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๐Ÿ” gauri datar ๐Ÿ“‚ Engineering
Showing 39760 results for "gauri datar" in Engineering
Engineering Preprint PDF DOI

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Daniel Waxman, Fernando Llorente, Petar M. Djuric ยท 2026

The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. ML models support theโ€ฆ

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RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects

Tim Missal, Lucas Domingues, Berk Guler, Simon Manschitz, Jan Peters, Paula Dornhofer Paro Costa ยท 2026

The robotic manipulation of Deformable Linear Objects (DLOs) is a fundamental challenge due to the high-dimensional, non-linear dynamics of flexible structures and the complexity of maintaining topoloโ€ฆ

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Engineering Preprint PDF DOI

FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems

Binghao Huang, Yunzhu Li ยท 2026

We present FlexiTac, a low-cost, open-source, and scalable piezoresistive tactile sensing solution designed for robotic end-effectors. FlexiTac is a practical "plug-in" module consisting of (i) thin, โ€ฆ

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Engineering Preprint PDF DOI

GSDrive: Reinforcing Driving Policies by Multi-mode Trajectory Probing with 3D Gaussian Splatting Environment

Ziang Guo, Min Chen, Xuefeng Zhang, Yixiao Zhou, Zufeng Zhang, Dzmitry Tsetserukou ยท 2026

End-to-end (E2E) autonomous driving presents a promising approach for translating perceptual inputs directly into driving actions. However, prohibitive annotation costs and temporal data quality degraโ€ฆ

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Engineering Preprint PDF DOI

LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni ยท 2026

Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous systems. This paper โ€ฆ

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Engineering Preprint PDF DOI

Flying by Inference: Active Inference World Models for Adaptive UAV Swarms

Kaleem Arshid, Ali Krayani, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni ยท 2026

This paper presents an expert-guided active-inference-inspired framework for adaptive UAV swarm trajectory planning. The proposed method converts multi-UAV trajectory design from a repeated combinatorโ€ฆ

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Engineering Preprint PDF DOI

Learning-Based Hierarchical Scene Graph Matching for Robot Localization Leveraging Prior Maps

Nimrod Millenium Ndulue, Jose Andres Millan-Romera, Matteo Giorgi, Holger Voos, Jose Luis Sanchez-Lopez ยท 2026

Accurate localization is a fundamental requirement for autonomous robots operating in indoor environments. Scene graphs encode the spatial structure of an environment as a hierarchy of semantic entitiโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Anomaly Detection for Bullion Coin Authentication Leveraging Acoustic Signature Analysis

Krzysztof Siwek, Tran Hoai Linh, Tomasz Gryczka, Maciej Stodolski ยท 2026

The verification of bullion coin authenticity is essential for maintaining integrity within the precious metals market; however, the increasing sophistication of counterfeits has rendered traditional โ€ฆ

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Engineering Preprint PDF DOI

MotuBrain: An Advanced World Action Model for Robot Control

MotuBrain Team, Chendong Xiang, Fan Bao, Haitian Liu, Hengkai Tan, Hongzhe Bi, James Li, Jiabao Liu, Jingrui Pang, Kiro Jing, Louis Liu, Mengchen Cai, Rongxu Cui, Ruowen Zhao, Runqing Wang, Shuhe Huang, Yao Feng, Yinze Rong, Zeyuan Wang, Jun Zhu ยท 2026

Vision-Language-Action (VLA) models achieve strong semantic generalization but often lack fine-grained modeling of world dynamics. Recent work explores video generation models as a foundation for worlโ€ฆ

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Engineering Preprint PDF DOI

On the Fractional Fourier Transform for FMCW Radar Interference Mitigation

Christian Oswald, Josef Kulmer, Franz Pernkopf ยท 2026

In this paper, we extend our method [1] for FMCW radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform (DFrFT). Firstly, we propose a radar signal processing chaโ€ฆ

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Engineering Preprint PDF DOI

Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles

Iqra Aslam, Nour Habib, Abhishek Buragohain, Meng Zhang, Andreas Rausch, Vaibhav Tiwari, Mohamed Benchat ยท 2026

The advancement of automated vehicles introduces complex safety challenges, particularly in dynamic and unpredictable environments where AI-enabled perception systems must operate reliably. Ensuring cโ€ฆ

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Engineering Preprint PDF DOI

ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control

Yanghao Zhou, Jingyu Ma, Yibo Peng, Zhenguo Sun, Yu Bai, Borje F. Karlsson ยท 2026

Humanoid control systems have made significant progress in recent years, yet modeling fluent interaction-rich behavior between a robot, its surrounding environment, and task-relevant objects remains aโ€ฆ

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Engineering Preprint PDF DOI

Sensing-Assisted Channel Estimation for Flexible-Antenna Systems: A Unified Framework

Ruoxiao Cao, Wentao Yu, Zixin Wang, Shenghui Song, Jun Zhang, Yi Gong, Khaled B. Letaief ยท 2026

Flexible-antenna systems, which use a small number of radio frequency (RF) chains to dynamically access a large set of candidate antenna locations, have emerged as a hardware-efficient architecture foโ€ฆ

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Engineering Preprint PDF DOI

Robot Learning from Human Videos: A Survey

Junyi Ma, Erhang Zhang, Haoran Yang, Ditao Li, Chenyang Xu, Guangming Wang, Hesheng Wang ยท 2026

A critical bottleneck hindering further advancement in embodied AI and robotics is the challenge of scaling robot data. To address this, the field of learning robot manipulation skills from human videโ€ฆ

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Engineering Preprint PDF DOI

Stability Analysis and Data-Driven State Estimation for Generalized Persidskii Systems with Time Delays: Theory and Experimental Validation on PMSM Drives

Syed Pouladi ยท 2026

This paper addresses the stability analysis and state estimation of generalized Persidskii systems subject to time-varying delays and external disturbances. The generalized Persidskii class, which couโ€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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A Knowledge-Driven Approach to Target Speech Extraction in the Presence of Background Sound Effects for Cinematic Audio Source Separation (CASS)

Chun-wei Ho, Sabato Marco Siniscalchi, Kai Li, Chin-Hui Lee ยท 2026

We propose a knowledge-driven approach to speech target extraction in the presence of background sound effects already recorded in cinematic audio. The specific knowledge sources studied are manners oโ€ฆ

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Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution

Tengya Zhang, Feng Gao, Lin Qi, Junyu Dong, Qian Du ยท 2026

Hyperspectral image super-resolution is essential for enhancing the spatial fidelity of HSI data, yet existing deep learning methods often struggle with substantial spectral redundancy and the limitedโ€ฆ

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Engineering Preprint PDF DOI

Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification

Chuanzheng Gong, Feng Gao, Junyan Lin, Junyu Dong, Qian Du ยท 2026

Hyperspectral image (HSI) and SAR/LiDAR data offer complementary spectral and structural information for land-cover classification. However, their effective fusion remains challenging due to two majorโ€ฆ

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