Learning Personalized Human-Aware Robot Navigation Using Virtual Reality Demonstrations from a User Study
Author:
Affiliation:
1. University of Bonn,Germany
2. Fraunhofer FKIE,Bonn,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9900506/9900507/09900554.pdf?arnumber=9900554
Reference27 articles.
1. Reinforcement learning with human teachers: Evidence of feedback and guidance with implications for learning performance;thomaz,0
2. A survey on human-aware robot navigation
3. Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods
4. Human-Aware Robot Navigation Based on Learned Cost Values from User Studies
5. Teaching Robot Navigation Behaviors to Optimal RRT Planners
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1. Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. Subgoal-Driven Navigation in Dynamic Environments Using Attention-Based Deep Reinforcement Learning;2023 21st International Conference on Advanced Robotics (ICAR);2023-12-05
3. Autonomous UAV Navigation in Complex Environments using Human Feedback;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28
4. Learning User-Preferred Robot Navigation Based on Social Force Model from Human Feedback in Virtual Reality Environments;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28
5. Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29
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