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🔍 yuichi yoshida 📂 Engineering 📄 Preprint
Showing 36 results for "yuichi yoshida" in Engineering · Preprint
Engineering Preprint PDF DOI

CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework

Shida Jiang, Shengyu Tao, Zihe Liu, Scott Moura · 2026

The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces complex covariance propagation with simple ensemble statistics. However, conven…

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Engineering Preprint PDF DOI

Design Guidelines for Nonlinear Kalman Filters via Covariance Compensation

Shida Jiang, Jaewoong Lee, Shengyu Tao, Scott Moura · 2026

Nonlinear extensions of the Kalman filter (KF), such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are indispensable for state estimation in complex dynamical systems, yet…

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Engineering Preprint PDF DOI

Vector Certificates for $\omega$-regular Specifications

Mohammed Adib Oumer, Vishnu Murali, Majid Zamani · 2026

The recently introduced notions of ranking functions and closure certificates utilize well-foundedness arguments to facilitate the verification of dynamical systems against $\omega$-regular properties…

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Engineering Preprint PDF DOI

Internalized Morphogenesis: A Self-Organizing Model for Growth, Replication, and Regeneration via Local Token Exchange in Modular Systems

Takeshi Ishida · 2026

This study presents an internalized morphogenesis model for autonomous systems, such as swarm robotics and micro-nanomachines, that eliminates the need for external spatial computation. Traditional se…

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Engineering Preprint PDF DOI

Reinforcement learning with timed constraints for robotics motion planning

Zhaoan Wang, Junchao Li, Mahdi Mohammad, Shaoping Xiao · 2025

Robotic systems operating in dynamic and uncertain environments increasingly require planners that satisfy complex task sequences while adhering to strict temporal constraints. Metric Interval Tempora…

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Engineering Preprint PDF DOI

Rethinking Gaussian-Windowed Wavelets for Damping Identification

Hadi M. Daniali, Martin v. Mohrenschildt · 2025

In modal analysis, the prevalent use of Gaussian-based wavelets (such as Morlet and Gabor) for damping estimation is rarely questioned. In this study, we challenge this conventional approach by system…

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Engineering Preprint PDF DOI

SAGAS: Semantic-Aware Graph-Assisted Stitching for Offline Temporal Logic Planning

Ruijia Liu, Ancheng Hou, Shaoyuan Li, Xiang Yin · 2025

Linear Temporal Logic (LTL) provides a rigorous framework for complex robotic tasks, yet existing methods often rely on accurate dynamics models or expensive online interactions. In this work, we addr…

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Engineering Preprint PDF DOI

AP-observation Automata for Abstraction-based Verification of Continuous-time Systems (Extended Version)

Sasinee Pruekprasert, Clovis Eberhart · 2025

A key challenge in abstraction-based verification and control under complex specifications such as Linear Temporal Logic (LTL) is that abstract models retain significantly less information than their …

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Engineering Preprint PDF DOI

Koopman Spectral Analysis and System Identification for Stochastic Dynamical Systems via Yosida Approximation of Generators

Jun Zhou, Yiming Meng, Jun Liu · 2025

System identification and Koopman spectral analysis are crucial for uncovering physical laws and understanding the long-term behaviour of stochastic dynamical systems governed by stochastic differenti…

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Engineering Preprint PDF DOI

Spatiotemporal Tubes based Controller Synthesis against Omega-Regular Specifications for Unknown Systems

Ratnangshu Das, Aiman Aatif Bayezeed, Pushpak Jagtap · 2025

This paper provides a discretization-free solution to the synthesis of approx-imation-free closed-form controllers for unknown nonlinear systems to enforce complex properties expressed by $\omega$-reg…

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Engineering Preprint PDF DOI

Planning with Linear Temporal Logic Specifications: Handling Quantifiable and Unquantifiable Uncertainty

Pian Yu, Yong Li, David Parker, Marta Kwiatkowska · 2025

This work studies the planning problem for robotic systems under both quantifiable and unquantifiable uncertainty. The objective is to enable the robotic systems to optimally fulfill high-level tasks …

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Engineering Preprint PDF DOI

Strategy Templates for Almost-Sure and Positive Winning of Stochastic Parity Games towards Permissive and Resilient Control

Kittiphon Phalakarn, Sasinee Pruekprasert, Ichiro Hasuo · 2024

Stochastic games are fundamental in various applications, including the control of cyber-physical systems (CPS), where both controller and environment are modeled as players. Traditional algorithms ty…

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Engineering Preprint PDF DOI

Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Weiyi Zhang, Siyu Huang, Jiancheng Yang, Ruoyu Chen, Zongyuan Ge, Yingfeng Zheng, Danli Shi, Mingguang He · 2024

Fundus Fluorescein Angiography (FFA) is a critical tool for assessing retinal vascular dynamics and aiding in the diagnosis of eye diseases. However, its invasive nature and less accessibility compare…

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Engineering Preprint PDF DOI

Mitigating Overconfidence in Nonlinear Kalman Filters via Covariance Recalibration

Shida Jiang, Junzhe Shi, Scott Moura · 2024

The Kalman filter (KF) is an optimal linear state estimator for linear systems, and numerous extensions, including the extended Kalman filter (EKF), unscented Kalman filter (UKF), and cubature Kalman …

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Engineering Preprint PDF DOI

A Physics-informed Demonstration-guided Learning Framework for Granular Material Manipulation

Minglun Wei, Xintong Yang, Yu-Kun Lai, Seyed Amir Tafrishi, Ze Ji · 2024

Due to the complex physical properties of granular materials, research on robot learning for manipulating such materials predominantly either disregards the consideration of their physical characteris…

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Engineering Preprint PDF DOI

Efficient Physically-based Simulation of Soft Bodies in Embodied Environment for Surgical Robot

Zhenya Yang, Yonghao Long, Kai Chen, Wang Wei, Qi Dou · 2024

Surgical robot simulation platform plays a crucial role in enhancing training efficiency and advancing research on robot learning. Much effort have been made by scholars on developing open-sourced sur…

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Engineering Preprint PDF DOI

Fair Beam Allocations through Reconfigurable Intelligent Surfaces

Rujing Xiong, Ke Yin, Tiebin Mi, Jialong Lu, Kai Wan, Robert Caiming Qiu · 2023

A fair beam allocation framework through reconfigurable intelligent surfaces (RISs) is proposed, incorporating the Max-min criterion. This framework focuses on designing explicit beamforming functiona…

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Engineering Preprint PDF DOI

Fast and Adaptive Multi-agent Planning under Collaborative Temporal Logic Tasks via Poset Products

Zesen Liu, Meng Guo, Weimin Bao, Zhongkui Li · 2023

Efficient coordination and planning is essential for large-scale multi-agent systems that collaborate in a shared dynamic environment. Heuristic search methods or learning-based approaches often lack …

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Engineering Preprint PDF DOI

3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan · 2023

Accurate 3D mitochondria instance segmentation in electron microscopy (EM) is a challenging problem and serves as a prerequisite to empirically analyze their distributions and morphology. Most existin…

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Engineering Preprint PDF DOI

Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors

Zixi Chen, Shixin Zhang, Shan Luo, Fuchun Sun, Bin Fang · 2023

Simulation is widely applied in robotics research to save time and resources. There have been several works to simulate optical tactile sensors that leverage either a smoothing method or Finite Elemen…

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