ESP32 Robotics Control Platform
The project connects MATLAB/Simulink with IMU sensing, encoder feedback, motor control and self-balancing PID behavior.
View public repository ↗Service 03 / Evidence and test
Repeatable tests.
Defensible results.
We build repeatable tests that connect instruments, data and analysis, so the results are easier to trust and review.
This work is useful when measurements are scattered, a procedure is hard to repeat or the next design decision needs stronger evidence.
Start a technical discussion →01Capabilities
Repeatable work
from raw data.
Automation and acquisition
- Python, MATLAB, Simulink and C/C++ tooling
- Instrument control and automated test sequences
- Data acquisition, CAN logging and encoder logging where applicable
- Repeatable procedures and structured test inputs
- Hardware-in-the-loop or real-time test integration where the system supports it
Analysis and reporting
- Efficiency mapping and operating-point comparison
- Position and velocity error analysis
- Allan deviation and noise-equivalent angle when the data supports it
- Plotting, result review and technical reporting
- Results tied to stated test conditions
02Tools and platforms
Connect the bench
to the evidence.
CodePythonMATLAB / SimulinkC / C++
DataDAQ workflowsCAN / encoder logs
AutomationInstrument controlRepeatable sequences
AnalysisPlots and reportsError and stability analysis
DocumentationTest proceduresHandoff notes
03Typical deliverables
Leave behind
usable evidence.
- Automated test scripts or procedure definitions
- Instrument and data-acquisition configuration notes
- Structured logs, plots and analysis notebooks
- Validation reports with stated conditions
- Prioritized findings for the next test
The evidence depends on the hardware, instrumentation, access and measurement quality available.
04Representative work
Validation across
working systems.
5V / 1A SMPS
Waveform captures and bench validation notes show how measurements were used to review an offline flyback prototype.
View public repository ↗TI Piccolo PMSM dynamometer
The public testbed documents Speedgoat/MATLAB real-time testing, efficiency mapping, validation plots and dual-motor control integration.
View public MTU repository ↗These are public technical projects, not presented as completed client contracts.
05Engagement process
Make the test
worth repeating.
Technical discussion → Evidence and requirements review → Architecture or recovery plan → Implementation → Integration and validation → Documentation and handoff
The process depends on what is already measurable and which decision the test needs to support.
06Good fit
Turn questions
into procedures.
- Automated test setup for an engineering prototype
- Instrument integration and repeatable data collection
- Communications, encoder or control-loop logging
- Technical plots, reports and validation handoff
Not a fit: requests requiring certification this practice does not provide, unsafe testing, or conclusions that the available hardware and evidence cannot support.
Start a technical discussion
Let’s make it
real.
Tell us where the project stands, what you want it to do, when you need it and what technical material is available. Please describe the project first; secure file exchange can follow.
Start a technical discussion →Or write directly: [email protected]