01
PRECISION ENGINEERING

ZYVRIX

A ROBOTICS CONTROL PLATFORM

An open, research-grade stack for developing and validating robust control algorithms under real-world constraints.

Native C++ CoreReal-Time SolversUR5e Integration
zyvrix_control_panel.exe
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ROBOT CONTROL

Joint ConfigFK MODE
Base0.0°
Shoulder-90.0°
Elbow90.0°
Wrist 1-90.0°
Wrist 2-90.0°
Wrist 30.0°

UR5e COBOT

STATUSONLINE
PING12ms
MODEREMOTE
Zyvrix Interface
02

Bridging theory with
industrial performance.

0+
YEARSINDUSTRIAL ROBOTICS
Ph.D.
RESEARCHCONTROL SYSTEMS
PROD
GRADEREAL-TIME EXECUTION
Verified
DETERMINISTIC ARCHITECTURE

Reliable Real-time Execution

Architecting deterministic RTOS environments (Zephyr/FreeRTOS) to guarantee microsecond-precision task scheduling and fault-tolerant coordination in safety-critical systems.

RTOSZephyrSafety-Critical
Optimized
CONTROL THEORY & KINEMATICS

Precision Motion & Dynamics

Implementing robust control algorithms and kinematic solvers to achieve sub-millimeter accuracy, vibration suppression, and stable dynamic response under varying loads.

FOCMPCDynamics
Production
SCALABLE FIRMWARE PATTERNS

Maintainable System Design

Employing modular software architectures and rigorous design patterns to ensure scalability, seamless integration, and long-term codebase maintainability.

OOPCI/CDDesign Patterns
03

Technical expertise
architected for scale.

DETERMINISTIC RTOS

Real-time Firmware Architecture

Architecting deterministic firmware for ARM Cortex-M (STM32) utilizing ZephyrRTOS & FreeRTOS to ensure precise millisecond-level task execution.

ZephyrFreeRTOSSTM32
SYSTEM EFFICIENCY

Embedded Resource Optimization

Maximizing performance in constrained environments by optimizing memory footprints and implementing robust storage solutions (QSPI, MCUboot).

MCUbootQSPIFlash
ALGORITHMIC PRECISION

Advanced Control Strategies

Deploying sophisticated control algorithms (e.g., Prescribed Performance Control) and S-curve motion planning for synchronized multi-agent systems.

PPCS-CurveKinematics
THEORETICAL MODELING

Research & Innovation

Advancing control theory through Ph.D. research—bridging theoretical modeling, rigorous simulation, and real-world experimental validation.

MATLABSimulationControl
ROOT CAUSE ANALYSIS

Systems Analysis & Debugging

Diagnosing complex hardware-software integration challenges, resolving timing anomalies, race conditions, and memory corruption issues.

GDBOscilloscopeFaults
CI/CD PIPELINES

DevOps & Automation

Engineering robust CI/CD pipelines (GitHub Actions) and automating testing workflows with Python/Bash to accelerate deployment cycles.

ActionsPyTestDocker
ROBUST CONNECTIVITY

Industrial Protocol Integration

Ensuring reliable inter-device communication via robust implementation of CAN/CAN-FD, CANopen, I2C, SPI, and UART protocols.

CANopenI2C/SPIUART
END-TO-END DELIVERY

Full-Lifecycle Engineering

Leading end-to-end development from architectural design (UML) and requirements analysis to production-grade C/Python implementation.

UMLAgileC/Python
04

Systematic approach
to complex challenges.

01
ZephyrRTOS • FreeRTOS • ARM Cortex-M

Real-Time Firmware

Implementing deterministic embedded systems where timing guarantees are enforced by rigorous RTOS scheduling policies.

C/C++RTOSHAL
VIEW_BLUEPRINT
02
GitHub Actions • Automated Testing

CI/CD Pipeline

Enforcing quality standards via automated build pipelines, static analysis, and regression testing suites before every merge.

GitCI/CDTesting
VIEW_BLUEPRINT
03
HIL Testing • Validation

Hardware-in-Loop

Validating firmware logic against physical plant models in real-time to ensure safety and performance prior to deployment.

HILSimulationValidation
VIEW_BLUEPRINT
04
PID • MPC • Prescribed Performance

Control Systems

Designing closed-loop control architectures that guarantee Lyapunov stability and robust tracking performance.

MATLABSimulinkControl
VIEW_BLUEPRINT
05
J-Link • Logic Analyzer • Scope

Debug & Analysis

Leveraging hardware instrumentation to isolate complex timing anomalies and validate protocol integrity.

J-LinkProtocolDebug
VIEW_BLUEPRINT
05

Methodical tools
amplifying expertise.

AI works best when it amplifies expertise, not replaces it. The sweet spot? First principles thinking plus machine_speed.