hiroshi okajima

Associate Professor

Kumamoto University

Japan

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Hiroshi Okajima is an Associate Professor at Kumamoto University in Japan. His research focuses on system identification, robust control, and cooperative transport systems, with recent articles exploring topics such as observer-based feedback controllers and model error compensators. Additionally, he has contributed to the analysis of 3D modeling precision techniques. His work integrates robotics and control theory to enhance system performance in varying environments.

Articles (13)

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2025

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (2)

Tomomichi Hagiwara

Kyoto University

JAPAN

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Nobutomo Matsunaga

Kumamoto University

JAPAN

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hiroshi okajima

Research Interests

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Articles (13)

Cyclic Reformulation-Based System Identification for Periodically Time-Varying Systems

State Observer Under Multi-Rate Sensing Environment and Its Design Using l2-Induced Norm

Navigation System for Personal Mobility Vehicles Following a Cluster of Pedestrians in a Corridor Using Median of Candidate Vectors Observer

Robust Cooperative Transport System with Model Error Compensator Using Multiple Robots with Suction Cups

Design of Observer-Based Feedback Controller for Multi-Rate Systems With Various Sampling Periods Using Cyclic Reformulation

Model Error Compensator for adding Robustness toward Existing Control Systems⋆

Model error compensator design for continuous- and discrete-time non-minimum phase systems with polytopic-type uncertainties

Analysis of Measuring Precision of 3D Model of Ishigaki Stone in Kumamoto Castle Using Automatic CMG Crane System

Analysis of Measuring Precision of 3D Model of Ishigaki Stone in Kumamoto Castle Using Automatic CMG Crane System

A design method of model error compensator for systems with polytopic-type uncertainty and disturbances

Estimation of robust invariant set for switched linear systems using recursive state updating and robust invariant ellipsoid

State estimation method using median of multiple candidates for observation signals including outliers

Development of an automatic picking system for assistive robots using MR

Collaborators (2)

Tomomichi Hagiwara

Nobutomo Matsunaga

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