wymeersch, Merouane Debbah ยท 2026

Future wireless systems increasingly require predictive and transferable representations that can support multiple physical-layer (PHY) tasks under dynamic environments. However, most existing superviโ€ฆ

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Engineering Preprint PDF DOI

Where to Put Safety? Control Barrier Function Placement in Networked Control Systems

Severin Beger, Yuling Chen, Sandra Hirche ยท 2026

Ensuring safe behavior is critical for modern autonomous cyber-physical systems. Control barrier functions (CBFs) are widely used to enforce safety in autonomous systems, yet their placement within neโ€ฆ

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Engineering Preprint PDF DOI

Fisher Information Limits of Satellite RF Fingerprint Identifiability for Authentication

Haofan Dong, Ozgur B. Akan ยท 2026

RF fingerprinting authenticates satellite transmitters by exploiting hardware-specific signal impairments, yet existing methods operate without theoretical performance guarantees. We derive the Fisherโ€ฆ

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