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๐Ÿ” toby berger ๐Ÿ“‚ Engineering
Showing 301 results for "toby berger" in Engineering
Engineering Preprint PDF DOI

Split over $n$ resource sharing problem: Are fewer capable agents better than many simpler ones?

Karthik Soma, Mohamed S. Talamali, Genki Miyauchi, Giovanni Beltrame, Heiko Hamann, Roderich Gross ยท 2026

In multi-agent systems, should limited resources be concentrated into a few capable agents or distributed among many simpler ones? This work formulates the split over $n$ resource sharing problem wherโ€ฆ

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Engineering Preprint PDF DOI

A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies

Yu Lei, Minghuan Liu, Abhiram Maddukuri, Zhenyu Jiang, Yuke Zhu ยท 2026

Co-training, which combines limited in-domain real-world data with abundant surrogate data such as simulation or cross-embodiment robot data, is widely used for training generative robot policies. Desโ€ฆ

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Engineering Preprint PDF DOI

Generative AI for material design: A mechanics perspective from burgers to matter

Vahidullah Tac, Ellen Kuhl ยท 2026

Generative artificial intelligence offers a new paradigm to design matter in high-dimensional spaces. However, its underlying mechanisms remain difficult to interpret and limit adoption in computationโ€ฆ

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Engineering Preprint PDF DOI

Koopman Operator Framework for Modeling and Control of Off-Road Vehicle on Deformable Terrain

Kartik Loya, Phanindra Tallapragada ยท 2026

This work presents a hybrid physics-informed and data-driven modeling framework for predictive control of autonomous off-road vehicles operating on deformable terrain. Traditional high-fidelity terramโ€ฆ

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Engineering Preprint PDF DOI

Do World Action Models Generalize Better than VLAs? A Robustness Study

Zhanguang Zhang, Zhiyuan Li, Behnam Rahmati, Rui Heng Yang, Yintao Ma, Amir Rasouli, Sajjad Pakdamansavoji, Yangzheng Wu, Lingfeng Zhang, Tongtong Cao, Feng Wen, Xinyu Wang, Xingyue Quan, Yingxue Zhang ยท 2026

Robot action planning in the real world is challenging as it requires not only understanding the current state of the environment but also predicting how it will evolve in response to actions. Vision-โ€ฆ

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Engineering Preprint PDF DOI

Smaller is Better: Generative Models Can Power Short Video Preloading

Liming Liu, Jiangkai Wu, Xinggong Zhang ยท 2026

Preloading is widely used in short video platforms to minimize playback stalls by downloading future content in advance. However, existing strategies face a tradeoff. Aggressive preloading reduces staโ€ฆ

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Engineering Preprint PDF DOI

Generative Artificial Intelligence creates delicious, sustainable, and nutritious burgers

Vahidullah Tac, Christopher Gardner, Ellen Kuhl ยท 2026

Food choices shape both human and planetary health; yet, designing foods that are delicious, nutritious, and sustainable remains challenging. Here we show that generative artificial intelligence can lโ€ฆ

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Engineering Preprint PDF DOI

Degradation-Aware Frequency Regulation of a Heterogeneous Battery Fleet via Reinforcement Learning

Tanay Raghunandan Srinivasa, Vivek Deulkar, Jia Bhargava, Mohammad Hajiesmaili, Prashant Shenoy ยท 2026

Battery energy storage systems are increasingly deployed as fast-responding resources for grid balancing services such as frequency regulation and for mitigating renewable generation uncertainty. Howeโ€ฆ

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Engineering Preprint PDF DOI

Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation

Alexandre Chapin (LIRIS), Bruno Machado (LIRIS), Emmanuel Dellandrea (LIRIS), Liming Chen (LIRIS) ยท 2026

The generalization capabilities of robotic manipulation policies are heavily influenced by the choice of visual representations. Existing approaches typically rely on representations extracted from prโ€ฆ

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Engineering Preprint PDF DOI

Orthogonal Plane-Wave Transmit-Receive Isotropic-Focusing Micro-Ultrasound (OPTIMUS) with Bias-Switchable Row-Column Arrays

Darren Dahunsi, Randy Palamar, Tyler Henry, Mohammad Rahim Sobhani, Negar Majidi, Joy Wang, Afshin Kashani Ilkhechi, Roger Zemp ยท 2026

High quality structural volumetric imaging is a challenging goal to achieve with modern ultrasound transducers. Matrix probes have limited fields of view and element counts, whereas row-column arrays โ€ฆ

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Engineering Preprint PDF DOI

Large Wireless Foundation Models: Stronger over Bigger

Xiang Cheng, Boxun Liu, Xuanyu Liu, Xuesong Cai ยท 2026

AI-communication integration is widely regarded as a core enabling technology for 6G. Most existing AI-based physical-layer designs rely on task-specific models that are separately tailored to individโ€ฆ

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Engineering Preprint PDF DOI

How Carbon Border Adjustment Mechanism is Energizing the EU Carbon Market and Industrial Transformation

Joseph Nyangon, Brecht Seifi ยท 2026

The global carbon market is fragmented and characterized by limited pricing transparency and empirical evidence, creating challenges for investors and policymakers in identifying carbon management oppโ€ฆ

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Engineering Preprint PDF DOI

A Bezier Curve Based Approach to the Convexification of the AC Optimal Power Flow Problem

Carlos Arturo Saldarriaga-Cortes, Carlos Adrian Correa-Florez, Maximiliano Bueno-Lopez, Maria Victoria Gasca-Segura ยท 2025

The Alternating Current Optimal Power Flow (ACOPF) problem remains one of the most fundamental yet computationally challenging tasks in power systems operation and planning due to its nonconvex, nonliโ€ฆ

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Engineering Preprint PDF DOI

An Open Source Realtime GPU Beamformer for Row-Column and Top Orthogonal to Bottom Electrode (TOBE) Arrays

Randy Palamar, Darren Dahunsi, Tyler Henry, Mohammad Rahim Sobhani, Roger Zemp ยท 2025

Research ultrasound platforms have enabled many next-generation imaging sequences but have lacked realtime navigation capabilities for emerging 2D arrays such as row-column arrays (RCAs). We present aโ€ฆ

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Engineering Preprint PDF DOI

Solving Multiparametric Generalized Nash Equilibrium Problems and Explicit Game-Theoretic Model Predictive Control

Sophie Hall, Alberto Bemporad ยท 2025

We present a method to compute explicit solutions of parametric Generalized Nash Equilibrium (GNE) problems with convex quadratic cost functions and linear coupling and local constraints. Assuming theโ€ฆ

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Engineering Preprint PDF DOI

Hybrid modeling approach for better identification of building thermal network model and improved prediction

Sang woo Ham, Donghun Kim ยท 2025

The gray-box modeling approach, which uses a semi-physical thermal network model, has been widely used in building prediction applications, such as model predictive control (MPC). However, unmeasured โ€ฆ

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Engineering Preprint PDF DOI

Stronger is not better: Better Augmentations in Contrastive Learning for Medical Image Segmentation

Azeez Idris, Abdurahman Ali Mohammed, Samuel Fanijo ยท 2025

Self-supervised contrastive learning is among the recent representation learning methods that have shown performance gains in several downstream tasks including semantic segmentation. This paper evaluโ€ฆ

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Engineering Preprint PDF DOI

Voltage-Based Unsupervised Learning Framework for Bridge Damage Detection in Simultaneous Energy Harvesting and Sensing Systems

S. Yao, P. Peralta-Braz, A. Calderon Hurtado, R. Das, M. M. Alamdari, E. Atroshchenko ยท 2025

In this study, piezoelectric energy harvesters (PEHs) are designed to offer dual functionality in structural health monitoring (SHM): harvesting electric power from bridge vibrations while serving as โ€ฆ

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Engineering Preprint PDF DOI

Surrogate-Based Differentiable Pipeline for Shape Optimization

Andrin Rehmann, Nolan Black, Josiah Bjorgaard, Alessandro Angioi, Andrei Paleyes, Niklas Heim, Dion Hafner, Alexander Lavin ยท 2025

Gradient-based optimization of engineering designs is limited by non-differentiable components in the typical computer-aided engineering (CAE) workflow, which calculates performance metrics from desigโ€ฆ

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Engineering Preprint PDF DOI

Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions

Kaifeng Zhang, Shuo Sha, Hanxiao Jiang, Matthew Loper, Hyunjong Song, Guangyan Cai, Zhuo Xu, Xiaochen Hu, Changxi Zheng, Yunzhu Li ยท 2025

Robotic manipulation policies are advancing rapidly, but their direct evaluation in the real world remains costly, time-consuming, and difficult to reproduce, particularly for tasks involving deformabโ€ฆ

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