Flutter Robotics Guide Covers Bounded Queues, Load Shedding and Priority Channels

This advanced tutorial positions Flutter as the operator-facing layer, with wearable SDKs, Jetson services, ROS 2 nodes, and NVIDIA-accelerated inference handling device-specific and compute-heavy tasks. Its main goals are predictable latency, bounded memory, useful observability, and graceful degradation rather than maximizing message throughput. It stresses that safety-critical control loops should stay on the robot, since a Flutter app is not a hard real-time controller. The guide recommends tracking metrics such as freshness, end-to-end latency, frame pacing, and dropped messages, and profiling on physical hardware in profile mode. It also advises using latest-value caches, bounded queues with defined overflow policies, and separate reliable paths for commands and alarms.