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๐Ÿ” joseph abate ๐Ÿ“‚ Engineering
Showing 45 results for "joseph abate" in Engineering
Engineering Preprint PDF DOI

Egocentric Tactile and Proximity Sensors as Observation Priors for Humanoid Collision Avoidance

Carson Kohlbrenner, Niraj Pudasaini, William Xie, Naren Sivagnanadasan, Nikolaus Correll, Alessandro Roncone ยท 2026

Collision-free motion is often aided by tactile and proximity sensors distributed on the body of the robot due to their resistance to occlusion as opposed to external cameras. However, how to shape thโ€ฆ

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Engineering Preprint PDF DOI

Adaptive Learned State Estimation based on KalmanNet

Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag, Florian Geiss, Mirko Mahlisch ยท 2026

Hybrid state estimators that combine model-based Kalman filtering with learned components have shown promise on simulated data, yet their performance on real-world automotive data remains insufficientโ€ฆ

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Engineering Preprint PDF DOI

What Matters for Simulation to Online Reinforcement Learning on Real Robots

Yarden As, Dhruva Tirumala, Rene Zurbrugg, Chenhao Li, Stelian Coros, Andreas Krause, Markus Wulfmeier ยท 2026

We investigate what specific design choices enable successful online reinforcement learning (RL) on physical robots. Across 100 real-world training runs on three distinct robotic platforms, we systemaโ€ฆ

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Engineering Preprint PDF DOI

Articulated 3D Scene Graphs for Open-World Mobile Manipulation

Martin Buchner, Adrian Rofer, Tim Engelbracht, Tim Welschehold, Zuria Bauer, Hermann Blum, Marc Pollefeys, Abhinav Valada ยท 2026

Semantics has enabled 3D scene understanding and affordance-driven object interaction. However, robots operating in real-world environments face a critical limitation: they cannot anticipate how objecโ€ฆ

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Engineering Preprint PDF DOI

Rethinking Visual-Language-Action Model Scaling: Alignment, Mixture, and Regularization

Ye Wang, Sipeng Zheng, Hao Luo, Wanpeng Zhang, Haoqi Yuan, Chaoyi Xu, Haiweng Xu, Yicheng Feng, Mingyang Yu, Zhiyu Kang, Zongqing Lu, Qin Jin ยท 2026

While Vision-Language-Action (VLA) models show strong promise for generalist robot control, it remains unclear whether -- and under what conditions -- the standard "scale data" recipe translates to roโ€ฆ

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Engineering Preprint PDF DOI

GLUE: Coordinating Pre-Trained Generative Models for System-Level Design

Tim Aebersold, Soheyl Massoudi, Mark D. Fuge ยท 2025

Engineering complex systems (aircraft, buildings, vehicles) requires coordinating geometric and performance couplings across subsystems. As generative models proliferate for specialized domains, a keyโ€ฆ

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Engineering Preprint PDF DOI

Direct transfer of optimized controllers to similar systems using dimensionless MPC

Josip Kir Hromatko, Shambhuraj Sawant, Sandor Iles, Sebastien Gros ยท 2025

Scaled model experiments are commonly used in various engineering fields to reduce experimentation costs and overcome constraints associated with full-scale systems. The relevance of such experiments โ€ฆ

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Engineering Preprint PDF DOI

Exploring Urban Air Mobility Adoption Potential in San Francisco Bay Area Region: A Systems of Systems Level Case Study on Passenger Waiting Times and Travel Efficiency

Winfrey Paul Sagayam Dennis ยท 2025

Urban Air mobility has gained momentum with recent advancements in the electric vertical take-off and landing (eVTOL) vehicles, offering faster point-to-point air taxi services that could help relieveโ€ฆ

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Engineering Preprint PDF DOI

Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations

Irmak Guzey, Haozhi Qi, Julen Urain, Changhao Wang, Jessica Yin, Krishna Bodduluri, Mike Lambeta, Lerrel Pinto, Akshara Rai, Jitendra Malik, Tingfan Wu, Akash Sharma, Homanga Bharadhwaj ยท 2025

Learning multi-fingered robot policies from humans performing daily tasks in natural environments has long been a grand goal in the robotics community. Achieving this would mark significant progress tโ€ฆ

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Engineering Preprint PDF DOI

Scaling green hydrogen and CCUS via cement-methanol co-production in China

Yuezhang He, Hongxi Luo, Yuancheng Lin, Carl J. Talsma, Anna Li, Zhenqian Wang, Yujuan Fang, Pei Liu, Jesse D. Jenkins, Eric Larson, Zheng Li ยท 2025

High costs of green hydrogen and of carbon capture, utilization, and sequestration (CCUS) have hindered policy ambition and slowed real-world deployment, despite their importance for decarbonizing harโ€ฆ

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Engineering Preprint PDF DOI

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

Ruihan Yang, Qinxi Yu, Yecheng Wu, Rui Yan, Borui Li, An-Chieh Cheng, Xueyan Zou, Yunhao Fang, Xuxin Cheng, Ri-Zhao Qiu, Hongxu Yin, Sifei Liu, Song Han, Yao Lu, Xiaolong Wang ยท 2025

Real robot data collection for imitation learning has led to significant advancements in robotic manipulation. However, the requirement for robot hardware in the process fundamentally constrains the sโ€ฆ

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Engineering Preprint PDF DOI

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification

Hassan Mortada, Cyril Falcon, Yanis Kahil, Matheo Clavaud, Jean-Philippe Michel ยท 2025

State estimation in stochastic dynamical systems with noisy measurements is a challenge. While the Kalman filter is optimal for linear systems with independent Gaussian white noise, real-world conditiโ€ฆ

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Engineering Preprint PDF DOI

Numerical optimization of aviation decarbonization scenarios: balancing traffic and emissions with maturing energy carriers and aircraft technology

Ian Costa-Alves (ISAE-SUPAERO), Nicolas Gourdain (ISAE-SUPAERO), Francois Gallard, Anne Gazaix, Yri Amandine Kambiri (ISAE-SUPAERO, ENAC), Thierry Druot (ENAC) ยท 2025

Despite being considered a hard-to-abate sector, aviation's emissions will play an important role in long-term climate mitigation of transportation. The introduction of low-carbon energy carriers and โ€ฆ

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Engineering Preprint PDF DOI

Scaling Rich Style-Prompted Text-to-Speech Datasets

Anuj Diwan, Zhisheng Zheng, David Harwath, Eunsol Choi ยท 2025

We introduce Paralinguistic Speech Captions (ParaSpeechCaps), a large-scale dataset that annotates speech utterances with rich style captions. While rich abstract tags (e.g. guttural, nasal, pained) hโ€ฆ

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Engineering Preprint PDF DOI

Newton Methods in Generalized Nash Equilibrium Problems with Applications to Game-Theoretic Model Predictive Control

Mushuang Liu, Ilya Kolmanovsky ยท 2024

We prove input-to-state stability (ISS) of perturbed Newton-type methods for generalized equations arising from Nash equilibrium (NE) and generalized NE (GNE) problems. This ISS property allows the usโ€ฆ

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Engineering Preprint PDF DOI

Role of hydrogen in decarbonizing China's electricity and hard-to-abate sectors

Haozhe Yang, Gang He, Eric Masanet, Ranjit Deshmukh ยท 2024

Green hydrogen has the potential to address two pressing problems in a zero-carbon energy system: balancing seasonal variability of solar and wind in the electricity sector, and replacing fossil fuelsโ€ฆ

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Engineering Preprint PDF DOI

Magnetic Ball Chain Robots for Cardiac Arrhythmia Treatment

Giovanni Pittiglio, Fabio Leuenberger, Margherita Mencattelli, Max McCandless, Edward O'Leary, Pierre E. Dupont ยท 2024

This paper introduces a novel magnetic navigation system for cardiac ablation. The system is formed from two key elements: a magnetic ablation catheter consisting of a chain of spherical permanent magโ€ฆ

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Engineering Preprint PDF DOI

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control

Zichen Jeff Cui, Hengkai Pan, Aadhithya Iyer, Siddhant Haldar, Lerrel Pinto ยท 2024

Imitation learning has proven to be a powerful tool for training complex visuomotor policies. However, current methods often require hundreds to thousands of expert demonstrations to handle high-dimenโ€ฆ

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Engineering Preprint PDF DOI

Energy versus Output Quality of Non-volatile Writes in Intermittent Computing

Rei Barjami, Antonio Miele, Luca Mottola ยท 2024

We explore how to improve the energy performance of battery-less Internet of Things (IoT) devices at the cost of a reduction in the quality of the output. Battery-less IoT devices are extremely resourโ€ฆ

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Engineering Preprint PDF DOI

Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking

Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien ยท 2024

The prevailing grasp prediction methods predominantly rely on offline learning, overlooking the dynamic grasp learning that occurs during real-time adaptation to novel picking scenarios. These scenariโ€ฆ

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