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๐Ÿ” makoto takeuchi ๐Ÿ“‚ Engineering
Showing 23 results for "makoto takeuchi" in Engineering
Engineering Preprint PDF DOI

CaroTo: A Tool for Fast Comprehensive Analysis of Carotid Artery Stenosis in 4D PC- and 3D BB-MRI Data

Hinrich Rahlfs, Markus Hullebrand, Sebastian Schmitter, Jonathan Andrae, Christoph Strecker, Andreas Harloff, Anja Hennemuth ยท 2026

Atherosclerosis of the carotid artery increases stroke risk. Atherosclerosis assessment with MRI requires multimodal and multidimensional segmentation of the carotid artery, reproducible extraction ofโ€ฆ

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Engineering Preprint PDF DOI

MOTO: Topology Optimization for Large Deformations via an Implicit Material Point Method

Rahul Kumar Padhy, Aaditya Chandrasekhar, Krishnan Suresh ยท 2026

The Finite element method (FEM) has long served as the computational backbone for topology optimization (TO). However, for designing structures undergoing large deformations, conventional FEM-based TOโ€ฆ

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Engineering Preprint PDF DOI

MAKO: Meta-Adaptive Koopman Operators for Learning-based Model Predictive Control of Parametrically Uncertain Nonlinear Systems

Minghao Han, Kiwan Wong, Adrian Wing-Keung Law, Xunyuan Yin ยท 2025

In this work, we propose a meta-learning-based Koopman modeling and predictive control approach for nonlinear systems with parametric uncertainties. An adaptive deep meta-learning-based modeling approโ€ฆ

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Engineering Preprint PDF DOI

GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses

Haoxuan Dylan Mu, Mingjian Tang, Wei Gao, Wei "Wayne" Chen ยท 2025

Inverse design is a common yet challenging engineering problem, particularly for nonlinear functional responses such as mechanical behavior or spectral analysis. Deep generative models are motivated bโ€ฆ

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Engineering Preprint PDF DOI

MoTo: A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation

Zhenyu Wu, Angyuan Ma, Xiuwei Xu, Hang Yin, Yinan Liang, Ziwei Wang, Jiwen Lu, Haibin Yan ยท 2025

Mobile manipulation stands as a core challenge in robotics, enabling robots to assist humans across varied tasks and dynamic daily environments. Conventional mobile manipulation approaches often strugโ€ฆ

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Engineering Preprint PDF DOI

RAKOMO: Reachability-Aware K-Order Markov Path Optimization for Quadrupedal Loco-Manipulation

Mattia Risiglione, Abdelrahman Abdalla, Victor Barasuol, Kim Tien Ly, Ioannis Havoutis, Claudio Semini ยท 2025

Legged manipulators, such as quadrupeds equipped with robotic arms, require motion planning techniques that account for their complex kinematic constraints in order to perform manipulation tasks both โ€ฆ

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Engineering Preprint PDF DOI

SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots

Chuhan Zhang, Cong Wang, Wei Pan, Cosimo Della Santina ยท 2025

Inspired by the dynamic coupling of moto-neurons and physical elasticity in animals, this work explores the possibility of generating locomotion gaits by utilizing physical oscillations in a soft snakโ€ฆ

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Engineering Preprint PDF DOI

Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos

Yi Chen, Yuying Ge, Weiliang Tang, Yizhuo Li, Yixiao Ge, Mingyu Ding, Ying Shan, Xihui Liu ยท 2024

Recent developments in Large Language Models pre-trained on extensive corpora have shown significant success in various natural language processing tasks with minimal fine-tuning. This success offers โ€ฆ

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Engineering Preprint PDF DOI

A novel Taguchi-based approach for optimizing neural network architectures: application to elastic short fiber composites

Mohammad Hossein Nikzad, Mohammad Heidari-Rarani, Mohsen Mirkhalaf ยท 2024

This study presents an innovative application of the Taguchi design of experiment method to optimize the structure of an Artificial Neural Network (ANN) model for the prediction of elastic properties โ€ฆ

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Engineering Preprint PDF DOI

Point Processes and spatial statistics in time-frequency analysis

Barbara Pascal, Remi Bardenet ยท 2024

A finite-energy signal is represented by a square-integrable, complex-valued function $t\mapsto s(t)$ of a real variable $t$, interpreted as time. Similarly, a noisy signal is represented by a random โ€ฆ

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Engineering Preprint PDF DOI

Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression

Tam Thuc Do, Philip A. Chou, Gene Cheung ยท 2023

We study 3D point cloud attribute compression via a volumetric approach: assuming point cloud geometry is known at both encoder and decoder, parameters $\theta$ of a continuous attribute function $f: โ€ฆ

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Volumetric 3D Point Cloud Attribute Compression: Learned polynomial bilateral filter for prediction

Tam Thuc Do, Philip A. Chou, Gene Cheung ยท 2023

We extend a previous study on 3D point cloud attribute compression scheme that uses a volumetric approach: given a target volumetric attribute function $f : \mathbb{R}^3 \mapsto \mathbb{R}$, we quantiโ€ฆ

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Engineering Preprint PDF DOI

Data-driven aerodynamic shape design with distributionally robust optimization approaches

Long Chen, Jan Rottmayer, Lisa Kusch, Nicolas R. Gauger, Yinyu Ye ยท 2023

We formulate and solve data-driven aerodynamic shape design problems with distributionally robust optimization (DRO) approaches. Building on the findings of the work \cite{gotoh2018robust}, we study tโ€ฆ

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Engineering Preprint PDF DOI

Optimization of a Commercial Injection-Moulded component by Using DOE and Simulation

Mandana Kariminejad, David Tormey, Saif Huq, Jim Morrison, Jeff Redmond, Carlos Souto, Marion McAfee ยท 2023

Injection moulding is an important industry, providing a significant percentage of the demand for plastic products throughout the world. The process consists of many variables which directly or indireโ€ฆ

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Engineering Preprint PDF DOI

RGB-D Robotic Pose Estimation For a Servicing Robotic Arm

Jared Herron, Daniel Lopez, Jarred Jordan, Jillian Rudy, Aryslan Malik, Daniel Posada, Mehran Andalibi, Troy Henderson ยท 2022

A large number of robotic and human-assisted missions to the Moon and Mars are forecast. NASA's efforts to learn about the geology and makeup of these celestial bodies rely heavily on the use of robotโ€ฆ

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Engineering Preprint PDF DOI

A Low-cost Robot with Autonomous Recharge and Navigation for Weed Control in Fields with Narrow Row Spacing

Yayun Du, Bhrugu Mallajosyula, Deming Sun, Jingyi Chen, Zihang Zhao, Mukhlesur Rahman, Mohiuddin Quadir, Mohammad Khalid Jawed ยท 2021

Modern herbicide application in agricultural settings typically relies on either large scale sprayers that dispense herbicide over crops and weeds alike or portable sprayers that require labor intensiโ€ฆ

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Engineering Preprint PDF DOI

Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impacts

Ahmad Yaser Alhaddad, John-John Cabibihan, Ahmad Hayek, Andrea Bonarini ยท 2019

There is a growing interest in social robots to be considered in the therapy of children with autism due to their effectiveness in improving the outcomes. However, children on the spectrum exhibit chaโ€ฆ

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Engineering Preprint PDF DOI

Numerical modelling of heat transfer and experimental validation in Powder-Bed Fusion with the Virtual Domain Approximation

Eric Neiva, Michele Chiumenti, Miguel Cervera, Emilio Salsi, Gabriele Piscopo, Santiago Badia, Alberto F. Martin, Zhuoer Chen, Caroline Lee, Christopher Davies ยท 2018

Among metal additive manufacturing technologies, powder-bed fusion features very thin layers and rapid solidification rates, leading to long build jobs and a highly localized process. Many efforts areโ€ฆ

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Engineering Preprint PDF DOI

EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge

Zhong Qiu Lin, Audrey G. Chung, Alexander Wong ยท 2018

Despite showing state-of-the-art performance, deep learning for speech recognition remains challenging to deploy in on-device edge scenarios such as mobile and other consumer devices. Recently, there โ€ฆ

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Engineering Preprint PDF DOI

On the Existence and Long-Term Stability of Voltage Equilibria in Power Systems with Constant Power Loads

Alexey S. Matveev, Juan E. Machado, Romeo Ortega, Johannes Schiffer, Anton Pyrkin ยท 2018

Voltage instability is a major threat in power system operation. The growing presence of constant power loads significantly aggravates this issue, hence motivating the development of new analysis methโ€ฆ

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