Naoaki Kanazawa

Orcid: 0009-0002-3527-3087

According to our database1, Naoaki Kanazawa authored at least 14 papers between 2022 and 2024.

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Bibliography

2024
Reflex-based open-vocabulary navigation without prior knowledge using omnidirectional camera and multiple vision-language models.
Adv. Robotics, September, 2024

Robotic environmental state recognition with pre-trained vision-language models and black-box optimization.
Adv. Robotics, September, 2024

Real-world cooking robot system from recipes based on food state recognition using foundation models and PDDL.
Adv. Robotics, September, 2024

Continuous Object State Recognition for Cooking Robots Using Pre-Trained Vision-Language Models and Black-Box Optimization.
IEEE Robotics Autom. Lett., May, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Binary State Recognition by Robots using Visual Question Answering of Pre-Trained Vision-Language Model.
CoRR, 2023

Recognition of Heat-Induced Food State Changes by Time-Series Use of Vision-Language Model for Cooking Robot.
CoRR, 2023

Foundation Model based Open Vocabulary Task Planning and Executive System for General Purpose Service Robots.
CoRR, 2023

Semantic Scene Difference Detection in Daily Life Patroling by Mobile Robots Using Pre-Trained Large-Scale Vision-Language Model.
IROS, 2023

VQA-based Robotic State Recognition Optimized with Genetic Algorithm.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Robotic Applications of Pre-Trained Vision-Language Models to Various Recognition Behaviors.
Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

Daily Assistive View Control Learning of Low-Cost Low-Rigidity Robot via Large-Scale Vision-Language Model.
Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

2022
Self-Supervised Learning of Visual Servoing for Low-Rigidity Robots Considering Temporal Body Changes.
IEEE Robotics Autom. Lett., 2022

Learning-Based Wiping Behavior of Low-Rigidity Robots Considering Various Surface Materials and Task Definitions.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022


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