A new framework has been developed that enhances robotic manipulation by utilizing pre-trained foundation models, eliminating the need for domain-specific training. This innovative approach combines multimodal perception with a reasoning model for effective task sequencing, all while maintaining dynamic scene graphs for spatial awareness. This advancement is significant as it could lead to more efficient and adaptable robots capable of performing complex tasks in various environments.