@inproceedings{aff19b40450e498db36be47b34959605,
title = "Semantic Knowledge-Based Mission Planning Method According to Robot Characteristics in Outdoor Environment",
abstract = "In the field of robots, many studies have been proposed to introduce advanced cognitive science into robot systems based on existing numerical information. These research directions allow robots to utilize their knowledge to simplify, understand, and efficiently plan their tasks. In this paper, we propose a semantic knowledge-based robot mission planning method in an irregular three-dimensional environment. We introduce an advanced robot mission planning method that defines the knowledge of robots and driving places based on ontology and utilizes the defined semantic knowledge. To this end, we define a robot domain based on Planning Domain Definition Language (PDDL) and solve it through a classical planner to plan the mission. Finally, we validate the suitability of the proposed method by conducting experiments with real-world robots within the campus environment and comparing them with general PDDL-based methods.",
keywords = "Planning domain definition language, Robot mission planning, Semantic knowledge",
author = "Sanghyeon Bae and Junhyeon Choi and Taeyong Kuc and Hyunjin Park and Kwanghee Lee",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 18th International Conference on Intelligent Autonomous Systems, IAS18 2023 ; Conference date: 04-07-2023 Through 07-07-2023",
year = "2024",
doi = "10.1007/978-3-031-44851-5\_28",
language = "English",
isbn = "9783031448508",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "367--377",
editor = "Soon-Geul Lee and Jinung An and Chong, \{Nak Young\} and Marcus Strand and Kim, \{Joo H.\}",
booktitle = "Intelligent Autonomous Systems 18 - Volume 1 Proceedings of the 18th International Conference IAS18-2023",
}