mlsanityData to 7 Oct 2026

KUNPENG: An Embodied Large Model for Intelligent Maritime

arXiv 2407.09048 ↗First posted 12 Jul 2024cs.AIcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 12 of its 41 references that are in the map. First posted on arXiv 12 Jul 2024.

Builds on

12 of 41 references.

References · 12

  1. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  2. 2021Perceiver IO: A General Architecture for Structured Inputs & Outputscited by 616
  3. 2023Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyondcited by 409
  4. 2023Towards Learning a Generalist Model for Embodied Navigationcited by 135
  5. 2023Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modellingcited by 88
  6. 2023Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigationcited by 74
  7. 2023Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorldcited by 65
  8. 2023OceanGPT: A Large Language Model for Ocean Science Taskscited by 42
  9. 2023Pre-Trained Language-Meaning Models for Multilingual Parsing and Generationcited by 9
  10. 2024OceanPlan: Hierarchical Planning and Replanning for Natural Language AUV Piloting in Large-scale Unexplored Ocean Environmentscited by 7
  11. 2023OceanChat: Piloting Autonomous Underwater Vehicles in Natural Languagecited by 3
  12. 2023Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillancecited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 1.

4 papers.

  1. 2025Llamarine: Open-source Maritime Industry-specific Large Language Modelcited by 4
  2. 2025VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural Languagecited by 1
  3. 2025Multi-Model Synthetic Training for Mission-Critical Small Language Modelscited by 1
  4. 2026Earth Science Foundation Models: From Perception to Reasoning and Discoverycited by 0