ROSA (Rover Sequencing & Autonomy) is a comprehensive autonomy framework developed by NASA’s Jet Propulsion Laboratory for space robotics. It features a modular AI planner, constraint-aware scheduler, and built-in simulators that produce validated command sequences for rover operations. Users can define mission objectives, resource constraints, and safety rules; ROSA will generate optimal execution plans, detect conflicts, and support rapid replanning in response to unexpected events. Its plugin architecture allows integration with custom sensors, actuators, and telemetry analysis tools, facilitating end-to-end mission autonomy for planetary exploration.

Azure AI Agent SDK is a comprehensive framework that enables developers to create intelligent, autonomous agents capable of executing complex tasks. It provides a modular architecture including planners, executors, and memory components that work together to assess user intents, plan actions, invoke external APIs or custom tools, and store state persistently. The SDK supports integration with various LLMs, enabling context-aware conversations and decision-making. With built-in telemetry and Azure service connectors, agents can handle error recovery, scale across cloud environments, and maintain secure interactions. Rapid prototyping is facilitated through CLI templates and prebuilt skills, allowing teams to deploy digital workers that automate workflows, enhance customer support, or perform data analysis independently.