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Robotics Software Engineer
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Robotics Software Engineer

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codermery/README.md

Meryem Koç

Robotics Software Engineer · Computer Vision · Autonomous Systems

I build perception and robotics systems that connect AI models with real-world machines.

Portfolio LinkedIn Email GitHub


About

I am a robotics software engineer and researcher from Türkiye, working at the intersection of robotics, computer vision, and autonomous systems.

My work focuses on building practical AI-powered robotic systems, from simulation and model evaluation to embedded deployment and real-world testing.

Currently, I am developing research and engineering projects around:

  • Multi-robot SLAM and map merging
  • Autonomous driving perception
  • Safety-oriented AI systems
  • Warehouse robotics and AMR systems
  • Embedded robotics and real-time control

Research & Engineering Focus

Autonomous Systems Navigation, perception, decision-making, and system-level robotics integration.
Multi-Robot SLAM Collaborative mapping, map merging, coordinated exploration, and coverage evaluation.
Computer Vision Object detection, safety-critical perception, corner case analysis, and model evaluation.
Embedded Robotics Microcontrollers, sensors, motor control, real-time logic, and hardware-software integration.

Featured Work

Project Focus Stack
Safety-Oriented Hybrid Perception Framework Autonomous driving perception and safety-critical object detection Python, Computer Vision, Object Detection
Multi-Robot SLAM & Map Merging Collaborative robotic mapping and coverage evaluation ROS 2, SLAM, Gazebo, Python
Deptron AMR Warehouse Robotics Autonomous mobile robot concept for warehouse logistics ROS 2, AMR, Embedded Systems
Embedded Gate Control System PLC/HMI-style robotics access control simulation and hardware testbed ESP8266, PySide6, OpenPLC, Arduino

Tech Stack

Robotics & Autonomous Systems

Computer Vision & AI

Programming & Tools

Embedded & Hardware


Highlights

  • 1st place — SPADE Drone Challenge, SPADE EU Project with Eclipse Foundation, Portugal, 2025
  • Top 10 in the BARN Challenge, a robotics navigation benchmark, 2026
  • Finalist in multiple robotics, AI, and autonomous systems competitions (Robocup German Open 2026, Teknofest 2025)
  • Experience with ROS 2-based multi-robot systems, SLAM, and autonomous perception
  • Research focus on safety-oriented AI, autonomous driving perception, and collaborative mapping

Connect

I am interested in robotics research, autonomous systems, computer vision, and international engineering collaborations.


Pinned Loading

  1. lio-sam-vs-fast-lio-benchmark lio-sam-vs-fast-lio-benchmark Public

    Reproducible Docker-based benchmark of LIO-SAM and FAST-LIO on the Newer College Dataset.

    Python 1

  2. Safety-Oriented-Hybrid-Specialist-Generalist-Perception-Framework-for-Autonomous-Driving Safety-Oriented-Hybrid-Specialist-Generalist-Perception-Framework-for-Autonomous-Driving Public

    Python

  3. FTG_method_Barn_2026_Deptron FTG_method_Barn_2026_Deptron Public

    Forked from nidramu/FTG_method

    Python

  4. nidramu/FTG_method nidramu/FTG_method Public

    Python 1

  5. Barn-Challange-Setup Barn-Challange-Setup Public

    Python

  6. OpenPLC-with-julide OpenPLC-with-julide Public

    OpenPLC-based mobile robot gate control system with Modbus TCP, Ladder Logic, HMI, and physical relay/servo integration.

    C