Abstract
Offshore platforms in the oil and gas industry require specialized robotic agents to maintain operational efficiency and safety. However, developing and training these agents directly on real-world offshore platforms is both complex and costly. Utilizing simulation environments can streamline this process by allowing agents to learn and interact within a safe and cost-effective virtual space. However, current household simulation environments do not meet the unique requirements of offshore operations. To bridge this gap, we introduce VirtualOffshore, a framework that includes an offshore-specific environment, tasks, and agents designed for this unique setting. This environment features detailed offshore facilities, equipment, and interactive objects. The simulator supports a variety of tasks, including inspection, operation, transportation, and composite tasks. Additionally, we have integrated agents powered by large language models to enhance interaction and problem-solving abilities.
Z. Gu and J. Zhang—Contribute equally to this work.
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References
Sadeghi, K.: An overview of design, analysis, construction and installation of offshore petroleum platforms suitable for cyprus oil/gas fields. GAU J. Soc. Appl. Sci. 2(4), 1–16 (2007)
Amiri, N., Shaterabadi, M., Reza Kashyzadeh, K., Chizari, M.: A comprehensive review on design, monitoring, and failure in fixed offshore platforms. J. Mar. Sci. Eng. 9(12), 1349 (2021)
Paté-Cornell, M.E.: Organizational aspects of engineering system safety: the case of offshore platforms. Science 250(4985), 1210–1217 (1990)
Bogue, R.: Robots in the offshore oil and gas industries: a review of recent developments. Ind. Robot Int. J. Robot. Res. Appl. 47(1), 1–6 (2020)
Graf, B., Pfeiffer, K.: Mobile robotics for offshore automation. In: Proceedings of the EURON/IARP International Workshop on Robotics for Risky Interventions and Surveillance of the Environment, Benicassim, Spain (2008)
Kyrkjebø, E., Liljebäck, P., Transeth, A.: A robotic concept for remote inspection and maintenance on oil platforms. In: International Conference on Offshore Mechanics and Arctic Engineering, vol. 43413, pp. 667–674 (2009)
Chen, H., Stavinoha, S., Walker, M., Zhang, B., Fuhlbrigge, T.: Opportunities and challenges of robotics and automation in offshore oil & gas industry. Intell. Control Autom. 5, 136–145 (2014)
Deitke, M., et al.: RoboTHOR: an open simulation-to-real embodied AI platform. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3164–3174 (2020)
Duan, J., Yu, S., Tan, H.L., Zhu, H., Tan, C.: A survey of embodied AI: from simulators to research tasks. IEEE Trans. Emerg. Topics Comput. Intell. 6(2), 230–244 (2022)
Li, C., et al.: IGibson 2.0: object-centric simulation for robot learning of everyday household tasks. In: Conference on Robot Learning, pp. 455–465 (2022)
Gao, X., Gong, R., Shu, T., Xie, X., Wang, S., Zhu, S.-C.: VRKitchen: an interactive 3D virtual environment for task-oriented learning. arXiv preprint arXiv:1903.05757 (2019)
Fan, L., et al.: MineDojo: building open-ended embodied agents with Internet-scale knowledge. Adv. Neural. Inf. Process. Syst. 35, 18343–18362 (2022)
Durante, Z., et al.: Agent AI: surveying the horizons of multimodal interaction. arXiv preprint arXiv:2401.03568 (2024)
Huang, X., et al.: Understanding the planning of LLM agents: a survey. arXiv preprint arXiv:2402.02716 (2024)
Ahn, M., et al.: Do as I Can, Not as I Say: grounding language in robotic affordances. In: Conference on Robot Learning, 2204.01691 (2022)
Puig, X., et al.: VirtualHome: simulating household activities via programs. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 8494–8502 (2018)
Carvalho, F., Raposo, A., Santos, I., Galassi, M.: Virtual reality techniques for planning the offshore robotizing. In: 2014 12th IEEE International Conference on Industrial Informatics (INDIN), pp. 353–358 (2014)
Pairet, È., Ardón, P., Liu, X., Lopes, J., Hastie, H., Lohan, K.S.: A digital twin for human-robot interaction. In: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), p. 372 (2019)
Acknowledgments
This research was supported by National Natural Science Foundation of China (Grant No. U21A20488) and Key Research Project of Zhejiang Lab (Grant No. G2021N-B0AL03).
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Gu, Z., Zhang, J., Tang, L., Liang, Q., Song, W., Zhu, S. (2024). VirtualOffshore: An Interactive 3D Offshore Environment for Embodied Agents. In: Huang, DS., Zhang, X., Zhang, C. (eds) Advanced Intelligent Computing Technology and Applications. ICIC 2024. Lecture Notes in Computer Science(), vol 14879. Springer, Singapore. https://doi.org/10.1007/978-981-97-5675-9_12
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DOI: https://doi.org/10.1007/978-981-97-5675-9_12
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