UnderwaterVLA: Dual-brain Vision-Language-Action architecture for Autonomous Underwater Navigation

E. Bovio, D. Cecchi, and F. Baralli, “Autonomous underwater vehicles for scientific and naval operations,” Annual Reviews in Control , vol. 30, no. 2, pp. 117–130, 2006

2006

Earlier work this paper cites.

M. Stojanovic, “Underwater acoustic communications: Design considerations on the physical layer,” in 2008 Fifth Annual Conference on Wireless on Demand Network Systems and Services . IEEE, 2008, pp. 1–10

2008

Earlier work this paper cites.

T. I. Fossen, Handbook of marine craft hydrodynamics and motion control . John Wiley & Sons, 2011

2011

Earlier work this paper cites.

G. Antonelli, “Underwater robots, volume 96 of springer tracts in advanced robotics,” 2014

2014

Earlier work this paper cites.

J. J. Leonard and A. Bahr, “Autonomous underwater vehicle navigation,” Springer handbook of ocean engineering , pp. 341–358, 2016

2016

Earlier work this paper cites.

Y. Cong, C. Gu, T. Zhang, and Y. Gao, “Underwater robot sensing technology: A survey,” Fundamental Research , vol. 1, no. 3, pp. 337–345, 2021

2021

Earlier work this paper cites.

J. McConnell, I. Collado-Gonzalez, and B. Englot, “Perception for underwater robots,” Current Robotics Reports , vol. 3, no. 4, pp. 177–186, 2022

2022

Earlier work this paper cites.

B. Zhang, D. Ji, S. Liu, X. Zhu, and W. Xu, “Autonomous underwater vehicle navigation: A review,” Ocean Engineering , vol. 273, p. 113861, 2023

2023

Earlier work this paper cites.

W. Lu, K. Cheng, and M. Hu, “Reinforcement learning for autonomous underwater vehicles via data-informed domain randomization,” Applied Sciences , vol. 13, no. 3, p. 1723, 2023

2023

Cited alongside, same era.

Y. Qiao, J. Yin, W. Wang, F. Duarte, J. Yang, and C. Ratti, “Survey of deep learning for autonomous surface vehicles in marine environments,” IEEE Transactions on Intelligent Transportation Systems , vol. 24, no. 4, pp. 3678–3701, 2023

2023

Cited alongside, same era.

C. Lynch, A. Wahid, J. Tompson, T. Ding, J. Betker, R. Baruch, T. Armstrong, and P. Florence, “Interactive language: Talking to robots in real time,” IEEE Robotics and Automation Letters , 2023

2023

Cited alongside, same era.

P. Ding, H. Zhao, W. Zhang, W. Song, M. Zhang, S. Huang, N. Yang, and D. Wang, “Quar-vla: Vision-language-action model for quadruped robots,” in European Conference on Computer Vision . Springer, 2024, pp. 352–367

2024

Cited alongside, same era.

Y. Fan, P. Ding, S. Bai, X. Tong, Y. Zhu, H. Lu, F. Dai, W. Zhao, Y. Liu, S. Huang et al. , “Long-vla: Unleashing long-horizon capability of vision language action model for robot manipulation,” arXiv e-prints , pp. arXiv–2508, 2025

2025

Closest in time.

S. T. Myers, “The vla sky survey (vlass) and beyond: Lessons, challenges, and future surveys,” in 2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM) , 2025, pp. 283–283

2025

Closest in time.

O. Sautenkov, Y. Yaqoot, A. Lykov, M. A. Mustafa, G. Tadevosyan, A. Akhmetkazy, M. A. Cabrera, M. Martynov, S. Karaf, and D. Tsetserukou, “Uav-vla: Vision-language-action system for large scale aerial mission generation,” in 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI) . IEEE, 2025, pp. 1588–1592

2025

Closest in time.

Y. Li, “Vision-language-action models: Foundations, techniques and applications,” in 2025 17th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) , 2025, pp. 174–177