Assessing Vision-Language Models for Perception in Autonomous Underwater Robotic Software

arXiv:2602.10655v2 Announce Type: replace Abstract: Autonomous Underwater Robots (AURs) operate in challenging underwater environments, including low visibility and harsh water conditions. Such conditions present challenges for software engineers developing perception modules ...

🔗 Read more: https://arxiv.org/abs/2602.10655

#News #Robotics #Engineering #Software #Tech #Environment #Academic