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

SensHRPS: Sensing Comfortable Human-Robot Proxemics and Personal Space With Eye-Tracking

Nadezhda Kushina, Ko Watanabe, Aarthi Kannan, Ashita Ashok, Andreas Dengel, Karsten Berns ยท 2025

Social robots must adjust to human proxemic norms to ensure user comfort and engagement. While prior research demonstrates that eye-tracking features reliably estimate comfort in human-human interactiโ€ฆ

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Engineering Preprint PDF DOI

Learned iterative networks: An operator learning perspective

Andreas Hauptmann, Ozan Oktem ยท 2025

Learned image reconstruction has become a pillar in computational imaging and inverse problems. Among the most successful approaches are learned iterative networks, which are formulated by unrolling cโ€ฆ

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Engineering Preprint PDF DOI

Integration of AI-Driven CAD Systems in Designing Water and Power Transportation Infrastructure for Industrial and Remote Landscape Applications

Sunggyu Park ยท 2025

The integration of AI into CAD systems transforms how engineers plan and develop infrastructure projects involving water and power transportation across industrial and remote landscapes. This paper diโ€ฆ

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Engineering Preprint PDF DOI

Learning Robot Manipulation from Audio World Models

Fan Zhang, Michael Gienger ยท 2025

World models have demonstrated impressive performance on robotic learning tasks. Many such tasks inherently demand multimodal reasoning; for example, filling a bottle with water will lead to visual inโ€ฆ

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Engineering Preprint PDF DOI

Robust Finetuning of Vision-Language-Action Robot Policies via Parameter Merging

Yajat Yadav, Zhiyuan Zhou, Andrew Wagenmaker, Karl Pertsch, Sergey Levine ยท 2025

Generalist robot policies, trained on large and diverse datasets, have demonstrated the ability to generalize across a wide spectrum of behaviors, enabling a single policy to act in varied real-world โ€ฆ

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Engineering Preprint PDF DOI

BUT Systems for Environmental Sound Deepfake Detection in the ESDD 2026 Challenge

Junyi Peng, Lin Zhang, Jin Li, Oldrich Plchot, Jan Cernocky ยท 2025

This paper describes the BUT submission to the ESDD 2026 Challenge, specifically focusing on Track 1: Environmental Sound Deepfake Detection with Unseen Generators. To address the critical challenge oโ€ฆ

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Engineering Preprint PDF DOI

Geometry-Aligned Differential Privacy for Location-Safe Federated Radio Map Construction

Jijia Tian, Wangqian Chen, Junting Chen, Pooi-Yuen Kam ยท 2025

Radio maps that describe spatial variations in wireless signal strength are widely used to optimize networks and support aerial platforms. Their construction requires location-labeled signal measuremeโ€ฆ

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Engineering Preprint PDF DOI

Learning Spatiotemporal Tubes for Temporal Reach-Avoid-Stay Tasks using Physics-Informed Neural Networks

Ahan Basu, Ratnangshu Das, Pushpak Jagtap ยท 2025

This paper presents a Spatiotemporal Tube (STT)-based control framework for general control-affine MIMO nonlinear pure-feedback systems with unknown dynamics to satisfy prescribed time reach-avoid-staโ€ฆ

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Engineering Preprint PDF DOI

Semantic-Metric Bayesian Risk Fields: Learning Robot Safety from Human Videos with a VLM Prior

Timothy Chen, Marcus Dominguez-Kuhne, Aiden Swann, Xu Liu, Mac Schwager ยท 2025

Humans interpret safety not as a binary signal but as a continuous, context- and spatially-dependent notion of risk. While risk is subjective, humans form rational mental models that guide action seleโ€ฆ

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Engineering Preprint PDF DOI

Integrating Delay-Absorption Capability into Flight Departure Delay Prediction

Jianyang Zhou ยท 2025

Accurately forecasting flight departure delays is essential for improving operational efficiency and mitigating the cascading disruptions that propagate through tightly coupled aircraft rotations. Traโ€ฆ

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Engineering Preprint PDF DOI

Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-and-Language Navigation

Meng Wei, Chenyang Wan, Jiaqi Peng, Xiqian Yu, Yuqiang Yang, Delin Feng, Wenzhe Cai, Chenming Zhu, Tai Wang, Jiangmiao Pang, Xihui Liu ยท 2025

While recent large vision-language models (VLMs) have improved generalization in vision-language navigation (VLN), existing methods typically rely on end-to-end pipelines that map vision-language inpuโ€ฆ

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Engineering Preprint PDF DOI

Missing Wedge Inpainting and Joint Alignment in Electron Tomography through Implicit Neural Representations

Cedric Lim, Corneel Casert, Arthur R. C. McCray, Serin Lee, Andrew Barnum, Jennifer Dionne, Colin Ophus ยท 2025

Electron tomography is a powerful tool for understanding the morphology of materials in three dimensions, but conventional reconstruction algorithms typically suffer from missing-wedge artifacts and dโ€ฆ

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Broadband Thermoelectric Energy Harvesting for Wearable Biosensors Using Plasmonic Field-Enhancement and Machine-Learning-Guided Device Optimization

Hamidreza Moradi, Melika Filvantorkaman ยท 2025

Wearable biosensors increasingly require continuous and battery-free power sources, but conventional skin-mounted thermoelectric generators are limited by the small temperature differences available iโ€ฆ

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Engineering Preprint PDF DOI

An Introduction to Deep Reinforcement and Imitation Learning

Pedro Santana ยท 2025

Embodied agents, such as robots and virtual characters, must continuously select actions to execute tasks effectively, solving complex sequential decision-making problems. Given the difficulty of desiโ€ฆ

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Optimized Area Coverage in Disaster Response Utilizing Autonomous UAV Swarm Formations

Lampis Papakostas, Aristeidis Geladaris, Athanasios Mastrogeorgiou, Jim Sharples, Gautier Hattenberger, Panagiotis Chatzakos, Panagiotis Polygerinos ยท 2025

This paper presents a UAV swarm system designed to assist first responders in disaster scenarios like wildfires. By distributing sensors across multiple agents, the system extends flight duration and โ€ฆ

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Learning Dynamics from Infrequent Output Measurements for Uncertainty-Aware Optimal Control

Robert Lefringhausen, Theodor Springer, Sandra Hirche ยท 2025

Reliable optimal control is challenging when the dynamics of a nonlinear system are unknown and only infrequent, noisy output measurements are available. This work addresses this setting of limited seโ€ฆ

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Engineering Preprint PDF DOI

VLD: Visual Language Goal Distance for Reinforcement Learning Navigation

Lazar Milikic, Manthan Patel, Jonas Frey ยท 2025

Training end-to-end policies from image data to directly predict navigation actions for robotic systems has proven inherently difficult. Existing approaches often suffer from either the sim-to-real gaโ€ฆ

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Engineering Preprint PDF DOI

Augmented Neural Ordinary Differential Equations for Power System Identification

Hannes M. H. Wolf, Christian A. Hans ยท 2025

Due the complexity of modern power systems, modeling based on first-order principles becomes increasingly difficult. As an alternative, dynamical models for simulation and control design can be obtainโ€ฆ

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Engineering Preprint PDF DOI

Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks

Aileen Liao, Dong-Ki Kim, Max Olan Smith, Ali-akbar Agha-mohammadi, Shayegan Omidshafiei ยท 2025

As a robot senses and selects actions, the world keeps changing. This inference delay creates a gap of tens to hundreds of milliseconds between the observed state and the state at execution. In this wโ€ฆ

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Engineering Preprint PDF DOI

Multi-Domain Motion Embedding: Expressive Real-Time Mimicry for Legged Robots

Matthias Heyrman, Chenhao Li, Victor Klemm, Dongho Kang, Stelian Coros, Marco Hutter ยท 2025

Effective motion representation is crucial for enabling robots to imitate expressive behaviors in real time, yet existing motion controllers often ignore inherent patterns in motion. Previous efforts โ€ฆ

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