Expertini Research Research

Browse Research Papers

1,572+ open-access research outputs.

โœ• Clear
๐Ÿ” wei liu ๐Ÿ“‚ Engineering
Showing 1572 results for "wei liu" in Engineering
Engineering Preprint PDF DOI

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction

Zeyu Jiang, Changqing Zhou, Xingxing Zuo, Changhao Chen ยท 2026

Existing learning-based occupancy prediction methods rely on large-scale 3D annotations and generalize poorly across environments. We present FreeOcc, a training-free framework for open-vocabulary occโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

On the Nesterov's acceleration: A NAIM perspective

Rachit Mehra, M Parimi, Amol Yerudkar, S.R. Wagh, Navdeep Singh ยท 2026

We present a unifying Nearly Asymptotically Invariant Manifold (NAIM) framework for understanding Nesterovs Accelerated Gradient (NAG) method. By lifting the first-order gradient flow into a second-orโ€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

VEHRON: A Configuration-Driven BEV Simulation Framework for Subsystem-Level Studies

Subramanyam Natarajan ยท 2026

In practical early-stage battery-electric vehicle studies, analysis workflows may become fragmented across spreadsheets, notebooks, and project-specific scripts, making reuse, audit, and extension harโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions

Mohammadreza Kamaldar ยท 2026

Deploying neural-network control barrier functions (CBFs) on embedded hardware requires evaluating the barrier value and its Lie derivatives along the system vector fields at every control cycle. The โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Equivariant Filter for Radar-Inertial Odometry

Giulio Delama, Jan Michalczyk, Morten Nissov, Martin Scheiber, Alessandro Fornasier, Kostas Alexis, Stephan Weiss ยท 2026

Radar-Inertial Odometry (RIO) based on the Extended Kalman Filter (EKF) relies on accurate extrinsic calibration between the radar and the Inertial Measurement Unit (IMU) and is sensitive to disturbanโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Hiding Secrets in the CSI Quotient: A Robust Wi-Fi CSI Steganography System

Jiamu Guo, Hailang Jia, Guanxiong Shen, Junqing Zhang, Linning Peng, Liquan Chen ยท 2026

Physical layer (PHY) steganography conceals secrets by making subtle modifications to transmitted radio waveforms, which can be applied to establish covert communication systems. Given the widespread โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

MOMO: A framework for seamless physical, verbal, and graphical robot skill learning and adaptation

Markus Knauer, Edoardo Fiorini, Maximilian Muhlbauer, Stefan Schneyer, Promwat Angsuratanawech, Florian Samuel Lay, Timo Bachmann, Samuel Bustamante, Korbinian Nottensteiner, Freek Stulp, Alin Albu-Schaffer, Joao Silverio, Thomas Eiband ยท 2026

Industrial robot applications require increasingly flexible systems that non-expert users can easily adapt for varying tasks and environments. However, different adaptations benefit from different intโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy

Tianle Zhang, Zhihao Yuan, Dafeng Chi, Peidong Liu, Dongwei Li, Kejun Hu, Likui Zhang, Junnan Nie, Ziming Wei, Zengjue Chen, Yili Tang, Jiayi Li, Zhiyuan Xiang, Mingyang Li, Tianci Luo, Hanwen Wan, Ao Li, Linbo Zhai, Zhihao Zhan, Xiaodong Bai, Jiakun Cai, Peng Cao, Kangliang Chen, Siang Chen, Yixiang Dai, Shuai Di, Yicheng Gong, Chenguang Gui, Yucheng Guo, Peng Hao, Qingrong He, Haoyang Huang, Kunrui Huang, Zhixuan Huang, Shibo Jin, Yixiang Jin, Anson Li, Dongjiang Li, Jiawei Li, Ruodai Li, Yihang Li, Yuzhen Li, Jiaming Liang, Fangsheng Liu, Jing Long, Mingxi Luo, Xing Pan, Hui Shen, Xiaomeng Tian, Daming Wang, Song Wang, Junwu Xiong, Hang Xu, Wanting Xu, Zhengcheng Yu, He Zhang, Jiyao Zhang, Lin Zhao, Chen Zhou, Nan Duan, Yuzheng Zhuang, Liang Lin ยท 2026

Robotic autonomy in open-world environments is fundamentally limited by insufficient data diversity and poor cross-embodiment generalization. Existing robotic datasets are often limited in scale and tโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Algebraic Diversity: Principles of a Group-Theoretic Approach to Signal Processing

Mitchell A. Thornton ยท 2026

We present principles of algebraic diversity (AD), a group-theoretic approach to signal processing exploiting signal symmetry to extract more information per observation, complementing classical methoโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Sparsification of Precoding Codebooks for PAPR Reduction via Grassmannian Representations

Joe Asano, Yuto Hama, Hiroki Iimori, Szabolcs Malomsoky, Naoki Ishikawa ยท 2026

In this letter, we propose a sparsification method for precoding codebooks that reduces the peak-to-average power ratio (PAPR) while preserving the achievable rate. By exploiting the fact that precodeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning

Kaixuan Chen, Linqi Ye ยท 2026

With the rapid development of embodied intelligence, robotics education faces a dual challenge: high computational barriers and cumbersome environment configuration. Existing centralized cloud simulatโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

QGas: Interactive Gas Infrastructure Toolkit

Marco Quantschnig, Yannick Werner, Sonja Wogrin, Thomas Klatzer ยท 2026

Gas infrastructure datasets are essential inputs for energy system planning to support strategic decision-making toward decarbonization. However, relevant data are typically scattered across heterogenโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Iterated Invariant EKF for Quadruped Robot Odometry

Hilton Marques Souza Santana, Joao Carlos Virgolino Soares, Sven Goffin, Ylenia Nistico, Silvere Bonnabel, Claudio Semini, Marco Antonio Meggiolaro ยท 2026

Kalman filter-based algorithms are fundamental for mobile robots, as they provide a computationally efficient solution to the challenging problem of state estimation. However, they rely on two main asโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

BIEVR-LIO: Robust LiDAR-Inertial Odometry through Bump-Image-Enhanced Voxel Maps

Patrick Pfreundschuh, Turcan Tuna, Cedric Le Gentil, Roland Siegwart, Cesar Cadena, Helen Oleynikova ยท 2026

Reliable odometry is essential for mobile robots as they increasingly enter more challenging environments, which often contain little information to constrain point cloud registration, resulting in deโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Complementarity by Construction: A Lie-Group Approach to Solving Quadratic Programs with Linear Complementarity Constraints

Arun L. Bishop, Micah I. Reich, Zachary Manchester ยท 2026

Many problems in robotics require reasoning over a mix of continuous dynamics and discrete events, such as making and breaking contact in manipulation and locomotion. These problems are locally well mโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Natural Gradient Gaussian Approximation Filter on Lie Groups for Robot State Estimation

Tianyi Zhang, Wenhan Cao, Chang Liu, Yao Lyu, Shengbo Eben Li ยท 2026

Accurate state estimation for robotic systems evolving on Lie group manifolds, such as legged robots, is a prerequisite for achieving agile control. However, this task is challenged by nonlinear obserโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Data-Driven Unknown Input Reconstruction for MIMO Systems with Convergence Guarantees

Enno Breukelman, Takumi Shinohara, Joowon Lee, Henrik Sandberg ยท 2026

In this paper, we consider data-driven reconstruction of unknown inputs to linear time-invariant (LTI) multiple-input multiple-output (MIMO) systems. We propose a novel autoregressive estimator based โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training

Nikolaos D. Tantaroudas, Ilias Karachalios, Andrew J. McCracken ยท 2026

The field of cybersecurity is confronted with two interrelated challenges: a worldwide deficit of qualified practitioners and ongoing human-factor weaknesses that account for the bulk of security inciโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping

Lei Zhao, Xingyi Li, Tianchen Deng, Chuan Cao, Han Zhang, Weidong Chen ยท 2026

Maintaining stable and accurate localization during fast motion or on rough terrain remains highly challenging for mobile robots with onboard resources. Currently, multi-sensor fusion methods based onโ€ฆ

Read Paper โ†’
Page 1 of 79 Next โ†’