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Engineering Preprint PDF DOI

Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System

Yifei Wei, Linqing Zhong, Yi Liu, Yuxiang Lu, Xindong He, Maoqing Yao, Guanghui Ren ยท 2026

Vision-Language-Action (VLA) models are a promising paradigm for generalist robotic manipulation by grounding high-level semantic instructions into executable physical actions. However, prevailing appโ€ฆ

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Engineering Preprint PDF DOI

asRoBallet: Closing the Sim2Real Gap via Friction-Aware Reinforcement Learning for Underactuated Spherical Dynamics

Fang Wan, Guangyi Huang, Tianyu Wu, Zishang Zhang, Bangchao Huang, Haoran Sun, Mingdong Chen, Chaoyang Song ยท 2026

We introduce asRoBallet, to the best of our knowledge, the first successful deployment of reinforcement learning (RL) on a humanoid ballbot hardware. Historically, ballbots have served as a canonical โ€ฆ

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An analysis of sensor selection for fruit picking with suction-based grippers

Eva Krueger, Marcus Rosette, Joseph R. Davidson ยท 2026

Robotic fruit harvesting often fails to reliably detect whether a fruit has been successfully picked, limiting efficiency and increasing crop damage. This problem is difficult due to compliant fruit aโ€ฆ

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Engineering Preprint PDF DOI

A Quantitative Framework for Navigating Controller Design Tradeoffs under Computational Constraints

Chris Verhoek, Nikolai Matni ยท 2026

Computational constraints permeate the controller design process, and yet are rarely treated as explicit design constraints. Towards addressing this gap, we propose a quantitative framework that captuโ€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

Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing

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

This study proposes an anomaly-detection framework for monitoring exposure-length variations in submarine free-span cables using Distributed Acoustic Sensing (DAS), which is one of the distributed fibโ€ฆ

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Engineering Preprint PDF DOI

MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives

Tingwu Wang, Olivier Dionne, Michael De Ruyter, David Minor, Davis Rempe, Kaifeng Zhao, Mathis Petrovich, Ye Yuan, Chenran Li, Zhengyi Luo, Brian Robison, Xavier Blackwell, Bernardo Antoniazzi, Xue Bin Peng, Yuke Zhu, Simon Yuen ยท 2026

Despite transformative advances in generative motion synthesis, real-time interactive motion control remains dominated by traditional techniques. In this work, we identify two key challenges in bridgiโ€ฆ

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Engineering Preprint PDF DOI

VEHRON: A Configuration-Driven BEV Simulation Framework for Subsystem-Level Studies

Subramanyam Natarajan ยท 2026

In practical early-stage battery-electric vehicle studies, analysis workflows may become fragmented across spreadsheets, notebooks, and project-specific scripts, making reuse, audit, and extension harโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model

Yiping Liu, Xiaozhe Wang, Geza Joos ยท 2026

Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency regulation. However, exโ€ฆ

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Engineering Preprint PDF DOI

Passage-Aware Structural Mapping for RGB-D Visual SLAM

Ali Tourani, Miguel Fernandez-Cortizas, Saad Ejaz, David Perez Saura, Asier Bikandi-Noya, Jose Luis Sanchez-Lopez, Holger Voos ยท 2026

Doorways and passages are critical structural elements for indoor robot navigation, yet they remain underexplored in modern Visual SLAM (VSLAM) frameworks. This paper presents a passage-aware structurโ€ฆ

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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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Reachability Analysis of the State Transition and State Covariance Matrices for an LTV System

Fengjiao Liu, Yixiao Zhang, Panagiotis Tsiotras ยท 2026

In this paper, we study the reachability of two closely related matrices appearing in the analysis of linear time-varying (LTV) systems over a finite time interval, namely, its closed-loop state transโ€ฆ

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Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation

Yifan Xie, YuAn Wang, Guangyu Chen, Jinkun Liu, Yu Sun, Wenbo Ding ยท 2026

Human videos contain rich manipulation priors, but using them for robot learning remains difficult because raw observations entangle scene understanding, human motion, and embodiment-specific action. โ€ฆ

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Engineering Preprint PDF DOI

Pushing Radar Odometry Beyond the Pavement: Current Capabilities and Challenges

Shaunak Kolhe, Peng Jiang, Maggie Wigness, Philip Osteen, Timothy Overbye, Chrisitan Ellis, Srikanth Saripalli ยท 2026

Radar offers unique advantages for localization in unstructured environments, including robustness to weather, lighting, and airborne particulates. While most prior work has studied radar odometry in โ€ฆ

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Agent-Centric Visual Reinforcement Learning under Dynamic Perturbations

Zhengru Fang, Yu Guo, Fei Liu, Yuang Zhang, Yihang Tao, Senkang Hu, Wenbo Ding, Yuguang Fang ยท 2026

Visual reinforcement learning aims to empower an agent to learn policies from visual observations, yet it remains vulnerable to dynamic visual perturbations, such as unpredictable shifts in corruptionโ€ฆ

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Computational Design and Co-Robotic Fabrication for Material Reuse in Architecture

Arash Adel, Daniel Ruan, Ruxin Xie ยท 2026

Climate change and resource depletion demand a shift from the dominant linear "take-make-use-dispose" paradigm of construction toward circular, low-waste practices. Material reuse offers a promising pโ€ฆ

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Reduced-Order Data Assimilation for Thermospheric Density Using Physics-informed SINDyc Models

Sriram Narayanan, Daniele Sicoli, Piyush Mehta ยท 2026

Accurate estimation of thermospheric mass density is a prerequisite for orbit prediction and space situational awareness, where the upper atmosphere responds nonlinearly to solar and geomagnetic forciโ€ฆ

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Real-time windrow detection from onboard tractor sensors for automated following

Lorenz Gunreben, Nico Heider, Sebastian Zurner, Martin Schieck, Bogdan Franczyk ยท 2026

Proprietary design in commercial windrow-detection systems restricts transparency and limits progress in open autonomous forage-harvesting research. We present a multi-modal dataset combining stereo vโ€ฆ

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MACAW: Matching-free Acquisition of Channels with Anisotropic Wavefronts

Heling Zhang, Shidong Zhou ยท 2026

The escalating data rate demands of future wireless communications necessitate the deployment of extremely large aperture arrays (ELAA) at base stations. In such configurations, wireless channel charaโ€ฆ

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