Indoor Autonomous Navigation with ROS2

I need a tech-savvy freelancer to utilize Robot Operating System 2 (ROS2) for autonomous robot navigation within an indoor environment. You'd be working with a wheeled robot, empowering it with the capabilities to smoothly navigate the specified indoor area.

Key responsibilities:

- Develop a SLAM (Simultaneous Localization and Mapping) system to map the indoor environment.
- Integrate the SLAM system with our wheeled robot for autonomous navigation.
- Implement accurate localization and positioning of the robot for seamless navigation.

Ideal Skills:

- Proficient understanding of ROS2.
- Proven experience in robot navigation and localization.
- Familiarity with wheeled robots and their dynamics.
- Strong background in implementing SLAM on robots.

The robot runs on a raspberry pi 4 running ubuntu 22. Ros2 humble is installed on the system. The robot moves using 4 wheel skid-steer mechanism. The 2 sensors used are the d435i depth camera with integrated IMU and a 2d lidar. I need someone who can use all 3 sensors for optimal slam and autonomous navigation

Im looking for someone who responds quick and has great availability