Communication protocol defines message formats, transmission rules, addressing schemes, and error-handling procedures that enable robots and computational systems to reliably exchange information over wired or wireless channels.
Semantic Classification
Content
Communication protocols in robotics span hierarchies from low-level field buses directly connecting sensors and actuators to high-level application protocols enabling multi-robot coordination and cloud-robot integration. Protocols such as CAN Bus prioritise deterministic real-time performance for embedded control loops, Ethernet-based protocols like PROFINET serve industrial automation, and IP-based protocols including ROS 2, DDS, and custom RESTful APIs enable flexible distributed architectures with standard networking infrastructure.
The choice of protocol reflects fundamental trade-offs between reliability, latency, bandwidth efficiency, and implementation complexity. Time-critical control loops demand protocols with bounded latency and deterministic scheduling; large-scale swarms require bandwidth-efficient message representations and asynchronous event-driven patterns; and safety-critical systems mandate redundancy, error detection, and formal verification of communication safety properties. Legacy robotic systems often employ proprietary protocols while modern platforms increasingly adopt standardised middleware like ROS and OROCOS that provide protocol-agnostic application interfaces.
Contemporary research addresses Cyber-Physical Security through protocol-level authentication and integrity checking, energy-efficient communication for Battery-Powered Robots, self-healing mesh networks that adapt topology to link failures, and protocols that enable Artificial Intelligence algorithms to operate across distributed robot fleets. 5G and Edge Computing architectures enable lower-latency remote operation, whilst blockchain-based protocols explore decentralised coordination without central brokers.