Robotics Systems Engineering — Kavosh & Danesh Teams

1st Place at FIRA RoboWorld Cup 2017 & 2018 — building and deploying object detection models in autonomous competitive robotics systems.

Designed, built, and deployed autonomous robotic systems for international competitions under the Kavosh and Danesh robotics teams. The work spanned real-time object detection, embedded control algorithms for multi-sensor systems, and leading team members to back-to-back championship wins at the FIRA RoboWorld Cup in 2017 and 2018.

Tech Stack

Embedded CC++ATmega128ArduinoRaspberry PiOpenCV

Features

1st Place at FIRA RoboWorld Cup 2017 and 2018
Real-time object detection models deployed on autonomous robots
Embedded control algorithms for multi-sensor robotic systems
Autonomous navigation and decision-making in competitive environments
Team leadership and mentoring across multiple competition cycles

Challenges

Achieving reliable real-time object detection under competition lighting and field conditions.
Synchronising multiple sensors (camera, IR, ultrasonic) in a low-latency control loop.
Debugging embedded systems with limited tooling under competition time pressure.

Learnings

Deep experience with embedded C and microcontroller programming (ATmega128, Arduino).
Practical real-time CV deployment in constrained hardware environments.
Team leadership and structured training design for competitive engineering teams.

Links

Live Github