@Egeigen (Ege Kural) -
's skills
- Behavior Trees
- CD/CI for robotics
- Computer Vision
- Control Theory
- Deep Learning
- Docker
- Embedded Systems
- Gazebo
- Git
- Kinematics
- Machine Learning
- MoveIt
- OpenCV with ROS
- Path Planning
- PCL with ROS
- Robot Operating Systems
- Robotic Manipulation
- Robotic Perception
- ROS control
- ROS Web Development
- ROS with Docker
- ROS2 Basics
- ROS2 Control
- ROS2 Navigation stack
- SDF
- Sensor Fusion
- SLAM
- State Estimation
- URDF
's Work Experience
Milvus Robotics
Role:
From 2023-06-01 to 2024-01-01
- Developed a human-following module for an Autonomous Mobile Robot (AMR) utilizing a 2D LiDAR system. The process involved data filtering, leg detection from laser points, tracking of leg pairs, and implementing path-following algorithms to physically trail a human. This helped my company meet the demand of a new customer, increasing its revenue. - Worked on a line detector to improve navigation of AMRs in warehouses.
Polonom Robotics
Role:
From 2022-09-01 to 2023-06-01
• In a collaborative robotics project, implemented deep learning inference for object detection and tracking. Developed a script to extract 3D object locations by matching LiDAR point clouds with detected bounding boxes. Additionally, created custom ROS messages to facilitate multi-robot communication. These contributions enabled the company to maintain collaboration with a defense industry agency. • Updated and improved old submodules of a service robot which assisted while finding a new customer for the product.