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.
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
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