Скачать или смотреть A-Star-Algorithm-and-Advanced-Path-Planning-for-Drone-Simulation

Discover how drones navigate complex environments using the A* (A-star) algorithm, one of the most powerful and widely used pathfinding and motion planning techniques in robotics and autonomous systems.
In this video, we break down the core principles of the A* algorithm, demonstrate how it is applied in drone simulation, and explore advanced path planning strategies used in modern aerial robotics.
Whether you're a beginner in AI and Machine Learning, a robotics student, or a developer building drone simulation projects, this tutorial provides a clear, visual, and academic explanation of how intelligent drones compute optimal paths while avoiding obstacles.
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🔍 What You Will Learn
• How the A* search algorithm works step by step
• Concepts of cost functions (g, h, f) and heuristic optimization
• Path planning in grid-based and continuous environments
• How drones use A* for real-time navigation and obstacle avoidance
• Advanced concepts:
o Weighted A*
o Dynamic replanning
o Energy-efficient route optimization
• Real-world applications in autonomous drones, UAV simulations, and robotics
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🎯 Who Is This Video For?
• AI & ML learners
• Robotics and UAV enthusiasts
• Engineering and computer science students
• Drone simulation developers
• Anyone interested in intelligent navigation systems
👍 If You Found This Helpful
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🔗 Resources & Links:
   • AI & Machine Learning Full Course – Beginn...  
   • FULL AI & Machine Learning Course: Beginne...  
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