Certificate in Robot Navigation & Obstacle Strategies

• Introduction to Robot Navigation – Understanding the basics of robot navigation, different types of navigation systems, and their applications. • Sensors for Robot Navigation – Exploring various sensors used for robot navigation such as ultrasonic, infrared, and LIDAR sensors. • Mapping and Localization – Learning about simultaneous localization and mapping (SLAM) techniques, grid-based and topological maps, and particle filters. • Obstacle Detection and Avoidance – Understanding the algorithms and techniques used for detecting obstacles and planning a safe path for robot navigation. • Path Planning for Robot Navigation – Delving into various path planning algorithms such as A\*, Dijkstra, and Rapidly-exploring Random Tree (RRT). • Mobile Robot Navigation – Focusing on the navigation of mobile robots, including ground, aerial, and underwater vehicles. • Advanced Navigation Strategies – Exploring advanced navigation strategies such as swarm robotics, multi-robot systems, and adaptive navigation. • Simulation and Testing of Robot Navigation – Learning about simulators and testing tools for robot navigation, including Gazebo, Webots, and V-REP.