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Showing 8492 results for "artificial intelligence" in Engineering
Engineering Preprint PDF DOI

VTouch++: A Multimodal Dataset with Vision-Based Tactile Enhancement for Bimanual Manipulation

Qianxi Hua, Xinyue Li, Zheng Yan, Yang Li, Chi Zhang, Yongyao Li, Yufei Liu ยท 2026

Embodied intelligence has advanced rapidly in recent years; however, bimanual manipulation-especially in contact-rich tasks remains challenging. This is largely due to the lack of datasets with rich pโ€ฆ

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A Vision-Language-Action Model for Adaptive Ultrasound-Guided Needle Insertion and Needle Tracking

Yuelin Zhang, Qingpeng Ding, Longxiang Tang, Chengyu Fang, Shing Shin Cheng ยท 2026

Ultrasound (US)-guided needle insertion is a critical yet challenging procedure due to dynamic imaging conditions and difficulties in needle visualization. Many methods have been proposed for automateโ€ฆ

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Engineering Preprint PDF DOI

Predicting food taste with bound-driven optimization

Pagkratis Tagkopoulos, Dimitris Sfondilis, Ilias Tagkopoulos, Tarek Zohdi ยท 2026

The prediction of sensory attributes from ingredient-level formulations is an emerging challenge at the intersection of food science and artificial intelligence. We address the fundamental question ofโ€ฆ

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Engineering Preprint PDF DOI

Towards Reproducible Test Annotation for Cyber-Physical Energy Systems using Ontology-driven Dataspaces

Kai Heussen, Jawad Kazmi, Narges Mehran, Artjoms Obushevs, Terence O'Donnell, Thomas I. Strasser ยท 2026

Reproducibility, traceability, and transparency in testing cyber-physical energy systems are crucial for scientific advancement and cross-laboratory collaboration. Current experimentation and test docโ€ฆ

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Engineering Preprint PDF DOI

Blockage-Aware and Shadowing Aware RIS Assisted Joint Communication and Positioning for Urban Non Terrestrial Networks

Muhammad Khalil, Ke Wang, Jinho Choi ยท 2026

Reconfigurable intelligent surfaces (RISs) have recently attracted interest for non-terrestrial networks (NTNs), especially for improving satellite communication performance. However, RIS-assisted urbโ€ฆ

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Engineering Preprint PDF DOI

An Implicit Compact-Kernel Material Point Method for Computational Solid Mechanics

Qirui Fu, Yupeng Jiang, Minchen Li ยท 2026

The numerical performance of the material point method (MPM) is strongly governed by the particle-grid kernel, which controls the trade-off among smoothness, locality, numerical diffusion, contact accโ€ฆ

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Engineering Preprint PDF DOI

Multi-Target Estimation via Tensor Decomposition for Beyond Diagonal RIS-Aided Bistatic Sensing

Kenneth Benicio, Andre L. F. de Almeida, Fazal-E Asim, Bruno Sokal, Gabor Fodor, Behrooz Makki, A. Lee Swindlehurst ยท 2026

We investigate the performance of beyond-diagonal reconfigurable intelligent surfaces (BD-RIS) for bistatic MIMO multi-target sensing using a two-stage tensor Doppler-delay-angle estimation (TenDAE). โ€ฆ

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Engineering Preprint PDF DOI

EmbodiedLGR: Integrating Lightweight Graph Representation and Retrieval for Semantic-Spatial Memory in Robotic Agents

Paolo Riva, Leonardo Gargani, Matteo Frosi, Matteo Matteucci ยท 2026

As the world of agentic artificial intelligence applied to robotics evolves, the need for agents capable of building and retrieving memories and observations efficiently is increasing. Robots operatinโ€ฆ

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Engineering Preprint PDF DOI

Passive RIS Is Not Silent: Revisiting Performance Limits Under Thermal Noise

Farjam Karim, Deepak Kumar, Prathapasinghe Dharmawansa, Nurul Huda Mahmood, Arthur Sousa de Sena, Matti-Latva-aho ยท 2026

Reconfigurable intelligent surfaces (RISs) have emerged as a promising solution for enabling energy-efficient and flexible spectrum usage in wireless communication, particularly in the context of sixtโ€ฆ

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Engineering Preprint PDF DOI

Semi-Blind Receivers for RIS-Aided Fluid Antenna Systems

Josue V. de Araujo, Gilderlan T. de Araujo, Andre L. F. de Almeida ยท 2026

Reconfigurable intelligent surfaces (RISs) and fluid antennas (FAs) are key technologies for enhancing spatial degrees of freedom in future wireless networks. However, channel acquisition in RIS-aidedโ€ฆ

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Engineering Preprint PDF DOI

Paradigm Shift from Statistical Channel Modeling to Digital Twin Prediction: An Environment-Generalizable ChannelLM for 6G AI-enabled Air Interface

Yichen Cai, Yuelong Qiu, Jianhua Zhang, Li Yu, Yuxiang Zhang, Zhen Zhang, Guangyi Liu ยท 2026

As 6G advances, ubiquitous connectivity and higher capacity requirements of the air interface pose substantial challenges for accurate and real-time wireless channel acquisition in diverse environmentโ€ฆ

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Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models

Haiweng Xu, Sipeng Zheng, Hao Luo, Wanpeng Zhang, Ziheng Xi, Zongqing Lu ยท 2026

Recent Vision-Language-Action (VLA) models report impressive success rates on standard robotic benchmarks, fueling optimism about general-purpose physical intelligence. However, recent evidence suggesโ€ฆ

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A Novel CSI-RS Reporting Scheme for RIS Optimization in O-RAN-based NextG Networks

Ali Fuat Sahin, Sefa Kayraklik, Ali Gorcin, Ibrahim Hokelek, Ertugrul Basar, Halim Yanikomeroglu ยท 2026

Reconfigurable intelligent surface (RIS) technology is a promising enabler for next-generation (NextG) wireless systems, capable of dynamically shaping the propagation environment. Integrating RIS witโ€ฆ

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Engineering Preprint PDF DOI

Ray Tracing-Enabled Digital Twin for RIS Phase Optimization: Implementation and Experimental Validation

Omer Lutfu Karakelle, Sefa Kayrakl{i}k, Ibrahim Hokelek, Ali Gorcin, Halim Yan{i}komeroglu ยท 2026

Determining the optimal phase configurations of reconfigurable intelligent surface (RIS) elements typically requires complex channel estimation procedures with high pilot overhead, creating a bottleneโ€ฆ

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Engineering Preprint PDF DOI

StableIDM: Stabilizing Inverse Dynamics Model against Manipulator Truncation via Spatio-Temporal Refinement

Kerui Li, Zhe Jing, Xiaofeng Wang, Zheng Zhu, Yukun Zhou, Guan Huang, Dongze Li, Qingkai Yang, Huaibo Huang ยท 2026

Inverse Dynamics Models (IDMs) map visual observations to low-level action commands, serving as central components for data labeling and policy execution in embodied AI. However, their performance degโ€ฆ

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Engineering Preprint PDF DOI

Low-Complexity Learning-Based Beamforming for Ultra-Massive MIMO THz Communications

Sourabh Solanki, Abuzar Babikir Mohammad Adam, Chandan Kumar Sheemar, Zaid Abdullah, Eva Lagunas, George C. Alexandropoulos, Symeon Chatzinotas ยท 2026

Terahertz (THz) communications have emerged as a key technology for escalating data rates in future generation wireless networks. However, severe propagation losses at THz frequencies pose significantโ€ฆ

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Movable-Antenna Enabled Robust Vehicular Consumer Networks Under Imperfect CSI

Xuhui Zhang, Chunjie Wang, Wenchao Liu, Huijun Xing, Jinke Ren, Zheng Xing, Yanyan Shen ยท 2026

The accelerating advancement of intelligent transportation systems has established consumer-oriented vehicular networks (CVNs) as a critical infrastructure for next-generation connected mobility. Howeโ€ฆ

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Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces

Noha Hassan, Xavier Fernando, Halim Yanikomeroglu ยท 2026

Reconfigurable intelligent surfaces (RISs) modify signal reflections to enhance wireless communication capabilities. Classical RIS phase optimization is highly non convex and challenging in dynamic enโ€ฆ

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Engineering Preprint PDF DOI

RIS-Assisted Cell-Free Massive MIMO: RIS-MS Selection in FR1 and FR3

Alejandro de la Fuente, Fernando Galindo, Uriel Garcia-Barbulo, Sandra-Noemy Arana-Alegre, Jan Garcia-Morales ยท 2026

This paper explores the integration of reconfigurable intelligent surfaces (RISs) into cell-free massive multiple-input-multiple-output (CF-mMIMO) networks operating in FR1 and FR3 frequency bands. Weโ€ฆ

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Engineering Preprint PDF DOI

Novel Algorithms for Smoothly Differentiable and Efficiently Vectorizable Contact Manifold Construction

Onur Beker, Andreas Rene Geist, Anselm Paulus, Georg Martius ยท 2026

Generating intelligent robot behavior in contact-rich settings is a research problem where zeroth-order methods currently prevail. Developing methods that make use of first/second order information abโ€ฆ

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