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Are you familiar with Agent Commerce Protocol (ACP)? It’s time to learn the next innovation: Robot Context Protocol (RCP).🧵
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Core Thesis While ACP provides a standardized, secure, and verifiable framework for AI agents to exchange, collaborate, and drive growth, RCP offers a lightweight, middleware-agnostic communication protocol that abstracts robotic system complexity to enable seamless interaction between robots, users, and autonomous agents.
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Its layered architecture includes an Adapter Layer for normalizing diverse client types and a Transport Layer supporting HTTP for stateless requests, WebSocket for real-time bidirectional messaging, and Server-Sent Events for efficient streaming.
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Advantages Unified message format: RCP uses a schema-driven, structured message format that ensures consistent, semantically clear communication across all transports—ideal for introspection and validation.
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Semantic context model: The unified context model abstracts sensors, actuators, and system events into addressable semantic objects and namespaces, simplifying client access in any runtime environment.
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Deep integration of ROS2: Deep ROS2 integration is achieved via adapter modules that map native topics, services, actions, and parameters into RCP’s uniform interface—no middleware changes required.
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High availability and security: Built-in features include runtime introspection, asynchronous feedback, multi-tenant namespace isolation, and strict type validation to ensure robustness, scalability, and security.
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