Expertini Research Research

Browse Research Papers

881+ open-access research outputs.

โœ• Clear
๐Ÿ” j. pei ๐Ÿ“‚ Engineering
Showing 881 results for "j. pei" in Engineering
Engineering Preprint PDF DOI

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies

Xue Qin, Simin Luan, John See, Cong Yang, Zhijun Li ยท 2026

Skill libraries in deployed robotic systems are continually updated through fine-tuning, fresh demonstrations, or domain adaptation, yet existing typed-composition methods (BLADE, SymSkill, Generativeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

The role of physical models in the validation and calibration of numerical models -- The example of the Lilleb{\ae}lt Bridge

Paula Apollonia Wunderlich, Gledson Rodrigo Tondo, Guido Morgenthal ยท 2026

With the rapid advancement of computer technologies enabling fast calculations of complex structures, numerical methods have become a central tool in engineering sciences, while physical models have iโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Defining the Magnetization State of LCF Magnets: From Material Properties to Motor-Level Metrics

Taha El Hajji, Aleksandr Nadkin, Stefan Skoog, Lars Sjoberg, Kristoffer Nilsson, Anthony C. Morcos ยท 2026

Variable flux memory motors, which employ Low Coercive Force (LCF) magnets, achieve extended high-efficiency operation through controllable magnetization states. To address the need for a unified apprโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

CT-Guided Spatially-varying Regularization for Voxel-Wise Deformable Whole-Body PET Registration

Xiangcen Wu, Ruohua Chen, Sichun Li, Qianye Yang, Sheng Liu, Jianjun Liu, Zhaoheng Xie ยท 2026

Whole-body Positron Emission Tomography (PET) registration is essential for multi-parametric tumor characterization and assessment of metastatic disease progression. In deep learning-based deformable โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Generalizable CT-Free PET Attenuation and Scatter Correction for Pediatric Patients

Jia-Mian Wu, Jun Liu, Siqi Li, Xiaoya Wang, Shibai Yin, Huanyu Luo, Lingling Zheng, Qiang Gao, Jigang Yang, Tai-Xiang Jiang ยท 2026

Computed tomography (CT)-based attenuation and scatter correction improves quantitative PET but adds radiation exposure that is particularly undesirable in pediatric imaging. Existing CT-free methods โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Visual-Tactile Peg-in-Hole Assembly Learning from Peg-out-of-Hole Disassembly

Yongqiang Zhao, Xuyang Zhang, Zhuo Chen, Matteo Leonetti, Emmanouil Spyrakos-Papastavridis, Shan Luo ยท 2026

Peg-in-hole (PiH) assembly is a fundamental yet challenging robotic manipulation task. While reinforcement learning (RL) has shown promise in tackling such tasks, it requires extensive exploration. Inโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty

Hunter L. Brown, Geoffrey Hollinger, Stefan Lee ยท 2026

Reinforcement learning-based control policies have been frequently demonstrated to be more effective than analytical techniques for many manipulation tasks. Commonly, these methods learn neural controโ€ฆ

Read Paper โ†’
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

Read Paper โ†’
Engineering Preprint PDF DOI

Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning

Koki Yamane, Cristian C. Beltran-Hernandez, Steven Oh, Masashi Hamaya, Sho Sakaino ยท 2026

Fast execution of contact-rich manipulation is critical for practical deployment, yet providing fast demonstrations for imitation learning (IL) remains challenging: humans cannot demonstrate at high sโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

DTEA: A Dual-Topology Elastic Actuator Enabling Real-Time Switching Between Series and Parallel Compliance

Vishal Ramesh, Aman Singh, Shishir Kolathaya ยท 2026

Series and parallel elastic actuators offer complementary but mutually exclusive advantages, yet no existing actuator enables real-time transition between these topologies during operation. This paperโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Learning ultra-compressible hyperelasticity with splines: Constitutive asymmetries and non-unique representations

Miguel Angel Moreno-Mateos, Simon Wiesheier, Paul Steinmann, Ellen Kuhl ยท 2026

Highly compressible solids, such as foams, exhibit complex responses, including pronounced tension-compression asymmetry. Capturing such behaviors within unified hyperelastic frameworks remains challeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Case Study on Energy-Efficient Edge AI Crack Segmentation

Matthias Tschope, Mohamed Moursi, Vladimir Rybalkin, Bo Zhou, Norbert Wehn, Paul Lukowicz ยท 2026

Crack segmentation on edge devices can support continuous infrastructure monitoring and maintenance and thereby help to preserve public safety. Furthermore, autonomous infrastructure monitoring by usiโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Neural-Network Inversion for the Temporal CT Multi-Source Bundle Problem: Per-Bundle Statistical Limits and Near-Optimal Performance

Guy M. Besson ยท 2026

We study the nonlinear inverse problem arising in Temporal CT, a multi-source computed-tomography architecture in which NS = 3 simultaneously active X-ray sources produce M = 5 mixed Poisson intensityโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

BVH-Accelerated Ray Tracing for High-Frequency Electromagnetic Backscattering

Marco Pasquale, Andong Hu, Luca Pennati, Ivy Peng, Stefano Markidis ยท 2026

As computational complexity in electromagnetics increases with frequency, full-wave solvers become computationally infeasible for electrically large problems. To address this limitation, we present a โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

$\phi-$DeepONet: A Discontinuity Capturing Neural Operator

Sumanta Roy, Stephen T. Castonguay, Pratanu Roy, Michael D. Shields ยท 2026

We present $\phi-$DeepONet, a physics-informed neural operator designed to learn mappings between function spaces that may contain discontinuities or exhibit non-smooth behavior. Classical neural operโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Learning-Based Strategy for Composite Robot Assembly Skill Adaptation

Khalil Abuibaid, Aleksandr Sidorenko, Achim Wagner, Martin Ruskowski ยท 2026

Contact-rich robotic skills remain challenging for industrial robots due to tight geometric tolerances, frictional variability, and uncertain contact dynamics, particularly when using position-controlโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Sustainable Transfer Learning for Adaptive Robot Skills

Khalil Abuibaid, Vinit Hegiste, Nigora Gafur, Achim Wagner, Martin Ruskowski ยท 2026

Learning robot skills from scratch is often time-consuming, while reusing data promotes sustainability and improves sample efficiency. This study investigates policy transfer across different robotic โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

MIMO Capacity Enhancement by Grating Walls: A Physics-Based Proof of Principle

Xiaolu Yang, Oscar Cespedes Vicente, Christophe Caloz ยท 2026

This paper investigates the passive enhancement of MIMO spectral efficiency through boundary engineering in a simplified two dimensional indoor proof of principle model. The propagation channel is conโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Distributed SOS Program For Local Stability Analysis of Polynomial PDEs in the PIE Representation

Carl R Richardson, Declan S Jagt, Matthew M Peet, Antonis Papachristodoulou ยท 2026

It has recently been shown that the evolution of a state, described by a Partial Differential Equation (PDE), can be more conveniently represented as the evolution of the state's highest spatial derivโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Homogenization of HTS coils with the h, h-phi, and t-omega foil conductor model

Elias Paakkunainen, Louis Denis, Benoit Vanderheyden, Christophe Geuzaine, Paavo Rasilo, Sebastian Schops ยท 2026

Efficient numerical models are required for the design of systems with high temperature superconductor (HTS) coils, as fully resolved finite element simulations of individual coated conductors become โ€ฆ

Read Paper โ†’
Page 1 of 45 Next โ†’