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

Safe and Near-Optimal Gate Control: A Case Study from the Danish West Coast

Martin Kristjansen (Aalborg University), Kim Guldstrand Larsen (Aalborg University), Marius Mikucionis (Aalborg University), Christian Schilling (Aalborg University) ยท 2026

Ringkoebing Fjord is an inland water basin on the Danish west coast separated from the North Sea by a set of gates used to control the amount of water entering and leaving the fjord. Currently, human โ€ฆ

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Engineering Preprint PDF DOI

Modelling and Analysis of Supply Chains using Product Time Petri Nets

Eric Lubat (Universite Toulouse, Toulouse, France), Pierre-Emmanuel Hladik (Nantes Universite, Ecole Centrale Nantes, CNRS, LS2N, UMR 6004, 44000, Nantes, France), Yoann Mateu, Remi Sauvere ยท 2026

Supply chains involve geographically distributed manufacturing and assembly sites that must be coordinated under strict timing and resource constraints. While many existing approaches rely on Colored โ€ฆ

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Engineering Preprint PDF DOI

MC-GenRef: Annotation-free mammography microcalcification segmentation with generative posterior refinement

Hyunwoo Cho, Yeeun Kwon, Min Jung Kim, Yangmo Yoo ยท 2026

Microcalcification (MC) analysis is clinically important in screening mammography because clustered puncta can be an early sign of malignancy, yet dense MC segmentation remains challenging: targets arโ€ฆ

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Engineering Preprint PDF DOI

Modeling and Analysis of Air-to-Ground Cellular KPIs in a 5G Testbed using Android Smartphones

Simran Singh, An{i}l Gurses, Ozgur Ozdemir, Ram Asokan, Mihail L. Sichitiu, Ismail Guvenc, Rudra Dutta, Magreth Mushi ยท 2026

The integration of cellular communication with Unmanned Aerial Vehicles (UAVs) extends the range of command and control and payload communications of autonomous UAV applications. Accurate modeling of โ€ฆ

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Engineering Preprint PDF DOI

Adaptive Action Chunking at Inference-time for Vision-Language-Action Models

Yuanchang Liang, Xiaobo Wang, Kai Wang, Shuo Wang, Xiaojiang Peng, Haoyu Chen, David Kim Huat Chua, Prahlad Vadakkepat ยท 2026

In Vision-Language-Action (VLA) models, action chunking (i.e., executing a sequence of actions without intermediate replanning) is a key technique to improve robotic manipulation abilities. However, aโ€ฆ

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Engineering Preprint PDF DOI

Opacity Enforcing Supervisory Control with a Priori Unknown Supervisors

Bohan Cui, Ziyue Ma, Alessandro Giua, Xiang Yin ยท 2026

We investigate the enforcement of opacity in discrete-event systems via supervisory control. A system is said to be opaque if a passive intruder can never unambiguously infer whether the system is in โ€ฆ

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Engineering Preprint PDF DOI

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

Siddhartha Kapuria, Mohammad Rafiee Javazm, Naruhiko Ikoma, Joga Ivatury, Mohammad Ali Nasseri, Nassir Navab, Farshid Alambeigi ยท 2026

Colorectal cancer screening critically depends on colonoscopy, yet existing platforms offer limited support for systematically studying the coupled dynamics of operator control, instrument motion, andโ€ฆ

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Engineering Preprint PDF DOI

From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data

Linfang Zheng, Zikai Ouyang, Chen Wang, Jia Pan, Wei Zhang ยท 2026

Video is a scalable observation of physical dynamics: it captures how objects move, how contact unfolds, and how scenes evolve under interaction -- all without requiring robot action labels. Yet transโ€ฆ

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Engineering Preprint PDF DOI

Belief Dynamics for Detecting Behavioral Shifts in Safe Collaborative Manipulation

Devashri Naik, Divake Kumar, Nastaran Darabi, Amit Ranjan Trivedi ยท 2026

Robots operating in shared workspaces must maintain safe coordination with other agents whose behavior may change during task execution. When a collaborating agent switches strategy mid-episode, contiโ€ฆ

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Engineering Preprint PDF DOI

Optimizing Neurorobot Policy under Limited Demonstration Data through Preference Regret

Viet Dung Nguyen, Yuhang Song, Anh Nguyen, Jamison Heard, Reynold Bailey, Alexander Ororbia ยท 2026

Robot reinforcement learning from demonstrations (RLfD) assumes that expert data is abundant; this is usually unrealistic in the real world given data scarcity as well as high collection cost. Furtherโ€ฆ

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Engineering Preprint PDF DOI

A Wirtinger Power Flow Jacobian Singularity Condition for Voltage Stability in Converter-Rich Power Systems

Ahmed Mesfer Alkhudaydi, Bai Cui ยท 2026

The progression of modern power systems towards converter-rich operations calls for new models and analytics in steady-state voltage stability assessment. The classic modeling assumption of the generaโ€ฆ

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Engineering Preprint PDF DOI

Two-Timescale Asymptotic Simulations of Hybrid Inclusions with Applications to Stochastic Hybrid Optimization

Max F. Crisafulli, Andrew R. Teel ยท 2026

Convergence properties of model-free two-timescale asymptotic simulations of singularly perturbed hybrid inclusions are developed. A hybrid inclusion combines constrained differential and difference iโ€ฆ

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Engineering Preprint PDF DOI

A Differentiable Framework for Gradient Enhanced Damage with Physics-Augmented Neural Networks in JAX-FEM

Mark Wilkinson, Amirhossein Amiri-Hezaveh, Adrian Buganza Tepole ยท 2026

Soft materials such as rubbers, hydrogels, and biological tissues undergo damage in the form of stiffness degradation without apparent changes in their stress-free geometry. Accurate simulation of thiโ€ฆ

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Engineering Preprint PDF DOI

Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking

Haotian Xiang, Qin Lu, Yaakov Bar-Shalom ยท 2026

Active multi-target tracking requires a mobile robot to balance exploration for undetected targets with exploitation of uncertain tracked ones. Diffusion policies have emerged as a powerful approach fโ€ฆ

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Engineering Preprint PDF DOI

The Compression Gap: Why Discrete Tokenization Limits Vision-Language-Action Model Scaling

Takuya Shiba ยท 2026

Scaling Vision-Language-Action (VLA) models by upgrading the vision encoder is expected to improve downstream manipulation performance--as it does in vision-language modeling. We show that this expectโ€ฆ

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Engineering Preprint PDF DOI

Joint Prediction of Human Motions and Actions in Human-Robot Collaboration

Alessandra Bulanti, Alessandro Carfi, Fulvio Mastrogiovanni ยท 2026

Fluent human--robot collaboration requires robots to continuously estimate human behaviour and anticipate future intentions. This entails reasoning jointly about \emph{continuous movements} and \emph{โ€ฆ

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Engineering Preprint PDF DOI

ARM: Advantage Reward Modeling for Long-Horizon Manipulation

Yiming Mao, Zixi Yu, Weixin Mao, Yinhao Li, Qirui Hu, Zihan Lan, Minzhao Zhu, Hua Chen ยท 2026

Long-horizon robotic manipulation remains challenging for reinforcement learning (RL) because sparse rewards provide limited guidance for credit assignment. Practical policy improvement thus relies onโ€ฆ

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Engineering Preprint PDF DOI

Behavior-Constrained Reinforcement Learning with Receding-Horizon Credit Assignment for High-Performance Control

Siwei Ju, Jan Tauberschmidt, Oleg Arenz, Peter van Vliet, Jan Peters ยท 2026

Learning high-performance control policies that remain consistent with expert behavior is a fundamental challenge in robotics. Reinforcement learning can discover high-performing strategies but often โ€ฆ

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Engineering Preprint PDF DOI

Extending deep learning U-Net architecture for predicting unsteady fluid flows in textured microchannels

Ganesh Sahadeo Meshram, Partha Pratim Chakrabarti, Suman Chakraborty ยท 2026

In this study, we have explored an application of deep learning architecture of the U-Net model, originally designed for biomedical image segmentation, in a regression analysis aimed at predicting fluโ€ฆ

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Engineering Preprint PDF DOI

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision

Alessandro Adami, Tommaso Tubaldo, Marco Todescato, Ruggero Carli, Pietro Falco ยท 2026

Vision-language models (VLMs) have recently demonstrated strong capabilities in mapping multimodal observations to robot behaviors. However, most current approaches rely on end-to-end visuomotor policโ€ฆ

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