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- W4317383731 abstract "In this paper, we propose RBT-HCI, a reliable behavior tree (BT) planning method with human-computer interaction, aiming at generating an interpretable and human-acceptable BT. Compared with other BT generation methods, RBT-HCI can reliably plan a BT based on the knowledge base. When an available BT cannot be planned automatically, instead of terminating or relaxing the rules, RBT-HCI provides a new idea, which is to make decisions through human-computer interaction, thereby enhancing the reliability and robustness of the method. The effectiveness of RBT-HCI is verified by an example of robot grasping objects, showing that a reliable and robust planning result can be obtained through knowledge-based automatic planning and human-computer interaction." @default.
- W4317383731 created "2023-01-19" @default.
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- W4317383731 date "2022-12-05" @default.
- W4317383731 modified "2023-09-27" @default.
- W4317383731 title "RBT-HCI: A Reliable Behavior Tree Planning Method with Human-Computer Interaction" @default.
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- W4317383731 doi "https://doi.org/10.1109/robio55434.2022.10011651" @default.
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