SocialNav-MoE: A Novel Vision-Language Model for Socially Aware Navigation

This research introduces a novel vision-language model, SocialNav-MoE, that leverages a Mixture-of-Experts architecture for socially compliant navigation. The application of reinforcement learning for fine-tuning suggests a potential improvement in real-world navigation tasks.

• •The research focuses on socially compliant navigation using AI.
• •The model utilizes a Mixture-of-Experts (MoE) architecture.
• •Reinforcement learning is employed for fine-tuning the model, potentially improving its performance in real-world scenarios.