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๐Ÿ” parent child relations ๐Ÿ“‚ Engineering
Showing 3683 results for "parent child relations" in Engineering
Engineering Preprint PDF DOI

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng ยท 2026

Vision-Language-Action (VLA) models have increasingly incorporated reasoning mechanisms for complex robotic manipulation. However, existing approaches share a critical limitation: whether employing exโ€ฆ

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Engineering Preprint PDF DOI

Hierarchical Control for Continuous-time Systems via General Approximate Alternating Simulation Relations

Zhiyuan Huang, Shuo Li, Murat Arcak, Majid Zamani, Bingzhuo Zhong ยท 2026

This paper introduces a general approximate alternating simulation relation (\emph{$\varepsilon$-gAAS relation}) for continuous-time systems, which relaxes existing simulation relations to tolerate laโ€ฆ

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Engineering Preprint PDF DOI

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC

Seungho Han, Seokju Lee, Jeonguk Kang ยท 2026

Dense, dynamic crowds pose a persistent challenge for autonomous mobile robots. Purely reactive planning methods, such as Model Predictive Path Integral (MPPI) control, often fail to escape local miniโ€ฆ

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Engineering Preprint PDF DOI

Modeling of Wastewater Treatment Processes with HydroSludge

S. Iserte, P. Carratala, R. Arnau, R. Martinez-Cuenca, P. Barreda, L. Basiero, J. Climent, S. Chiva ยท 2026

The pressure for Water Resource Recovery Facilities (WRRF) operators to efficiently treat wastewater is greater than ever because of the water crisis, produced by the climate change effects and more rโ€ฆ

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Engineering Preprint PDF DOI

KinDER: A Physical Reasoning Benchmark for Robot Learning and Planning

Yixuan Huang, Bowen Li, Vaibhav Saxena, Yichao Liang, Utkarsh Aashu Mishra, Liang Ji, Lihan Zha, Jimmy Wu, Nishanth Kumar, Sebastian Scherer, Danfei Xu, Tom Silver ยท 2026

Robotic systems that interact with the physical world must reason about kinematic and dynamic constraints imposed by their own embodiment, their environment, and the task at hand. We introduce KinDER,โ€ฆ

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Engineering Preprint PDF DOI

Complex-Vector Power and Cross-Phase Unbalance in Three-Phase Systems

Juan Carlos Bravo-Rodriguez, Juan Carlos del-Pino-Lopez, Francisco Casado-Machado ยท 2026

Unbalanced three-phase systems still lack a compact phasor-domain representation of power that makes phase asymmetry explicit while remaining consistent with established apparent-power definitions. Thโ€ฆ

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Engineering Preprint PDF DOI

Robust Graph Matching through Semantic Relationship Generation for SLAM

David Perez-Saura, Jose Andres Millan-Romera, Miguel Fernandez-Cortizas, Holger Voos, Pascual Campoy, Jose Luis Sanchez-Lopez ยท 2026

Graph-based representations such as Scene Graphs enable localization in structured indoor environments by matching a locally observed graph, constructed from sensor data, to a prior map. This process โ€ฆ

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Engineering Preprint PDF DOI

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution

Chuyao Fu, Shengzhe Gan, Zhuoli Ouyang, Yuhan Rui, Xiaowei Chi, Sirui Han, Jiankun Wang, Hong Zhang ยท 2026

End-to-end autonomous driving planners typically generate trajectories from current observations alone. However, real-world driving is highly dynamic, and such reactive planning cannot anticipate futuโ€ฆ

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Engineering Preprint PDF DOI

Weak-Fluctuation-Induced Clutter Covariance and Subspace Structure in Single-Snapshot FDA-MIMO GPR

Yisu Yan, Jifeng Guo ยท 2026

Weak constitutive fluctuations in dispersive subsurface media can induce distributed clutter that reshapes the observation structure of ground-penetrating radar (GPR). This paper analyzes this effect โ€ฆ

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Engineering Preprint PDF DOI

MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives

Tingwu Wang, Olivier Dionne, Michael De Ruyter, David Minor, Davis Rempe, Kaifeng Zhao, Mathis Petrovich, Ye Yuan, Chenran Li, Zhengyi Luo, Brian Robison, Xavier Blackwell, Bernardo Antoniazzi, Xue Bin Peng, Yuke Zhu, Simon Yuen ยท 2026

Despite transformative advances in generative motion synthesis, real-time interactive motion control remains dominated by traditional techniques. In this work, we identify two key challenges in bridgiโ€ฆ

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Engineering Preprint PDF DOI

Reduced-Order Data Assimilation for Thermospheric Density Using Physics-informed SINDyc Models

Sriram Narayanan, Daniele Sicoli, Piyush Mehta ยท 2026

Accurate estimation of thermospheric mass density is a prerequisite for orbit prediction and space situational awareness, where the upper atmosphere responds nonlinearly to solar and geomagnetic forciโ€ฆ

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Engineering Preprint PDF DOI

Comparative Evaluation of Modern Deep Learning Methodologies for Portfolio Optimization

Samuel Ozechi, Banjo Francis, Wisdom Yakanu, Joe Wayne Byers ยท 2026

This study proposes a portfolio optimization framework that integrates advanced deep learning architectures with traditional financial models to enhance risk-adjusted performance. Using historical datโ€ฆ

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Engineering Preprint PDF DOI

SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors

Wadhah Zai El Amri, Nicolas Navarro-Guerrero ยท 2026

Training machine learning models for robotic tactile sensing requires vast amounts of data, yet obtaining realistic interaction data remains a challenge due to physical complexity and variability. Simโ€ฆ

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Engineering Preprint PDF DOI

Supporting Family-School Partnerships with Robot-Facilitated Home-Based Activities

Michael F Xu, Qiyao Yang, Heather Kirkorian, Bilge Mutlu ยท 2026

Family-school partnerships (FSP) are critical to children's development, yet families often face barriers such as time constraints, fragmented communication, and limited opportunities for meaningful eโ€ฆ

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Engineering Preprint PDF DOI

Designing Robots to Support Parent-Child Connections: Opportunities Through Robot-Mediated Communication

Michael F Xu, Bengisu Cagiltay, Yaxin Hu, Anjun Zhu, Bilge Mutlu ยท 2026

The sense of family connectedness may support positive outcomes including individual well-being, resilience, and healthy family functioning. However, as technologies advance, they often replace human-โ€ฆ

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Engineering Preprint PDF DOI

Tube Diffusion Policy: Reactive Visual-Tactile Policy Learning for Contact-rich Manipulation

Teng Xue, Alberto Rigo, Bingjian Huang, Jiayi Shen, Zhengtong Xu, Nick Colonnese, Amirhossein H. Memar ยท 2026

Contact-rich manipulation is central to many everyday human activities, requiring continuous adaptation to contact uncertainty and external disturbances through multi-modal perception, particularly viโ€ฆ

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Engineering Preprint PDF DOI

Large Language Model based Interactive Decision-Making for Autonomous Driving

Xinwei Dong, Jiyang Li, Jiabin Xie, Yang Yi, Tianshang Jia, Shiyu Fang, Ye Tian, Peng Hang ยท 2026

In high-conflict mixed-traffic scenarios involving human-driven and autonomous vehicles, most existing autonomous driving systems default to overly conservative behaviors, lack proactive interaction, โ€ฆ

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Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley ยท 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to stโ€ฆ

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Engineering Preprint PDF DOI

An Algebraic State Observer for a Class of Physical Systems

Alexey Bobtsov, Jose Guadalupe Romero, Romeo Ortega, Anton Pyrkin ยท 2026

In this paper we present a radically new approach to design state observers for nonlinear systems, with particular emphasis on physical ones. Our objective is to obtain an algebraic relation between tโ€ฆ

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Engineering Preprint PDF DOI

Fixed-phase Resonance Tracking for Fast Nonlinear Resonant Ultrasound Spectroscopy

Jan Kober, Radovan Zeman, Marco Scalerandi ยท 2026

Nonlinear Resonant Ultrasound Spectroscopy (NRUS) experiments that rely on repeated sampling of resonance curves are inherently sensitive to measurement protocol due to evolution of material parameterโ€ฆ

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