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๐Ÿ” behavior ๐Ÿ“‚ Engineering
Showing 11037 results for "behavior" in Engineering
Engineering Preprint PDF DOI

ActiveGlasses: Learning Manipulation with Active Vision from Ego-centric Human Demonstration

Yanwen Zou, Chenyang Shi, Wenye Yu, Han Xue, Jun Lv, Ye Pan, Chuan Wen, Cewu Lu ยท 2026

Large-scale real-world robot data collection is a prerequisite for bringing robots into everyday deployment. However, existing pipelines often rely on specialized handheld devices to bridge the embodiโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Power Flow for Radial Distribution Networks with Sparse Real-Time Data

Oleksii Molodchyk, Omid Mokhtari, Samuel Chevalier, Mads R. Almassalkhi, Timm Faulwasser ยท 2026

Real-time control of distribution networks requires accurate information about the system state. In practice, however, such information is difficult to obtain because real-time measurements are availaโ€ฆ

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Stability and Sensitivity Analysis for Objective Misspecifications Among Model Predictive Game Controllers

Ada Yildirim, Bryce L. Ferguson ยท 2026

Model-based multi-agent control requires agents to possess a model of the behavior of others to make strategic decisions. Solution concepts from game theory are often used to model the emergent collecโ€ฆ

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Engineering Preprint PDF DOI

$\phi-$DeepONet: A Discontinuity Capturing Neural Operator

Sumanta Roy, Stephen T. Castonguay, Pratanu Roy, Michael D. Shields ยท 2026

We present $\phi-$DeepONet, a physics-informed neural operator designed to learn mappings between function spaces that may contain discontinuities or exhibit non-smooth behavior. Classical neural operโ€ฆ

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Engineering Preprint PDF DOI

Governed Capability Evolution for Embodied Agents: Safe Upgrade, Compatibility Checking, and Runtime Rollback for Embodied Capability Modules

Xue Qin, Simin Luan, John See, Cong Yang, Zhijun Li ยท 2026

Embodied agents are increasingly expected to improve over time by updating their executable capabilities rather than rewriting the agent itself. Prior work has separately studied modular capability paโ€ฆ

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Engineering Preprint PDF DOI

Karma Mechanisms for Decentralised, Cooperative Multi Agent Path Finding

Kevin Riehl, Julius Schlapbach, Anastasios Kouvelas, Michail A. Makridis ยท 2026

Multi-Agent Path Finding (MAPF) is a fundamental coordination problem in large-scale robotic and cyber-physical systems, where multiple agents must compute conflict-free trajectories with limited compโ€ฆ

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Engineering Preprint PDF DOI

Differences in Small-Signal Stability Boundaries Between Aggregated and Granular DFIG Models

Leyou Zhou, Mucheng Li, Xiaojie Shi, Meng Zhan, Juanjuan Wang, Dan Wu ยท 2026

Broadband oscillations in wind farms have been widely reported in recent years. Past studies have examined various types of oscillations in wind farms, relating small-signal stability to control settiโ€ฆ

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RoboAgent: Chaining Basic Capabilities for Embodied Task Planning

Peiran Xu, Jiaqi Zheng, Yadong Mu ยท 2026

This paper focuses on embodied task planning, where an agent acquires visual observations from the environment and executes atomic actions to accomplish a given task. Although recent Vision-Language Mโ€ฆ

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Engineering Preprint PDF DOI

Bird-Inspired Spatial Flapping Wing Mechanism via Coupled Linkages with Single Actuator

Daniel Huczala, Sun-Pill Jung, Frank C. Park ยท 2026

Spatial single-loop mechanisms such as Bennett linkages offer a unique combination of one-degree-of-freedom actuation and nontrivial spatial trajectories, making them attractive for lightweight bio-inโ€ฆ

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EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World

Ryan Punamiya, Simar Kareer, Zeyi Liu, Josh Citron, Ri-Zhao Qiu, Xiongyi Cai, Alexey Gavryushin, Jiaqi Chen, Davide Liconti, Lawrence Y. Zhu, Patcharapong Aphiwetsa, Baoyu Li, Aniketh Cheluva, Pranav Kuppili, Yangcen Liu, Dhruv Patel, Aidan Gao, Hye-Young Chung, Ryan Co, Renee Zbizika, Jeff Liu, Xiaomeng Xu, Haoyu Xiong, Geng Chen, Sebastiano Oliani, Chenyu Yang, Xi Wang, James Fort, Richard Newcombe, Josh Gao, Jason Chong, Garrett Matsuda, Aseem Doriwala, Marc Pollefeys, Robert Katzschmann, Xiaolong Wang, Shuran Song, Judy Hoffman, Danfei Xu ยท 2026

Robot learning increasingly depends on large and diverse data, yet robot data collection remains expensive and difficult to scale. Egocentric human data offer a promising alternative by capturing richโ€ฆ

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CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection

Ziyang Cheng, Haoyu Wei, Hang Yin, Xiuwei Xu, Bingyao Yu, Jie Zhou, Jiwen Lu ยท 2026

While decoupled control schemes for legged mobile manipulators have shown robustness, learning holistic whole-body control policies for tracking global end-effector poses remains fragile against Out-oโ€ฆ

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Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning

Roberto Vercellino, Jared Willard, Gustavo Campos, Weslley da Silva Pereira, Olivia Hull, Matthew Selensky, Juliane Mueller ยท 2026

The rapid growth of generative artificial intelligence (AI) has introduced unprecedented computational demands, driving significant increases in the energy footprint of data centers. However, existingโ€ฆ

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Robots that learn to evaluate models of collective behavior

Mathis Hocke, Andreas Gerken, David Bierbach, Jens Krause, Tim Landgraf ยท 2026

Understanding and modeling animal behavior is essential for studying collective motion, decision-making, and bio-inspired robotics. Yet, evaluating the accuracy of behavioral models still often reliesโ€ฆ

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Complex-Valued Kuramoto Networks: A Unified Control-Theoretic Framework

Lorenzo Giordano, Josep M. Olm, Mario di Bernardo ยท 2026

Synchronization in networks of coupled oscillators is classically studied via the Kuramoto model, whose intrinsic nonlinearity limits analytical tractability and complicates control design. Complex-vaโ€ฆ

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Immersed boundary-conformal isogeometric methods for magnetostatics

Yusuf T. Elbadry, Giuliano Guarino, Pablo Antolin, Oliver Weeger ยท 2026

Isogeometric analysis was proposed to bridge the gap between computer-aided design and numerical discretization. However, standard multi-patch isogeometric analysis mandates conformal discretizations โ€ฆ

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Trajectory-Based Nonlinear Indices for Real-Time Monitoring and Quantification of Short-Term Voltage Stability

Mohammad Almomani, Muhammad Sarwar, Venkataramana Ajjarapu ยท 2026

Existing short term voltage stability (STVS) methods typically address either voltage oscillations or delayed voltage recovery; however, the coexistence of both phenomena has not been adequately coverโ€ฆ

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A Physical Agentic Loop for Language-Guided Grasping with Execution-State Monitoring

Wenze Wang, Mehdi Hosseinzadeh, Feras Dayoub ยท 2026

Robotic manipulation systems that follow language instructions often execute grasp primitives in a largely single-shot manner: a model proposes an action, the robot executes it, and failures such as eโ€ฆ

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Dynamic Modeling of Data-Center Power Delivery for Power System Resonance Analysis

Xingyu Zhao, Junbo Zhao ยท 2026

The rapid proliferation of data centers is reshaping modern power system dynamics. Unlike legacy industrial loads, data centers have power-electronic interfaces whose multi-timescale dynamics can inteโ€ฆ

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Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles

Yicheng Guo, Jiaqi Liu, Chengkai Xu, Peng Hang, Jian Sun ยท 2026

Autonomous vehicles in interactive traffic environments are often limited by the scarcity of safety-critical tail events in static datasets, which biases learned policies toward average-case behaviorsโ€ฆ

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Multiscale topology optimization of compressible and nearly incompressible anisotropic hyperelastic structures using physics-augmented neural networks

Asghar A. Jadoon, Aryan Tyagi, L. River Spencer, Reese E. Jones, Manuel K. Rausch, Ryan Alberdi, D. Thomas Seidl, Jan N. Fuhg ยท 2026

Multiscale topology optimization (TO) of hyperelastic materials remains computationally prohibitive due to the repeated solution of microscale boundary value problems. In this work, we present a concuโ€ฆ

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