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๐Ÿ” david i. august ๐Ÿ“‚ Engineering
Showing 5098 results for "david i. august" in Engineering
Engineering Preprint PDF DOI

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng ยท 2026

Vision-Language-Action (VLA) models have increasingly incorporated reasoning mechanisms for complex robotic manipulation. However, existing approaches share a critical limitation: whether employing exโ€ฆ

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Engineering Preprint PDF DOI

FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems

Binghao Huang, Yunzhu Li ยท 2026

We present FlexiTac, a low-cost, open-source, and scalable piezoresistive tactile sensing solution designed for robotic end-effectors. FlexiTac is a practical "plug-in" module consisting of (i) thin, โ€ฆ

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Engineering Preprint PDF DOI

LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni ยท 2026

Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous systems. This paper โ€ฆ

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Engineering Preprint PDF DOI

Exploring Converter Control Duality in Microgrids: AC Grid-Forming vs DC Droop Control

Jovan Krajacic, Ognjen Stanojev, Mario Schweizer, Orcun Karaca, Gabriela Hug, Vladan Lazarevic ยท 2026

Power electronic converters are fundamental building blocks of both AC and DC microgrids, enabling the integration of renewable energy sources, energy storage systems, electronic loads, and electric vโ€ฆ

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Engineering Preprint PDF DOI

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection

Jaskirat Sudan, Hashim Ali, Surya Subramani, Hafiz Malik ยท 2026

Supervised contrastive learning (SupCon) is widely used to shape representations, but has seen limited targeted study for audio deepfake detection. Existing work typically combines contrastive terms wโ€ฆ

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Engineering Preprint PDF DOI

Optimal-Control Suggestion for Congestion on Freeways using Data Assimilation of Distributed Fiber-Optic Sensing

Yoshiyuki Yajima, Hemant Prasad, Daisuke Ikefuji, Takemasa Suzuki, Shin Tominaga, Hitoshi Sakurai, Manabu Otani ยท 2026

This paper presents the optimal-control suggestion for congestion on freeways using data assimilation (DA) of distributed fiber-optic sensing (DFOS). To simultaneously maximize throughput and avoid/miโ€ฆ

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Engineering Preprint PDF DOI

Data Driven Calibration of Analytical Concrete Creep Models Considering Preloading Effects Using Gaussian Processes

Leonie Heller, Christopher Taube, Gledson Rodrigo Tondo, Guido Morgenthal ยท 2026

The time-dependent deformation of concrete, particularly creep, remains a key challenge for reliable and material-efficient design. Experimental results show that tailored preloading, short-term loadsโ€ฆ

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Engineering Preprint PDF DOI

Generalizable 3D Gaussian Splatting enabled Semantic Coding for Real-Time Immersive Video Communications

Dingxi Yang, Wenqi Guo, Yue Liu, Jungong Han, Zhijin Qin ยท 2026

Real-time immersive video communications, particularly high-fidelity 3D telepresence, necessitates a synergistic balance between instantaneous dynamic scene reconstruction and high-efficiency data traโ€ฆ

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Engineering Preprint PDF DOI

ANCHOR: A Physically Grounded Closed-Loop Framework for Robust Home-Service Mobile Manipulation

Jinhao Jiang, Shengyu Fang, Sibo Zuo, Yujie Tang, Yirui Li ยท 2026

Recent advances in open-vocabulary mobile manipulation have brought robots into real domestic environments. In such settings, reliable long-horizon execution under open-set object references and frequโ€ฆ

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Engineering Preprint PDF DOI

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis

Antoine P. Leeman, Shuyu Zhan, Melanie N. Zeilinger, Glen Chou ยท 2026

We propose VISION-SLS, a method for nonlinear output-feedback control from high-resolution RGB images which provides robust constraint satisfaction guarantees under calibrated uncertainty bounds despiโ€ฆ

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Engineering Preprint PDF DOI

Wave Tank Experiment for Sea State Monitoring with Distributed Acoustic Sensing

Yoshiyuki Yajima, Sakiko Mishima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi ยท 2026

Monitoring sea states across the offshore wind farm areas is essential to keep their structures safe, efficiently operate the systems, and assess the environmental effects of wind turbines. Conventionโ€ฆ

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Engineering Preprint PDF DOI

Exploiting Differential Flatness for Efficient Learning-based Model Predictive Control of Constrained Multi-Input Control Affine Systems

Tobias A. Farger, Adam W. Hall, Angela P. Schoellig ยท 2026

Learning-based control techniques use data from past trajectories to control systems with uncertain dynamics. However, learning-based controllers are often computationally inefficient, limiting their โ€ฆ

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Engineering Preprint PDF DOI

Safe Reconnection Time for Large-Scale Data Center Loads: An Analytical Framework for Transient Stability Assessment

Ahmed Mesfer Alkhudaydi, Bai Cui ยท 2026

The rapid growth of large, power-electronics-rich data center (DC) loads is creating new operational challenges for bulk power systems. A key risk arises when a DC uninterruptible power supply (UPS) dโ€ฆ

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Engineering Preprint PDF DOI

An Individual-Delay-Reflected Generalized Consensus Analysis for Multi-Agent Systems with Heterogeneous Time-Varying Delays

Hye Jin Lee, Ho Sub Lee, PooGyeon Park ยท 2026

In multi-agent systems, heterogeneous time delays exist for all agents because of the difference in communication environments. Therefore, the consensus analysis of a system considering a homogeneous โ€ฆ

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Engineering Preprint PDF DOI

Sparsity-Aware Event-Driven Impulse Radio Transceivers for Reliable Neuromorphic Inference

Zhengzhong Guan, Jiaying Li, Kanghua Li, Bojun Cheng, Hong Xing ยท 2026

The growing number of Internet-of-Things (IoT) based artificial intelligence (AI) applications deployed at resource-constrained network edge call for ultra-reliable and low-latency data processing pipโ€ฆ

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Engineering Preprint PDF DOI

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning

Kanghoon Lee, Matthew M. Sato, Jinnyeong Yang, Seungro Lee, Sujin Lee, Jiachen Li, Kuk-Jin Yoon, Jinkyoo Park, Kincho H. Law, Yoonjin Yoon ยท 2026

Monitoring human activity in indoor environments is important for applications such as facility management, safety assessment, and space utilization analysis. While mobile robot teams offer the potentโ€ฆ

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Engineering Preprint PDF DOI

RedVLA: Physical Red Teaming for Vision-Language-Action Models

Yuhao Zhang, Borong Zhang, Jiaming Fan, Jiachen Shen, Yishuai Cai, Yaodong Yang, Jiaming Ji ยท 2026

The real-world deployment of Vision-Language-Action (VLA) models remains limited by the risk of unpredictable and irreversible physical harm. However, we currently lack effective mechanisms to proactiโ€ฆ

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Engineering Preprint PDF DOI

Long-Horizon Manipulation via Trace-Conditioned VLA Planning

Isabella Liu, An-Chieh Cheng, Rui Yan, Geng Chen, Ri-Zhao Qiu, Xueyan Zou, Sha Yi, Hongxu Yin, Xiaolong Wang, Sifei Liu ยท 2026

Long-horizon manipulation remains challenging for vision-language-action (VLA) policies: real tasks are multi-step, progress-dependent, and brittle to compounding execution errors. We present LoHo-Manโ€ฆ

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Engineering Preprint PDF DOI

Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction

Luis Barba, Johannes Kirschner, Benjamin Bejar ยท 2026

Computed Tomography (CT) is a widely used imaging modality in medical and industrial applications. To limit radiation exposure and measurement time, there is a growing interest in sparse-view CT, wherโ€ฆ

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Engineering Preprint PDF DOI

Ufil: A Unified Framework for Infrastructure-based Localization

Simon Schafer, Lucas Hegerath, Marius Molz, Massimo Marcon, Bassam Alrifaee ยท 2026

Infrastructure-based localization enhances road safety and traffic management by providing state estimates of road users. Development is hindered by fragmented, application-specific stacks that tightlโ€ฆ

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