Скачать или смотреть Agentic Frameworks on Robotics Concept? Step-by-Step Tutorial

Build an AI Agent to Navigate a 10x10 Grid While Avoiding Obstacles | Python, Google Colab & Plotly Tutorial

In this tutorial, you’ll learn how to develop an AI agent that intelligently navigates a 10x10 grid, avoiding obstacles, and reaching its goal. Using Python, Google Colab, and Plotly, we’ll guide you through a step-by-step pathfinding algorithm where the agent avoids revisiting the same path.

This tutorial also features an interactive visualization that dynamically updates as the agent moves, providing an engaging way to grasp AI navigation strategies!

💡 What You’ll Learn:
✅ Implement obstacle avoidance in a grid-based environment
✅ Utilize Plotly for interactive visualization
✅ Animate the agent's movement step-by-step
✅ Understand simple pathfinding logic with the Agentic AI concept

GitHub Code & Resources:
📌 GitHub Repository: [https://github.com/swayanshu/Agentic_AI]
📌 Plotly Library: [https://plotly.com/python/]
📌 Google Colab: [https://colab.research.google.com/]

Video Timeline:
00:00 - Introduction to Agentic AI & Grid Navigation
00:57 - Project Setup
01:19 - Model Pipeline
01:39 - Creating the AI Agent Class
02:13 - Generating Random Obstacles
02:44 - Implementing Movement Logic
03:45 - Setting Up Plotly Visualization
04:15 - Animating the Agent's Path
04:20 - Running the Simulation & Results
04:45 - Final Thoughts & Next Steps

Video Editor: @canva
Music: @AudioLibraryEN

#ai #python #machinelearning #plotly #pathfinding #agenticai #obstacleavoidance #interactivelearning #visualization #googlecolab #tutorial #datascience #aidevelopment #techtutorial #programmingtutorial #deeplearning #TechEducation #LearnAI #AIDevelopment #PlotlyVisualization #codingtutorial #aiprojects #techinnovation #tutorialvideo #smartai #codingforbeginners #aiagents #navigation #algorithm #codingisfun #PathfindingAlgorithm