KUNPENG: An Embodied Large Model for Intelligent Maritime

TL;DR

KUNPENG is a pioneering embodied large AI model designed for intelligent maritime applications, integrating multi-source data perception and autonomous decision-making to enhance navigation safety and efficiency in complex ocean environments.

Contribution

This paper introduces KUNPENG, the first embodied large model for maritime, capable of perceiving diverse data and making autonomous decisions for intelligent vessel navigation.

Findings

Demonstrated excellent performance in maritime task evaluations.

Effectively perceives multi-source heterogeneous data.

Enables autonomous navigation with safety and emergency handling.

Abstract

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.