🤖 How Robots Make Smart Decisions 🧠 | Monte Carlo Tree Search Explained!

How can a robot decide what to do next? 🧩 In this episode, Prof. Nick Hawes from the Oxford Robotics Institute breaks down the power of Monte Carlo Tree Search (MCTS) — a decision-making algorithm that helps machines think ahead, plan smart, and act effectively in uncertain environments.

🚀 What is Monte Carlo Tree Search?
🎲 How does randomness improve decision making?
🌳 How does a robot build and explore decision trees?
♟️ Why is MCTS used in AI, robotics, and even board games like Go?

Whether you're into robotics, AI, or just love understanding how machines "think," this video is your beginner-friendly deep dive into one of the most fascinating search algorithms in computer science.

📺 From the minds behind Computerphile, where complex topics meet clarity.