Learning project exploring LiDAR–camera perception, tracking, and fusion in ROS2 using the KITTI dataset

4-wheeled mecanum robot with encoders, IMU, and LiDAR. Navigation2 and SLAM enabled for point-to-point movement. Explore the world with ROS2! 🤖🚀

A ROS2 Humble–based simulation project that enables a mobile robot to autonomously explore and map unknown environments using LIDAR-based SLAM in Gazebo. The system integrates real-time mapping, intelligent obstacle avoidance, and autonomous navigation to replicate real-world exploration behavior in a simulated environment.

This project intends to develop an omnidirectional robot car with stereo vision camera and solid state lidar sensor. It will further explore SLAM, RL based control, and autonomous driving stack. The first goal is to add ROS2 based control to the raspberry pi controlled robot car.

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MAS (Multi-Agent System) project consisting of exploring an unknown space using 3 robots with LiDAR sensors using strategies and algorithms in ROS2

Autonomous cognitive infrastructure monitoring robot using Unitree Go2 Edu. The project explores multi-sensor perception, LiDAR-based SLAM navigation, AI-driven anomaly detection, and smart building monitoring using ROS2 and simulation environments.