Princeton Symposium on Safe Deployment of Foundation Models in Robotics

Foundation models such as large language models (LLMs) and vision-language models (VLMs) have showcased remarkable capabilities in areas like commonsense reasoning, planning, and physical understanding. These advancements have paved the way for applying such models in robotics, enabling them to perceive their environment, generate and evaluate potential plans, and even command low-level actions. However, the integration of foundation models in robotics also raises significant challenges, particularly around ensuring the safety and alignment of robotic systems given the black-box nature of these models. This symposium brings together leading experts from both academia and industry to explore the opportunities and challenges of safely incorporating foundation models into robotic systems.