KUNPENG: An Embodied Large Model for Intelligent Maritime
This work addresses the problem of enhancing efficiency and safety in maritime operations for smart ocean construction, representing a novel domain-specific application.
The authors tackled the challenge of real-time decision-making in intelligent maritime by proposing KUNPENG, an embodied large model that integrates multi-source data for autonomous navigation and optimization, achieving excellent performance in comprehensive evaluations.
Intelligent maritime, as an essential component of smart ocean construction, deeply integrates advanced artificial intelligence technology and data analysis methods, which covers multiple aspects such as smart vessels, route optimization, safe navigation, aiming to enhance the efficiency of ocean resource utilization and the intelligence of transportation networks. However, the complex and dynamic maritime environment, along with diverse and heterogeneous large-scale data sources, present challenges for real-time decision-making in intelligent maritime. In this paper, We propose KUNPENG, the first-ever embodied large model for intelligent maritime in the smart ocean construction, which consists of six systems. The model perceives multi-source heterogeneous data for the cognition of environmental interaction and make autonomous decision strategies, which are used for intelligent vessels to perform navigation behaviors under safety and emergency guarantees and continuously optimize power to achieve embodied intelligence in maritime. In comprehensive maritime task evaluations, KUNPENG has demonstrated excellent performance.