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Showing 961 results for "wei chen" in Engineering · Preprint
Engineering Preprint PDF DOI

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction

Zeyu Jiang, Changqing Zhou, Xingxing Zuo, Changhao Chen · 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 occ…

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Engineering Preprint PDF DOI

Feedback Linearization of Hyperbolic PDEs with Volterra Nonlinearities

Miroslav Krstic · 2026

Alberto Isidori's framework of geometric nonlinear control, and particularly of feedback linearization, is the inspiration behind PDE backstepping: apply a transfromation of the state to cast the plan…

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Engineering Preprint PDF DOI

Move-Then-Operate: Behavioral Phasing for Human-Like Robotic Manipulation

Haoming Xu, Lei Lei, Jie Gu, Chu Tang, Jingmin Chen, Ruiqi Wang · 2026

We present Move-Then-Operate, a Vision language action framework that explicitly decouples robotic manipulation into two distinct behavioral phases: coarse relocation (move) and contact-critical inter…

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Engineering Preprint PDF DOI

When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks

Chong Han, Jingting Jiang, Zhengdong Hu, Meixia Tao, Wenjun Zhang · 2026

The Terahertz (THz) band (0.1-10 THz) has emerged as a critical frontier for future communication systems, offering ultra-wide bandwidths that enable Terabits-per-second (Tbps) wireless links and high…

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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 · 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 …

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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 · 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 int…

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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 · 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 t…

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Engineering Preprint PDF DOI

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

Kaixuan Chen, Linqi Ye · 2026

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

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Engineering Preprint PDF DOI

Chain Of Interaction Benchmark (COIN): When Reasoning meets Embodied Interaction

Xianhao Wang, Xiaojian Ma, Haozhe Hu, Rongpeng Su, Yutian Cheng, Zhou Ziheng, Hangxin Liu, Lei Liu, Bin Li, Qing Li · 2026

Generalist embodied agents must perform interactive, causally-dependent reasoning, continually interacting with the environment, acquiring information, and updating plans to solve long-horizon tasks b…

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Engineering Preprint PDF DOI

QGas: Interactive Gas Infrastructure Toolkit

Marco Quantschnig, Yannick Werner, Sonja Wogrin, Thomas Klatzer · 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 heterogen…

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Engineering Preprint PDF DOI

When structure does not imply symmetry

Skyler R. St. Pierre, Thibault Vervenne, Ethan C. Darwin, Ellen Kuhl · 2026

Fungal protein materials exhibit inherently anisotropic microstructures formed by networks of hyphae, which suggest a natural pathway to replicate the fibrous texture of animal meat. We probe whether …

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Engineering Preprint PDF DOI

Exploiting Scheduling Flexibility via State-Based Scheduling When Guaranteeing Worst-Case Services

Yike Xu, Mark S. Andersland · 2026

Even when providing long-run, worst-case guarantees to competing flows of unit-sized tasks, a slot-timed, constant-capacity server's scheduler may retain significant, short-run, scheduling flexibility…

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Engineering Preprint PDF DOI

When Altruism Meets Autonomy: Managing Bottleneck Congestion with Strategic Autonomous Vehicles

Kexin Wang, Haohui He, Ruolin Li · 2026

Weaving ramps are critical bottlenecks in highway networks due to conflicting traffic flows and complex interactions among heterogeneous vehicle types. In mixed-autonomy settings, the presence of cont…

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Engineering Preprint PDF DOI

What Happens When Institutional Liquidity Enters Prediction Markets: Identification, Measurement, and a Synthetic Proof of Concept

Shaw Dalen · 2026

Prediction markets are starting to look less like crowd polls and more like electronic markets. The central question is therefore no longer only whether these markets forecast well, but what happens w…

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Engineering Preprint PDF DOI

When Market Prices Drive the Load: Modeling, Grid-Security Analysis, and Mitigation of Data Center Workload Scheduling

Shijie Pan, Zaint A. Alexakis, Charalambos Konstantinou · 2026

Data centers (DCs) are emerging as large, geographically distributed, controllable loads whose participation in electricity markets can significantly affect grid operation, especially when cloud platf…

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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 · 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 inci…

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Engineering Preprint PDF DOI

When Agent Markets Arrive

Xuan Liu, Haoyang Shang, Haojian Jin · 2026

AI agents are increasingly transacting on behalf of users -- delegating tasks, spending budgets, and negotiating with unfamiliar counterparties. From skill marketplaces to agent-only bazaars, the econ…

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Engineering Preprint PDF DOI

Learning When to See and When to Feel: Adaptive Vision-Torque Fusion for Contact-Aware Manipulation

Jiuzhou Lei, Chang Liu, Yu She, Xiao Liang, Minghui Zheng · 2026

Vision-based policies have achieved a good performance in robotic manipulation due to the accessibility and richness of visual observations. However, purely visual sensing becomes insufficient in cont…

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Engineering Preprint PDF DOI

Physics-Enforced Neural Ordinary Differential Equation for Chemical Kinetics Optimization in Reaction-Diffusion Systems

Feixue Cai, Hua Zhou, Zhuyin Ren · 2026

Calibrating chemical kinetics in a reaction-diffusion system is challenging because of complex dynamics governed by tightly coupled chemistry and transport, while experimental observations are often s…

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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 · 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 fiv…

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