Hello everyone!
I’m Ali Tekeş, a Computer Engineering student and aspiring Robotics Software Engineer with a strong passion for quadruped robots. I specialize in simulations using ROS 2 Jazzy and Gazebo Sim Harmonic, focusing on areas like SLAM, perception, and real-time sensor integration. On my YouTube channel, I create and share hands-on projects featuring both quadrupeds and drones, aiming to inspire and contribute to the robotics community.
Watch the full playlist:
Quadruped SLAM & Perception Series
Below is a quick overview of each video in the series:
- Object Detection with DETR in Gazebo Harmonic – Real‑time object detection in simulation using DETR.
- D‑LIO with Unitree Go2 (Quadruped) – Implementing and testing the D‑LIO SLAM algorithm on a simulated Go2.
- LIO‑SAM with X3 Drone at Gazebo Sim Harmonic – A full LIO‑SAM pipeline for aerial mapping in 3D.
- LIO‑SAM with Unitree Go2 (Quadruped) – Evaluating LIO‑SAM performance on a four‑legged robot.
- X3 Drone SLAM with RTAB‑Map & 3D LiDAR – Camera‑free mapping using only 3D LiDAR and RTAB‑Map.
- Simulating a Quadruped Robot (Go2) with SLAM Toolbox – Autonomous exploration on Go2 using SLAM Toolbox.
- Quadruped SLAM with RTAB‑Map – Real‑time RTAB‑Map mapping in a complex simulated environment.
Please note that the source code for these demonstrations is not publicly available at this time, but I plan to release it soon.
Each demo uses tested configurations for ROS 2 Jazzy and Gazebo Sim Harmonic, and I’ve customized the URDFs to cameras, LiDARs, and Gazebo plugins as needed.
These videos are already helping students and who deal with quadruped robots to explore cutting‑edge SLAM and perception techniques. I’d love to hear your feedback or questions—feel free to leave a comment or open an issue if you’d like more details!
LIO-SAM with X3 Drone at Gazebo Sim Harmonic | ROS2 Jazzy
Thank you for watching. I hope these resources inspire your next robotics project!
Contact me with Linkedin.
— Ali Tekeş