Expertini Research Research

Browse Research Papers

19,069+ open-access research outputs.

โœ• Clear
๐Ÿ” francis bach ๐Ÿ“‚ Engineering
Showing 19069 results for "francis bach" in Engineering
Engineering Preprint PDF DOI

OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction

Junyoung Lee, Sookwan Han, Jeonghwan Kim, Inhee Lee, Mingi Choi, Jisoo Kim, Wonjung Woo, Hanbyul Joo ยท 2026

Human-robot collaboration has been studied primarily in dyadic or sequential settings. However, real homes require multiadic collaboration, where multiple humans and robots share a workspace, acting cโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Bitwise Over-Parameterized Neural Polar Decoding: A Theoretical Performance Analysis

Hongzhi Zhu, Wei Xu, Xiaohu You ยท 2026

This paper proposes a bitwise over-parameterized neural network (ONN) decoder for polar-coded transmission and develops a tractable theoretical performance analysis framework. By modeling each synthesโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?

Buqing Ou, Frederike Dumbgen ยท 2026

Policy optimization in high-dimensional continuous control for robotics remains a challenging problem. Predominant methods are inherently local and often require extensive tuning and carefully chosen โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation

Jihoon Lee, Seungeun Oh, Jihong Park, Seong-Lyun Kim, Seung-Woo Ko ยท 2026

Despite the rise of token communication (TokCom) as a new paradigm beyond traditional bit communication, existing approaches have primarily adopted artificial intelligence (AI)-centric designs that reโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Joint Secrecy and Covert Communication (JSACC): An Enhanced Physical Layer Security Approach

Yanyu Cheng, Haitao Du, Liqin Hu, Wei Yang Bryan Lim, Pan Li ยท 2026

In this paper, we propose an enhanced physical layer security approach, named joint secrecy and covert communication (JSACC), which aims to improve the performance of physical layer security (PLS). Thโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity

Erik Faust, Lisa Scheunemann ยท 2026

In this article, we propose a simple and efficient hyperreduced strain-space model order reduction (MOR) approach for hyperelastic representative volume elements (RVEs), called Empirical Material Sampโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Two Stage Pipeline for Left Atrial Wall Constrained Scar Segmentation and Localization from LGE-MR Images

Bipasha Kundu, Cristian Linte ยท 2026

Accurate segmentation and localization of left atrial (LA) ablation scars from Late gadolinium enhancement (LGE)-MRI is essential for assessing the lesion completeness and guiding ablation therapy. Inโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Stochastic Entanglement of Deterministic Origami Tentacles For Universal Robotic Gripping

Alec Boron, Bokun Zheng, Ziyang Zhou, Noel Naughton, Suyi Li ยท 2026

Origami-inspired robotic grippers have shown promising potential for object manipulation tasks due to their compact volume and mechanical flexibility. However, robust capture of objects with random shโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Pinching Antenna-Aided Spatial Multiplexing: Transceiver Design and Performance Analysis

Ruijie Li, Yue Xiao, Shuaixin Yang, Gang Wu, Xianfu Lei, Ming Xiao ยท 2026

In this paper, a novel pinching antenna-aided spatial multiplexing (PASM) architecture is conceived, which intrinsically amalgamates the benefits of flexible radiating element placement with radio-freโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Exploring Converter Control Duality in Microgrids: AC Grid-Forming vs DC Droop Control

Jovan Krajacic, Ognjen Stanojev, Mario Schweizer, Orcun Karaca, Gabriela Hug, Vladan Lazarevic ยท 2026

Power electronic converters are fundamental building blocks of both AC and DC microgrids, enabling the integration of renewable energy sources, energy storage systems, electronic loads, and electric vโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models

Seongmin Kim, Daegyu Lee ยท 2026

Deploying a neuro-symbolic task planner on a new domain today requires significant manual effort: a domain expert must author relaxation and complementary rules, and hundreds of training problems mustโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Reactive Motion Generation via Phase-varying Neural Potential Functions

Ahmet Tekden, Dimitrios Kanoulas, Aude Billard, Yasemin Bekiroglu ยท 2026

Dynamical systems (DS) methods for Learning-from-Demonstration (LfD) provide stable, continuous policies from few demonstrations. First-order dynamical systems (DS) are effective for many point-to-poiโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

CONCERTO : Optimization of readout electronics

Mounir Abdkrimi (NEEL - MagSup), Olivier Rossetto (LPSC), Olivier Bourrion (LPSC), Christophe Hoarau (LPSC), Christophe Vescovi (LPSC) ยท 2026

The CONCERTO millimeter-wave spectral-imaging instrument was deployed on the Atacama Pathfinder EXperiment (APEX), where it acquired science data between April 2021 and May 2023. The instrument featurโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Novel Reinforcement Learning Based Framework for Scalable MIMO Interference Alignment

Samitha Gunarathne, Eslam Eldeeb, Nurul Huda Mahmood, Italo Atzeni ยท 2026

Interference alignment (IA) is a widely recognized approach for mitigating inter-cell interference in multi-user multiple-input multiple-output (MIMO) networks. Despite its effectiveness, practical deโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Comparative study on THz Communication Systems: Photonics versus Electronics Approaches

Talha Rahman, Murat Uysal ยท 2026

Terahertz (THz) communication has emerged as a key enabler for sixth-generation (6G) networks, offering ultrawide bandwidths to support data-intensive applications such as holographic telepresence andโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Blind OFDM-ISAC Relying on Asymmetric Modem Constellations

Henglin Pu, Ahmad Musallam, Husheng Li, Lajos Hanzo ยท 2026

Integrated sensing and communication (ISAC) is increasingly expected to operate under aggressive spectrum reuse, where co-channel orthogonal frequency division multiplexing (OFDM) interference can be โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control

Ankur Kamboj, Biswadip Dey, Vaibhav Srivastava ยท 2026

We develop a physics-informed learning framework for energy-shaping control of port-Hamiltonian (pH) systems from trajectory data. The proposed approach {co-learns} a pH system model and an optimal enโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

FlowS: One-Step Motion Prediction via Local Transport Conditioning

Leandro Di Bella, Adrian Munteanu, Bruno Cornelis ยท 2026

Generative motion prediction must satisfy three simultaneous requirements for real-world autonomy: high accuracy, diverse multimodal futures, and strictly bounded latency. Diffusion models meet the fiโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection

Jaskirat Sudan, Hashim Ali, Surya Subramani, Hafiz Malik ยท 2026

Supervised contrastive learning (SupCon) is widely used to shape representations, but has seen limited targeted study for audio deepfake detection. Existing work typically combines contrastive terms wโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

SpecFed: Accelerating Federated LLM Inference with Speculative Decoding and Compressed Transmission

Ce Zheng, Xinghan Wang, Jiahong Ning, Yuxuan Shi, Ning Huang, Tingting Yang ยท 2026

Federated inference enhances LLM performance in edge computing through weighted averaging of distributed model predictions. However, autoregressive LLM inference requires frequent full-model forward pโ€ฆ

Read Paper โ†’
Page 1 of 954 Next โ†’