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Autonomous swarm kamikaze drone system for area surveillance and target engagement. Features AI-based target detection, Pixel-to-GPS localization, coordinated swarm task allocation, and collision-safe parallel operations. Built on ArduPilot SITL, ROS, and Gazebo simulation.
Complete Physical AI & Humanoid Robotics textbook with 87 interactive lessons, AI chatbot, ROS 2, NVIDIA Isaac Sim, and hands-on projects. Built with Docusaurus.
A camera-based line follower robot built with ROS2, Gazebo, and OpenCV. Instead of IR sensors, the robot uses a camera to detect and follow a track. Includes a 4-wheel differential drive, a custom Gazebo world with a rectangular loop, and OpenCV scripts for real-time vision-based navigation.
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.
ROS2 differential drive robot simulation in Gazebo. Currently serves as foundation for developing autonomous navigation (Nav2), SLAM, and computer vision pipelines
ROS2 disaster-response robot simulator with EKF sensor fusion, LiDAR SLAM mapping, and reinforcement learning for autonomous navigation in collapsed building environments
ROS Noetic-based navigation stack for the Pickasso Robot, featuring AMCL localization, DWA path planning, and obstacle avoidance in both Gazebo simulation and real-world TurtleBot3 Waffle Pi deployments
Vision-based autonomous lane following and navigation for TurtleBot3 using ROS 2, Gazebo, SLAM, and a custom virtual obstacle map built from lane boundaries.
🤖 Containerized ROS 2 simulation stack bridging Gazebo and YOLOv8. Features a TurtleBot3 Waffle Pi navigating custom worlds (Warehouse, City, Apartment) with real-time AI object detection.