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๐Ÿ” jeff dalton ๐Ÿ“‚ Engineering
Showing 37 results for "jeff dalton" in Engineering
Engineering Preprint PDF DOI

A Gaussian Process Framework for Outage Analysis in Continuous-Aperture Fluid Antenna Systems

Tuo Wu, Jianchao Zheng ยท 2026

This paper develops a comprehensive analytical framework for the outage probability of fluid antenna system (FAS)-aided communications by modeling the antenna as a continuous aperture and approximatinโ€ฆ

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Engineering Preprint PDF DOI

FastStair: Learning to Run Up Stairs with Humanoid Robots

Yan Liu, Tao Yu, Haolin Song, Hongbo Zhu, Nianzong Hu, Yuzhi Hao, Xiuyong Yao, Xizhe Zang, Hua Chen, Jie Zhao ยท 2026

Running up stairs is effortless for humans but remains extremely challenging for humanoid robots due to the simultaneous requirements of high agility and strict stability. Model-free reinforcement leaโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Analytical-Machine Learning Framework for Ripple Factor Estimation in Cockcroft-Walton Voltage Multipliers with Residual Correction for Non-Ideal Effects

Md. Tanvirul Islam ยท 2025

Cockcroft-Walton (CW) voltage multipliers suffer from output ripple that classical analytical models underestimate due to neglected non-idealities like diode drops and capacitor ESR, particularly in hโ€ฆ

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Engineering Preprint PDF DOI

FALCON: Actively Decoupled Visuomotor Policies for Loco-Manipulation with Foundation-Model-Based Coordination

Chengyang He, Ge Sun, Yue Bai, Junkai Lu, Jiadong Zhao, Guillaume Sartoretti ยท 2025

We present FoundAtion-model-guided decoupled LoCO-maNipulation visuomotor policies (FALCON), a framework for loco-manipulation that combines modular diffusion policies with a vision-language foundatioโ€ฆ

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Engineering Preprint PDF DOI

Dreaming Falcon: Physics-Informed Model-Based Reinforcement Learning for Quadcopters

Eashan Vytla, Bhavanishankar Kalavakolanu, Andrew Perrault, Matthew McCrink ยท 2025

Current control algorithms for aerial robots struggle with robustness in dynamic environments and adverse conditions. Model-based reinforcement learning (RL) has shown strong potential in handling theโ€ฆ

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Engineering Preprint PDF DOI

Fundamental Limits of Cooperative Integrated Sensing and Communications over Low-Earth Orbit THz Satellite Channels

Haofan Dong, Houtianfu Wang, Hanlin Cai, Ozgur B. Akan ยท 2025

Terahertz inter-satellite links enable unprecedented sensing precision for Low Earth Orbit (LEO) constellations, yet face fundamental bounds from hardware impairments, pointing errors, and network intโ€ฆ

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Engineering Preprint PDF DOI

Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming

Nan Li, Jiming Ren, Haris Miller, Samuel Coogan, Karen M. Feigh, Ye Zhao ยท 2025

Multi-Agent Task Assignment and Planning (MATP) has attracted growing attention but remains challenging in terms of scalability, spatial reasoning, and adaptability in obstacle-rich environments. To aโ€ฆ

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Engineering Preprint PDF DOI

Fundamental Limits of THz Inter-Satellite ISAC Under Hardware Impairments

Haofan Dong, Ozgur B. Akan ยท 2025

This paper establishes a theoretical framework for analyzing the fundamental performance limits of terahertz (THz) Low Earth Orbit (LEO) inter-satellite link (ISL) Integrated Sensing and Communicationโ€ฆ

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Engineering Preprint PDF DOI

Balancing the exploration-exploitation trade-off in active learning for surrogate model-based reliability analysis via multi-objective optimization

Jonathan A. Moran, Pablo G. Morato ยท 2025

Reliability assessment of engineering systems often requires repeated evaluations of limit-state functions that may rely on computationally expensive high-fidelity models, rendering direct sampling-baโ€ฆ

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Engineering Preprint PDF DOI

FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation

Yuanhang Zhang, Yifu Yuan, Prajwal Gurunath, Ishita Gupta, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Marcell Vazquez-Chanlatte, Liam Pedersen, Tairan He, Guanya Shi ยท 2025

Humanoid loco-manipulation holds transformative potential for daily service and industrial tasks, yet achieving precise, robust whole-body control with 3D end-effector force interaction remains a majoโ€ฆ

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Engineering Preprint PDF DOI

Ku-Band AlScn-On-Diamond SAW Resonators with Phase Velocity above 8600 m/s

Tzu-Hsuan Hsu, Kapil Saha, Jack Kramer, Omar Barrera, Pietro Simoni, Matteo Rinaldi, Ruochen Lu ยท 2025

In this work, an Aluminum Scandium Nitride (AlScN) on Diamond Sezawa-mode surface acoustic wave (SAW) platform for RF filtering at Ku-band (12-18 GHz) is demonstrated. Thanks to the high acoustic veloโ€ฆ

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Engineering Preprint PDF DOI

Motion Generation for Food Topping Challenge 2024: Serving Salmon Roe Bowl and Picking Fried Chicken

Koki Inami, Masashi Konosu, Koki Yamane, Nozomu Masuya, Yunhan Li, Yu-Han Shu, Hiroshi Sato, Shinnosuke Homma, Sho Sakaino ยท 2025

Although robots have been introduced in many industries, food production robots are yet to be widely employed because the food industry requires not only delicate movements to handle food but also comโ€ฆ

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Engineering Preprint PDF DOI

Falcon: Fast Visuomotor Policies via Partial Denoising

Haojun Chen, Minghao Liu, Chengdong Ma, Xiaojian Ma, Zailin Ma, Huimin Wu, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang ยท 2025

Diffusion policies are widely adopted in complex visuomotor tasks for their ability to capture multimodal action distributions. However, the multiple sampling steps required for action generation signโ€ฆ

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Engineering Preprint PDF DOI

FALCON: Fast Autonomous Aerial Exploration using Coverage Path Guidance

Yichen Zhang, Xinyi Chen, Chen Feng, Boyu Zhou, Shaojie Shen ยท 2024

This paper introduces FALCON, a novel Fast Autonomous expLoration framework using COverage path guidaNce, which aims at setting a new performance benchmark in the field of autonomous aerial exploratioโ€ฆ

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Engineering Preprint PDF DOI

Learning Generalizable Feature Fields for Mobile Manipulation

Ri-Zhao Qiu, Yafei Hu, Yuchen Song, Ge Yang, Yang Fu, Jianglong Ye, Jiteng Mu, Ruihan Yang, Nikolay Atanasov, Sebastian Scherer, Xiaolong Wang ยท 2024

An open problem in mobile manipulation is how to represent objects and scenes in a unified manner so that robots can use both for navigation and manipulation. The latter requires capturing intricate gโ€ฆ

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Engineering Preprint PDF DOI

SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks

Yaniv Cohen, Tomer Gafni, Ronen Greenberg, Kobi Cohen ยท 2024

We consider the problem of dynamic channel allocation (DCA) in cognitive communication networks with the goal of maximizing a global signal-to-interference-plus-noise ratio (SINR) measure under a specโ€ฆ

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Engineering Preprint PDF DOI

Distributed Traffic Signal Control of Interconnected Intersections: A Two-Lane Traffic Network Model

Xinfeng Ru, Ting Bai, Weiguo Xia, Andreas A. Malikopoulos ยท 2024

In this paper, we investigate traffic signal control in a network of interconnected intersections, aiming to balance lane-level vehicle densities through optimal green-time allocation. We develop a twโ€ฆ

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Engineering Preprint PDF DOI

Area and Power Efficient FFT/IFFT Processor for FALCON Post-Quantum Cryptography

Ghada Alsuhli, Hani Saleh, Mahmoud Al-Qutayri, Baker Mohammad, Thanos Stouraitis ยท 2024

Quantum computing is an emerging technology on the verge of reshaping industries, while simultaneously challenging existing cryptographic algorithms. FALCON, a recent standard quantum-resistant digitaโ€ฆ

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Engineering Preprint PDF DOI

Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice

Daniel Kvak, Anna Chromcova, Petra Ovesna, Jakub Dandar, Marek Biros, Robert Hruby, Daniel Dufek, Marija Pajdakovic ยท 2023

In this study, we developed a deep-learning-based automatic detection algorithm (DLAD, Carebot AI CXR) to detect and localize seven specific radiological findings (atelectasis (ATE), consolidation (COโ€ฆ

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Engineering Preprint PDF DOI

Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset

Suba S, Nita Parekh, Ramesh Loganathan, Vikram Pudi, Chinnababu Sunkavalli ยท 2022

Computer tomography (CT) have been routinely used for the diagnosis of lung diseases and recently, during the pandemic, for detecting the infectivity and severity of COVID-19 disease. One of the majorโ€ฆ

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