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Manar Daghsni
Entry Electrical & Automation Engineer specializing in Embedded Systems and ROS 2 robotics
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About
Robotics/embedded candidate who built an end-of-studies restaurant waiter robot using Raspberry Pi 5 + ROS 2 Jazzy with Arduino Mega motor control and an ESP32-based table call button system. Implemented sensor nodes (LiDAR/ultrasonic/IMU), SLAM mapping with slam_toolbox, and navigation with Nav2; overcame major odometry calibration issues using EKF filtering and validated behavior in Gazebo before deploying to the real robot.
Experience
Education
Key Strengths
- End-to-end embedded ownership (component selection, integration, testing, real robot implementation)
- Built a ROS 2 Jazzy architecture with separate workspaces for sensor/MCU comms vs mapping/navigation
- Hands-on SLAM bring-up with slam_toolbox + RViz and real-world mapping workflow
- Resolved difficult odometry/SLAM calibration issues using EKF filtering (month-long debugging effort)
- Simulation-first approach using Gazebo prior to real hardware deployment
- Integrated multi-controller system (Raspberry Pi + Arduino Mega + ESP32 call button system)
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