Masato Kobayashi

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Assistant Professor

Osaka University

Japan

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About

Masato Kobayashi is an Assistant Professor at Osaka University in Japan. His research areas include mixed reality interfaces, user-centric technologies for virtual reality, and robotics, particularly in the domains of imitation learning and dual-arm manipulation. He has recently published articles addressing innovative navigation techniques for robots and user needs in virtual environments. His contributions also explore advanced control methods in robotic systems and disaster image analysis.

Recent Grants

Grant: Close

IEEJ International Conference Travel Grant

Open Date: 2018-10-01

Close Date: 2018-10-01

Articles (22)

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2020

Collaborators (2)

Naoki Motoi

Kobe University

JAPAN

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Haruo Takemura

Osaka University

JAPAN

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Masato Kobayashi

Research Interests

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About

Recent Grants

Articles (22)

User-Centric Locomotion Techniques for Virtual Reality Games: A Survey of User Needs and Issues

MRNaB: mixed reality-based robot navigation interface using optical-see-through MR-beacons

ALPHA- α and Bi-ACT Are All You Need: Importance of Position and Force Information/ Control for Imitation Learning of Unimanual and Bimanual Robotic Manipulation With Low-Cost System

BSL: Navigation Method Considering Blind Spots Based on ROS Navigation Stack and Blind Spots Layer for Mobile Robot

BSL: Navigation Method Considering Blind Spots Based on ROS Navigation Stack and Blind Spots Layer for Mobile Robot

Identifying Disaster Regions in Images Through Attention Shifting with a Retarget Network

バイラテラル制御における周波数修正法の有効性検証

User-Centric Locomotion Techniques for Virtual Reality Games: A Survey of User Needs and Issues

ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with Transformer

Local Path Planning: Dynamic Window Approach With Q-Learning Considering Congestion Environments for Mobile Robot

Path Planning for Mobile Robot Considering Turnabouts on Narrow Road by Deep Q-Network

LfDT: Learning Dual-Arm Manipulation from Demonstration Translated from a Human and Robotic Arm

Experimental Verification of Underwater 2-ch Bilateral Controller with Disturbance Observer

Experimental Verification of Underwater 2-ch Bilateral Controller with Disturbance Observer

DQDWA: Dynamic Weight Coefficients Based on Q-learning for Dynamic Window Approach Considering Environmental Situations

Local Path Planning with Turnabouts for Mobile Robot by Deep Deterministic Policy Gradient

Local Path Planning with Turnabouts for Mobile Robot by Deep Deterministic Policy Gradient

Remote-Controlled Method with Force and Visual Assists Based on Time to Collision for Mobile Robot

Remote-Controlled Method with Force and Visual Assists Based on Time to Collision for Mobile Robot

Local Path Planning: Dynamic Window Approach With Virtual Manipulators Considering Dynamic Obstacles

Local Path Planning Method Considering Blind Spots Based on Cost Map for Wheeled Mobile Robot

Hybrid Control of Trajectory Planning for Desired Trajectory and Collision Avoidance Based on Optimization Problem for a Wheeled Mobile Robot

Collaborators (2)

Naoki Motoi

Haruo Takemura

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