Certificate in Robotics Navigation for Automotive Vehicles
-- ViewingNowThe Certificate in Robotics Navigation for Automotive Vehicles is a comprehensive course that equips learners with essential skills for navigating autonomous vehicles. This program emphasizes the importance of robotics navigation in the rapidly evolving automotive industry, where self-driving cars are becoming increasingly prevalent.
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โข Robotics Navigation Fundamentals: Introduction to robotics navigation, different navigation algorithms, and their applications in automotive vehicles.
โข Sensors and Perception: Use of sensors in robotics navigation, data acquisition, and processing. Understanding lidar, radar, and camera-based perception systems.
โข Localization Techniques: Overview of various localization techniques, including dead reckoning, probabilistic robotics, and sensor fusion.
โข Path Planning: Introduction to path planning, graph theory, and various path planning algorithms such as A\*, Dijkstra's, and Rapidly-exploring Random Trees (RRT).
โข Mapping and SLAM: Understanding of Simultaneous Localization and Mapping (SLAM) techniques and their application in robotics navigation.
โข Autonomous Vehicle Architecture: Overview of autonomous vehicle software architecture and hardware components.
โข Motion Control and Obstacle Avoidance: Motion control strategies, obstacle detection, and avoidance techniques for autonomous vehicles.
โข Regulations and Ethical Considerations: Review of current regulations and ethical considerations for autonomous vehicles and their navigation systems.
โข Hands-on Project: Robotics Navigation: Implementing a robotics navigation system in a simulated or real-world environment.
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