Expertini Research Research

Browse Research Papers

38,789+ open-access research outputs.

โœ• Clear
๐Ÿ” computer simulation ๐Ÿ“‚ Engineering
Showing 38789 results for "computer simulation" in Engineering
Engineering Preprint PDF DOI

Habitat-GS: A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting

Ziyuan Xia, Jingyi Xu, Chong Cui, Yuanhong Yu, Jiazhao Zhang, Qingsong Yan, Tao Ni, Junbo Chen, Xiaowei Zhou, Hujun Bao, Ruizhen Hu, Sida Peng ยท 2026

Training embodied AI agents depends critically on the visual fidelity of simulation environments and the ability to model dynamic humans. Current simulators rely on mesh-based rasterization with limitโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Joint Activity Detection and Channel Estimation for Massive Random Access Using SBL and SCA

Esa Ollila, Majdoddin Esfandiari, Daniel P. Palomar ยท 2026

In massive machine-type communication (mMTC) applications, a key challenge is joint device activity detection and channel estimation (JADCE) under grant-free random access, as a massive number of deviโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Situation-Aware Feedback-Predictive Control Framework for Lane-Less Dense Traffic

Parthib Khound, Debraj Chakraborty ยท 2026

Navigating dense, lane-less traffic remains one of the most challenging scenarios for autonomous vehicles, especially in emerging regions where road structure and driver behavior are highly unpredictaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Distributionally Robust Stochastic MPC under Disturbance-Affine Feedback Policies

Xu Chen, Lorenz Dorschel ยท 2026

This study addresses the stochastic Model Predictive Control (MPC) problem for linear time-invariant systems subjected to unknown disturbance distributions. By leveraging the most recent disturbance dโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Goal-oriented safe active learning for predictive control using Bayesian recurrent neural networks

Laura Boca de Giuli, Alessio La Bella, Manish Prajapat, Johannes Kohler, Anna Scampicchio, Riccardo Scattolini, Melanie Zeilinger ยท 2026

A key challenge in learning-based model predictive control (MPC) is to collect informative data online for model adaptation while ensuring safety and without penalising control performance. In this paโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Whole-Body Mobile Manipulation using Offline Reinforcement Learning on Sub-optimal Controllers

Snehal Jauhri, Vignesh Prasad, Georgia Chalvatzaki ยท 2026

Mobile Manipulation (MoMa) of articulated objects, such as opening doors, drawers, and cupboards, demands simultaneous, whole-body coordination between a robot's base and arms. Classical whole-body coโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Data-driven Learning of LPV Surrogate Models of Fuel Sloshing

E. Javier Olucha, Valentin Preda, Amritam Das, Roland Toth ยท 2026

This paper aims to enhance the efficiency of validation and verification campaigns involving fuel sloshing phenomena. Our first contribution is the development of an open-source, high-fidelity and comโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Sky-Ear: An Unmanned Aerial Vehicle-Enabled Victim Sound Detection and Localization System

Yi Hong, Mingyang Wang, Yalin Liu, Yaru Fu, Kevin Hung ยท 2026

Unmanned Aerial Vehicles (UAVs) are increasingly deployed in search-and-rescue (SAR) missions, yet continuous and reliable victim detection and localization remain challenging due to on-board hardwareโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Joint Trajectory and Resource Optimization for Aerial RIS-assisted Integrated TNT Networks

Vangara Saiprudhvi, Sandeep Singh, Keshav Singh, Hariharan Subramaniyam, Chih-Peng Li ยท 2026

Integrated terrestrial and non-terrestrial networks (ITNTNs) are regarded as a key architectural paradigm for sixth-generation (6G) wireless systems. This paper investigates a dual-aerial reconfigurabโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Asymptotically Stable Gait Generation and Instantaneous Walkability Determination for Planar Almost Linear Biped with Knees

Fumihiko Asano, Ning Lei, Taiki Sedoguchi ยท 2026

A class of planar bipedal robots with unique mechanical properties has been proposed, where all links are balanced around the hip joint, preventing natural swinging motion due to gravity. A common proโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Joint Trajectory and Resource Optimization for Dual-aerial ARIS-assisted NOMA-TNT Networks

Vangara Saiprudhvi, Keshav Singh, Hariharan Subramaniyam, Chih-Peng Li ยท 2026

Integrated terrestrial and non-terrestrial networks (ITNTNs) are envisioned as a key paradigm for sixth-generation (6G) wireless systems, enabling seamless global connectivity. In this paper, we invesโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Secrecy Performance Analysis of Pinching-Antenna Systems Under Pinching-Position Uncertainty

Saeid Pakravan, Imene Trigui, Wessam Ajib, Wei-Ping Zhu ยท 2026

This paper investigates the secrecy performance of pinching-antenna systems (PAS) under practical pinching-position activation uncertainty. By dynamically selecting the radiation point along a dielectโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Uncertainty Guided Exploratory Trajectory Optimization for Sampling-Based Model Predictive Control

O. Goktug Poyrazoglu, Yukang Cao, Rahul Moorthy, Volkan Isler ยท 2026

Trajectory optimization depends heavily on initialization. In particular, sampling-based approaches are highly sensitive to initial solutions, and limited exploration frequently leads them to convergeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Foot Resistive Force Model for Legged Locomotion on Muddy Terrains

Xunjie Chen, Liuyin Wang, Xinyan Huang, Jerry Shan, Yantao Shen, Jingang Yi ยท 2026

Legged robots face significant challenges in moving and navigating on deformable and highly yielding terrain such as mud. We present a resistive force model for legged foot-mud interactions. The modelโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Bipedal-Walking-Dynamics Model on Granular Terrains

Xunjie Chen, Xinyan Huang, Peter Shan, Jingang Yi, Tao Liu ยท 2026

Bipeds have demonstrated high agility and mobility in unstructured environments such as sand. The yielding of such granular media brings significant sinkage and slip of the bipedal feet, leading to unโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

AI-Empowered Resource Allocation for Wirelessly Powered Pinching-Antenna Systems

Saeid Pakravan, Mohsen Ahmadzadeh, Ming Zeng, Xingwang Li, Fang Fang ยท 2026

This paper considers a multi-user system, where the users first harvest energy from the base station and then use the harvested energy to transmit information via non-orthogonal multiple access (NOMA)โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

An Embedded Boundary Scheme for Three-Dimensional Flow Over Terrain on a Staggered Mesh

Soonpil Kang, Ann S. Almgren, Mahesh Natarajan, Aaron M. Lattanzi, Jeffrey D. Mirocha, Katie Lundquist, Jordan Musser, Weiqun Zhang ยท 2026

This paper describes an embedded boundary (EB) approach for simulating three-dimensional fluid flow on a staggered mesh where the velocity components are defined on cell faces and the thermodynamic stโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Layered Control of Partially Observed Stochastic Systems

Charis Stamouli, Anastasios Tsiamis, George J. Pappas ยท 2026

Layered control is essential for managing complexity in large-scale systems, employing progressively coarser models at higher layers. While significant advances have been made for fully observable sysโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Quantized Online LQR

Barron Han, Victoria Kostina, Babak Hassibi ยท 2026

We study online linear-quadratic regulation (LQR) with unknown dynamics under communication rate constraints. Classical networked control quantizes the plant state at every time step, requiring $O(T)$โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Disentangled Point Diffusion for Precise Object Placement

Lyuxing He, Eric Cai, Shobhit Aggarwal, Jianjun Wang, David Held ยท 2026

Recent advances in robotic manipulation have highlighted the effectiveness of learning from demonstration. However, while end-to-end policies excel in expressivity and flexibility, they struggle both โ€ฆ

Read Paper โ†’
โ† Prev Page 20 of 1940 Next โ†’