Embedded Foundation
- C/C++ on Arduino/AVR and ESP32.
- GPIO, PWM, timers, interrupts, sleep modes, and register-level basics.
- UART/I2C/SPI fundamentals and peripheral integration mindset.
Firmware Engineer Fresher
Embedded firmware and motion-control work for real robotics prototypes.
Control Engineering graduate with practical work in C/C++, MCU peripherals, robot kinematics, Jetson Nano vision deployment, and prototype-level system integration.
2-3 mmrepeatability
8 FPSJetson Nano
0.91mAP@0.5
Technical Fit
Firmware-adjacent evidence: MCU basics, motion control, sensor/camera integration, and reliability-minded testing.
Motion Control
- Forward and inverse kinematics for a Delta Robot.
- Synchronized stepper movement and pick-and-place control.
- Repeatability testing with measured prototype results.
Next Technical Focus
- PID tuning, BLDC control, IMU filtering, and encoder feedback.
- RTOS fundamentals and firmware reliability for embedded products.
- OTA update trade-offs for ESP32-based IoT devices.
Case Study: AI Vision for Delta Robot Waste Sorting
Graduation thesis, International University - VNU-HCM, Jun 2024 to Jan 2025.
Objective
Build a low-cost sorting prototype combining YOLOv8n detection, Jetson Nano inference, and Delta Robot pick-and-place control.
My role
Software and system integration lead: vision pipeline, control logic integration, prototype testing, and hardware-software connection.
Stack
YOLOv8n, TensorRT FP16, Jetson Nano 4GB, Arduino control, stepper motors, camera input, vacuum gripper, Python/C++ workflow.
Code
Project repository: github.com/9BaoTran1/Delta-Robot-EdgeAI.
Result
Reached 8 FPS inference, mAP@0.5 of 0.91, and 2-3 mm repeatability in experimental pick-and-place operation.
Poster summary of architecture, model result, robot integration, and measured outcomes.
Materials
Files are short and directly relevant for recruiter or technical review.