Expertini Research Research

Browse Research Papers

138+ open-access research outputs.

โœ• Clear
๐Ÿ” m.a. schmitz ๐Ÿ“‚ Engineering
Showing 138 results for "m.a. schmitz" in Engineering
Engineering Preprint PDF DOI

Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet

Mohammad Ali Vahedifar, Mojtaba Nazari, Qi Zhang ยท 2026

The Tactile Internet demands sub-millisecond latency and ultra-high reliability, as high latency or packet loss could lead to haptic control instability. To address this, we propose the Mode-Domain Arโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Vision-Based Robotic Disassembly Combined with Real-Time MFA Data Acquisition

Federico Zocco, Maria Pozzi, Monica Malvezzi ยท 2026

Stable and reliable supplies of rare-Earth minerals and critical raw materials (CRMs) are essential for the development of the European Union. Since a large share of these materials enters the Union fโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Movable-Antenna Index Modulation (MA-IM): System Framework and Performance Analysis

Bang Huang, Shunyuan Shang, Mohamed-Slim Alouini ยท 2026

This paper proposes a movable-antenna-based index modulation (MA-IM) framework that exploits the spatial mobility of a single reconfigurable antenna to create additional information-bearing dimensionsโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

MA-VLCM: A Vision Language Critic Model for Value Estimation of Policies in Multi-Agent Team Settings

Shahil Shaik, Aditya Parameshwaran, Anshul Nayak, Jonathon M. Smereka, Yue Wang ยท 2026

Multi-agent reinforcement learning (MARL) commonly relies on a centralized critic to estimate the value function. However, learning such a critic from scratch is highly sample-inefficient and often laโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

MSA - Technique for Stiffness Modeling of Manipulators with Complex and Hybrid Structures

Alexandr Klimchik, Anatol Pashkevich (LS2N - equipe ReV, IMT Atlantique - DAPI, LS2N), Damien Chablat (LS2N - equipe ReV, LS2N) ยท 2025

The paper presents a systematic approach for stiffness modeling of manipulators with complex and hybrid structures using matrix structural analysis. In contrast to previous results, it is suitable forโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

MA-SLAM: Active SLAM in Large-Scale Unknown Environment using Map Aware Deep Reinforcement Learning

Yizhen Yin, Yuhua Qi, Dapeng Feng, Hongbo Chen, Hongjun Ma, Jin Wu, Yi Jiang ยท 2025

Active Simultaneous Localization and Mapping (Active SLAM) involves the strategic planning and precise control of a robotic system's movement in order to construct a highly accurate and comprehensive โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

PGD-TO: A Scalable Alternative to MMA Using Projected Gradient Descent for Multi-Constraint Topology Optimization

Amin Heyrani Nobari, Faez Ahmed ยท 2025

Projected Gradient Descent (PGD) methods offer a simple and scalable approach to topology optimization (TO), yet they often struggle with nonlinear and multi-constraint problems due to the complexity โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Green Emergency Communications in RIS- and MA-Assisted Multi-UAV SAGINs: A Partially Observable Reinforcement Learning Approach

Liangshun Wu, Wen Chen, Shunqing Zhang, Yajun Wang, Kunlun Wang ยท 2025

In post-disaster space-air-ground integrated networks (SAGINs), terrestrial infrastructure is often impaired, and unmanned aerial vehicles (UAVs) must rapidly restore connectivity for mission-criticalโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

LODESTAR: Degeneracy-Aware LiDAR-Inertial Odometry with Adaptive Schmidt-Kalman Filter and Data Exploitation

Eungchang Mason Lee, Kevin Christiansen Marsim, Hyun Myung ยท 2025

LiDAR-inertial odometry (LIO) has been widely used in robotics due to its high accuracy. However, its performance degrades in degenerate environments, such as long corridors and high-altitude flights,โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Technical Report for Dissipativity Learning in Reproducing Kernel Hilbert Space

Xiuzhen Ye, Wentao Tang ยท 2025

This work presents a nonparametric framework for dissipativity learning in reproducing kernel Hilbert spaces, which enables data-driven certification of stability and performance properties for unknowโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Bounds of Validity for Bifurcations of Equilibria in a Class of Networked Dynamical Systems

Pranav Gupta, Ravi Banavar, Anastasia Bizyaeva ยท 2025

Local bifurcation analysis plays a central role in understanding qualitative transitions in networked nonlinear dynamical systems, including dynamic neural network and opinion dynamics models. In thisโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

MPA-DNN: Projection-Aware Unsupervised Learning for Multi-period DC-OPF

Yeomoon Kim, Minsoo Kim, Jip Kim ยท 2025

Ensuring both feasibility and efficiency in optimal power flow (OPF) operations has become increasingly important in modern power systems with high penetrations of renewable energy and energy storage.โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Enhancing Speaker Verification with w2v-BERT 2.0 and Knowledge Distillation guided Structured Pruning

Ze Li, Ming Cheng, Ming Li ยท 2025

Large-scale self-supervised Pre-Trained Models (PTMs) have shown significant improvements in the speaker verification (SV) task by providing rich feature representations. In this paper, we utilize w2vโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Reducing Discomfort in Driving Simulators: Motion Cueing for Motion Sickness Mitigation

Varun Kotian, Riender Happee, Barys Shyrokau ยท 2025

Driving simulators are increasingly used in research and development. However, simulators often cause motion sickness due to downscaled motion and unscaled veridical visuals. In this paper, a motion cโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation

Zhuoyang Liu, Jiaming Liu, Jiadong Xu, Nuowei Han, Chenyang Gu, Hao Chen, Kaichen Zhou, Renrui Zhang, Kai Chin Hsieh, Kun Wu, Zhengping Che, Jian Tang, Shanghang Zhang ยท 2025

Vision-language-action models (VLAs) have shown generalization capabilities in robotic manipulation tasks by inheriting from vision-language models (VLMs) and learning action generation. Most VLA modeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

BFA: Real-time Multilingual Text-to-speech Forced Alignment

Abdul Rehman, Jingyao Cai, Jian-Jun Zhang, Xiaosong Yang ยท 2025

We present Bournemouth Forced Aligner (BFA), a system that combines a Contextless Universal Phoneme Encoder (CUPE) with a connectionist temporal classification (CTC)based decoder. BFA introduces expliโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates

Babak Esmaeili, Hamidreza Modares ยท 2025

This paper proposes a fully data-driven motion-planning framework for homogeneous linear multi-agent systems that operate in shared, obstacle-filled workspaces without access to explicit system modelsโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Multi-Group Equivariant Augmentation for Reinforcement Learning in Robot Manipulation

Hongbin Lin, Juan Rojas, Kwok Wai Samuel Au ยท 2025

Sampling efficiency is critical for deploying visuomotor learning in real-world robotic manipulation. While task symmetry has emerged as a promising inductive bias to improve efficiency, most prior woโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Robust Online Calibration for UWB-Aided Visual-Inertial Navigation with Bias Correction

Yizhi Zhou, Jie Xu, Jiawei Xia, Zechen Hu, Weizi Li, Xuan Wang ยท 2025

This paper presents a novel robust online calibration framework for Ultra-Wideband (UWB) anchors in UWB-aided Visual-Inertial Navigation Systems (VINS). Accurate anchor positioning, a process known asโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Dual-Alignment Knowledge Retention for Continual Medical Image Segmentation

Yuxin Ye, Yan Liu, Shujian Yu ยท 2025

Continual learning in medical image segmentation involves sequential data acquisition across diverse domains (e.g., clinical sites), where task interference between past and current domains often leadโ€ฆ

Read Paper โ†’
Page 1 of 7 Next โ†’