Acknowledgement
본 연구는 국토교통부 디지털 기반 건축시공 및 안전감리 기술 개발 사업의 연구비지원(과제고유번호: 1615012983)에 의해 수행되었습니다.
References
- J. Fan, Z. Pai, and L. Shufei, "Vision-based holistic scene understanding towards proactive human-robot collaboration," Robotics and Computer-Integrated Manufacturing, vol. 75, pp. 102304, 2022.
- J. Y, Moon, J. H, Moon, and S. H. Bea., "Control for Manipulator of an Underwater Robot Using Meta Reinforcement Learning," J. of The Korea Institute of Electronic Communication Sciences, 2021, vol. 16, no. 1, pp. 95-100.
- Y. P. Lee, Y. S. Moon, N. Y. Ko, H. T. Choi, J. G. Lee, and Y. C. Bae, "Estimation Technique of Time Difference of Acoustic Signal by phase delay in Underwater Environments," J. of The Korea Institute of Electronic Communication Sciences, 2016, vol. 11, no. 4, pp. 365-372. https://doi.org/10.13067/JKIECS.2016.11.4.365
- B. Kim, J. Park, S. Han, and K. Kim, "An Artificial Inteligent based Learning Model for BIM Elements Usage," J. of The Korea Institute of Electronic Communication Sciences, 2023 vol. 18, no. 1, pp. 107-114.
- M. Zhang, R. Xu, H. Wu, J. Pan, X. Luo, "Human-robot collaboration for on-site construction," Automation in Construction, 2023, vol. 150, pp. 104812.
- S. Karimi, I. Iordanova, and D. St-Onge, "An ontology-based approach to data exchanges for robot navigation on construction sites," arXiv preprint arXiv:2104.10239, 2021.
- J. Fan, Z. Pai, and L. Shufei, "Vision-based holistic scene understanding towards proactive human-robot collaboration," Robotics and Computer-Integrated Manufacturing, vol. 75, 2022, pp. 102304.
- J. Webber, "A programmatic introduction to neo4j," In proceedings of the 3rd annual conference on Systems, programming, and applications: software for humanity, 2012., pp. 217-218.
- H. A. Geffner, "PDDL 2.1: Representation vs. computation," Journal of Artificial Intelligence Research, vol. 20, pp, 139-144, 2003. https://doi.org/10.1613/jair.1995
- M.. Fox and D. Long. "PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains," Journal of Artificial Intelligence Research, AI Access Foundation, December 1, 2003.