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๐Ÿ” wei bao ๐Ÿ“‚ Engineering
Showing 1378 results for "wei bao" 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

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Engineering Preprint PDF DOI

Fixed-phase Resonance Tracking for Fast Nonlinear Resonant Ultrasound Spectroscopy

Jan Kober, Radovan Zeman, Marco Scalerandi ยท 2026

Nonlinear Resonant Ultrasound Spectroscopy (NRUS) experiments that rely on repeated sampling of resonance curves are inherently sensitive to measurement protocol due to evolution of material parameterโ€ฆ

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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

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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

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Engineering Preprint PDF DOI

Benefits of Low-Cost Bio-Inspiration in the Age of Overparametrization

Kevin Godin-Dubois, Anil Yaman, Anna V. Kononova ยท 2026

While Central Pattern Generators (CPGs) and Multi-Layer Perceptrons (MLP) are widely used paradigms in robot control, few systematic studies have been performed on the relative merits of large parametโ€ฆ

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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

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Engineering Preprint PDF DOI

AeroBridge-TTA: Test-Time Adaptive Language-Conditioned Control for UAVs

Lingxue Lyu ยท 2026

Language-guided unmanned aerial vehicles (UAVs) often fail not from bad reasoning or perception, but from execution mismatch: the gap between a planned trajectory and the controller's ability to traโ€ฆ

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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

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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

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Engineering Preprint PDF DOI

An Intelligent Robotic and Bio-Digestor Framework for Smart Waste Management

Radhika Khatri, Adit Tewari, Nikhil Sharma, M. B. Srinivas ยท 2026

Rapid urbanization and continuous population growth have made municipal solid waste management increasingly challenging. These challenges highlight the need for smarter and automated waste management โ€ฆ

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Engineering Preprint PDF DOI

A Nonasymptotic Theory of Gain-Dependent Error Dynamics in Behavior Cloning

Junghoon Seo ยท 2026

Behavior cloning (BC) policies on position-controlled robots inherit the closed-loop response of the underlying PD controller, yet the effect of controller gains on BC failure lacks a nonasymptotic thโ€ฆ

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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

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Engineering Preprint PDF DOI

WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models

Anlan Yu, Zaishu Chen, Peili Song, Zhiqing Hong, Haotian Wang, Desheng Zhang, Tian He, Yi Ding, Daqing Zhang ยท 2026

Imitation learning is a powerful paradigm for training robotic policies, yet its performance is limited by compounding errors: minor policy inaccuracies could drive robots into unseen out-of-distributโ€ฆ

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Engineering Preprint PDF DOI

Data-adaptive spline surfaces for non-separable hyperelastic energy functions

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

Invariant-based models for incompressible isotropic hyperelasticity are typically formulated as functions of the first and second invariants, $W = W(\bar{I}_1, \bar{I}_2)$. A widely used class of modeโ€ฆ

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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

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Engineering Preprint PDF DOI

A Co-Design Framework for High-Performance Jumping of a Five-Bar Monoped with Actuator Optimization

Aastha Mishra, Aman Singh, Shishir Kolathaya ยท 2026

The performance of legged robots depends strongly on both mechanical design and control, motivating co-design approaches that jointly optimize these parameters. However, most existing co-design studieโ€ฆ

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Engineering Preprint PDF DOI

BAT: Balancing Agility and Stability via Online Policy Switching for Long-Horizon Whole-Body Humanoid Control

Donghoon Baek, Sang-Hun Kim, Sehoon Ha ยท 2026

Despite recent advances in control, reinforcement learning, and imitation learning, developing a unified framework that can achieve agile, precise, and robust whole-body behaviors, particularly in lonโ€ฆ

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Engineering Preprint PDF DOI

AutoSiMP: Autonomous Topology Optimization from Natural Language via LLM-Driven Problem Configuration and Adaptive Solver Control

Shaoliang Yang, Jun Wang, Yunsheng Wang ยท 2026

We present AutoSiMP, an autonomous pipeline that transforms a natural-language structural problem description into a validated, binary topology without manual configuration. The pipeline comprises fivโ€ฆ

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Engineering Preprint PDF DOI

Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining

Wenyao Zhang, Bozhou Zhang, Zekun Qi, Wenjun Zeng, Xin Jin, Li Zhang ยท 2026

Vision-language-action (VLA) models have shown great potential in building generalist robots, but still face a dilemma-misalignment of 2D image forecasting and 3D action prediction. Besides, such a viโ€ฆ

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Engineering Preprint PDF DOI

A Monolithic Computational Homogenization Framework for Nearly Incompressible Magnetoelastic Composites

L. River Spencer, Manuel K. Rausch, Chad M. Landis, Jan N. Fuhg ยท 2026

Magneto-active elastomers exhibit large, nonlinear deformations under combined mechanical loading and magnetic fields, and their effective behavior is strongly governed by microstructural heterogeneitโ€ฆ

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