Ground station
UNO Q integration host
Higher-capability compute for Linux/Python adapters, sensor configuration, analysis, and the operator interface. Current work includes GNSS and TI mmWave connectivity.
Active integrationResearch infrastructure
Platforms for progressive integration.
The laboratory moves from controlled bench tests to distributed nodes and mobile carriers. Each step adds environmental and operational complexity only after the previous interface is understood.
Mobile nodes
UNO R4 WiFi controllers
Embedded nodes intended to host deterministic drivers, acquire local sensor data, and transport normalized messages to the ground station.
Architecture definedRadar
TI IWRL6432BOOST
A 60 GHz mmWave development platform used to investigate presence, ranging, and target-data integration through its XDS110 USB interfaces.
CLI communication verifiedRanging
Slamtec RPLIDAR A1M8
A 360-degree 2D scanning LiDAR available for environmental mapping and later multi-sensor experiments.
Bench verifiedNavigation
SparkFun MAX-M10S
GNSS receiver providing position and platform-state context, including observed satellite, altitude, speed, and heading data.
Valid fixes demonstratedCommunications
RF and Wi-Fi links
NRF24L01+PA+LNA and Wi-Fi are the planned transports between mobile sensor nodes and the UNO Q ground station.
Integration plannedPower
Instrumented power subsystem
USB-C or LiPo-fed distribution with conversion, protection, grounding, and INA260 telemetry treated as a first-class subsystem.
Design developmentVehicle laboratory
Mobile research carriers
RC ground and air vehicles provide progressively demanding environments for packaging, communications, sensing, and autonomy experiments after bench verification.
Available platformsTest philosophy
Bench first. Network second. Mobility third.
This sequence isolates problems, preserves configuration evidence, and keeps a failed mobile demonstration from obscuring whether the root cause is power, interfaces, software, communications, or the physical platform.