Target-Dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots

Author:

Ishikawa ShintaroORCID,Sugiura KomeiORCID

Funder

JSPS KAKENHI

JST Moonshot R&D

New Energy and Industrial Technology Development Organization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Robot’s Understanding of Different Concepts and Autonomous Planning;2024 IEEE International Conference on Real-time Computing and Robotics (RCAR);2024-06-24

2. Natural language instructions for intuitive human interaction with robotic assistants in field construction work;Automation in Construction;2024-05

3. Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine;IEEE Robotics and Automation Letters;2024-03

4. Multimodal Diffusion Segmentation Model for Object Segmentation from Manipulation Instructions;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

5. Prototypical Contrastive Transfer Learning for Multimodal Language Understanding;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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