VLN Ce

Vision-and-Language Navigation in Continuous Environments (VLN-CE) focuses on enabling AI agents to navigate real-world or virtual environments by following natural language instructions. Current research emphasizes improving robustness by addressing issues like inaccurate or incomplete instructions, developing methods for error detection and localization within instructions, and employing advanced architectures such as transformer networks and world models to enhance planning and decision-making capabilities. This research contributes to advancements in embodied AI, with potential applications in robotics, virtual assistants, and accessible web browsing.