R2COR2

R2COR2 is a term used in academic and industry discourse to refer to a second-generation framework for integrating reactive control with cognitive reasoning in autonomous systems. The name is not tied to a single, canonical implementation; instead, it has been adopted by multiple groups to describe architectures that fuse real-time responsiveness with higher-level decision making. In commonly described variants, R2COR2 emphasizes modularity, interoperability, and clear separation of concerns between perception, planning, learning, and actuation.

Architecture and features: R2COR2-based designs typically rely on layered or decoupled architectures. Perception modules generate state estimates; a cognitive layer runs planning, goal-directed inference, and model-based reasoning; a reactive layer handles low-level control and safety constraints in real time. Communication is often mediated by middleware or message buses, enabling asynchronous updates and fault isolation. Additional features include simulation capabilities, formal safety properties, and explainable planning outputs.

Applications: Proposed uses include industrial automation, service robots, autonomous vehicles, and research platforms. R2COR2 is discussed as a framework for combining fast reflexive control with deliberative planning, particularly in dynamic or uncertain environments.

Development and status: Because R2COR2 is not a standardized technology, implementations vary widely. It appears in conference papers and project proposals as a framework rather than a specific product. Critics note integration challenges, potential performance overhead, and verification complexity when merging reactive and cognitive components.

See also: autonomous systems architecture, cognitive robotics, robotics middleware.