Behavior Hierarchy-Based Affordance Map for Recognition of Human Intention and Its Application to Human–Robot Interaction

Author:

Han Ji-Hyeong,Lee Seung-Jae,Kim Jong-HwanORCID

Funder

National Research Foundation of Korea

Korea government (Ministry of Science, ICT and Future Planning)

Technology Innovation Program

Ministry of Trade, Industry and Energy, Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Cited by 18 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. High-Level Human Intention Learning for Cooperative Decision-Making;2024 IEEE Conference on Control Technology and Applications (CCTA);2024-08-21

2. Human Behavior Analysis in Virtual Environment for Human-Robot Collaboration;2023 2nd International Conference on Automation, Robotics and Computer Engineering (ICARCE);2023-12-14

3. Variable Admittance Control in Sliding Mode for Robust Physical Human–Robot Interaction;Applied Sciences;2023-10-12

4. Developing power-assisted two-wheeled luggage-carrying robot for stair-lifting using admittance control;2023 IEEE International Conference on Mechatronics (ICM);2023-03-15

5. Local Tetra Pattern-based Bilateral LPP in Robot Navigation Guidance Systems: A Robust Approach against Vision Sensor Noises;2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON);2022-12-17

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