Autonomy Stack

An autonomy stack is a layered software architecture enabling autonomous systems, such as robots and self-driving cars, to perceive their environment, plan actions, and execute them. Current research emphasizes improving the robustness and reliability of these stacks, particularly addressing challenges like out-of-distribution data and the transfer of algorithms between simulation and real-world environments. This involves exploring advanced model architectures, including foundation models and end-to-end learning systems, and developing integrated digital twin frameworks for efficient validation and testing across diverse operational scenarios. The resulting advancements are crucial for accelerating the development and deployment of safe and reliable autonomous systems across various applications.