MindMesh LLC

MindMesh LLC / Independent R&D lab

Independent
research &
development.

MindMesh develops and tests integrated hardware and software research systems. Current work spans non-contact sensing, edge processing, real-time telemetry, and simulation.

Examine developed systems

HARDWARE / FIRMWARE / SOFTWARE

RESEARCH SYSTEMS / COMPONENT MAPMM — 01
01 / RADAR + RANGING PROTOTYPEDEVELOPED COMPONENTS
INPUT Radar + UWB IWR6843AOP
2 × DWM3001CDK
PROCESS Parse + fuse TLV / JSON
weighted range fusion
VIEW Serial viewer Electron / Three.js
IPC bridge
02 / RELATED LATER WORKEDGE + SIMULATION
NVIDIA Jetson FastAPI + MQTT Gazebo / ROS 2 / Three.js
Component groups represent distinct development stages.

01 / RESEARCH AREAS

Current technical focus

MindMesh investigates the systems that connect physical signals to usable software. These areas describe current work while the lab remains open to new research directions.

01

Sensing & measurement

mmWave radar, UWB two-way ranging, data acquisition, and configurable range fusion in prototype work.

RADAR / UWB
02

Edge software

Local-first processing, real-time telemetry, and device messaging around embedded compute.

JETSON / FASTAPI / MQTT
03

Simulation & testing

Browser-based visualization, digital-twin development, automated tests, and CI.

GAZEBO / ROS 2 / THREE.JS

02 / DEVELOPED SYSTEMS

Developed systems & prototypes

Related work within a non-contact monitoring research program, developed across separate stages.

SYSTEM / 01

RADAR + RANGING PROTOTYPE

Radar/UWB range-fusion prototype

A prototype brings mmWave radar and two-way UWB ranging into a desktop research workflow with configurable weighting and disagreement flags.

Hardware
TI IWR6843AOP radar and two Qorvo DWM3001CDK UWB devices.
Data handling
mmWave TLV binary parser, UWB JSON parser, and USB time-multiplexer.
Fusion
Configurable weighted-average range fusion with a disagreement-threshold flag.
Visualization
Custom Electron/Three.js serial viewer connected through an Electron IPC bridge.
SYSTEM / 02

EDGE SOFTWARE + SIMULATION

Local-first monitoring workstream

Later research includes a mmWave and NVIDIA Jetson elderly-care monitoring prototype, with related telemetry infrastructure and simulation work.

Edge services
Python/FastAPI real-time telemetry APIs and AI workflows.
Messaging
MQTT links sensors, processing, and device commands, with reconnect, backpressure, and tracing.
Local stack
Mosquitto, InfluxDB, and an on-premises LLM edge stack.
Simulation
Browser digital twin using Gazebo, ROS 2, Three.js, and MQTT for simulation and monitoring.
RESEARCH STATUS

The elderly-care monitoring work remains a research prototype. It is not a clinically validated product.

03 / ENGINEERING

Engineering & testing

Research systems depend on careful device integration, software interfaces, and repeatable development work.

01 / BRING-UP

Device tooling

TI UniFlash CLI tooling for radar bring-up, alongside serial acquisition and device integration.

02 / INTERFACES

Data paths

TLV and JSON parsers, USB time-multiplexing, Electron IPC, FastAPI telemetry, and MQTT transport.

03 / RELIABILITY

Software practices

Reconnect, backpressure, and tracing in MQTT workflows, plus Docker, automated tests, and CI.

04 / SIMULATION

Digital twin

Gazebo, ROS 2, Three.js, and MQTT support browser-based simulation and monitoring work.

04 / CONTACT

Research enquiries

For research discussions and technical enquiries, connect with MindMesh on LinkedIn.

Connect on LinkedIn