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Скачать или смотреть 01 - Grab a Basketball | Manual Scripts

  • Stefano Caramagno
  • 2024-12-17
  • 10
01 - Grab a Basketball  | Manual Scripts
Anthropomorphic RobotsRobotsRoboticsArtificial IntelligenceAIIALarge Language ModelsGPT-4oLLMsPythonOpenCVNumPyJupiter NotebookUnity 3DSimulatorSimulationObject Manipulation
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𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝘀 𝗮𝗻 𝗘𝗻𝗴𝗶𝗻𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝗰 𝗥𝗼𝗯𝗼𝘁𝘀

📚 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻

My name is 𝗦𝘁𝗲𝗳𝗮𝗻𝗼 𝗖𝗮𝗿𝗮𝗺𝗮𝗴𝗻𝗼, and I'm pleased to present this repository containing a project on the use of 𝗮𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝘀 𝗮𝗻 𝗲𝗻𝗴𝗶𝗻𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗮𝗻𝘁𝗵𝗿𝗼𝗽𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝗰 𝗿𝗼𝗯𝗼𝘁𝘀.
This project was completed as 𝗙𝗶𝗻𝗮𝗹 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 of my 𝗕𝗮𝗰𝗵𝗲𝗹𝗼𝗿'𝘀 𝗗𝗲𝗴𝗿𝗲𝗲 𝗶𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 at the 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗼𝗳 𝗖𝗮𝘁𝗮𝗻𝗶𝗮.

✨ 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀

𝗦𝗹𝗶𝗱𝗲 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Summarizes project objectives, methodologies, results, and conclusions through a structured visual format.
𝗪𝗿𝗶𝘁𝘁𝗲𝗻 𝗥𝗲𝗽𝗼𝗿𝘁: Provides a comprehensive analysis, detailing AI and robotics evolution, setup, methodology, and results.
𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗦𝗲𝘁𝘂𝗽: Prepares tools and dependencies to create and test robotic system scripts efficiently.
𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗼𝗿 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻: Sets up the simulation environment to ensure accurate robotic movement testing.
𝗣𝗿𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝗿𝘆 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: Runs initial scripts to validate movement and interaction within the simulated environment.
𝗦𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝗠𝗼𝘁𝗶𝗼𝗻 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: Implements code to control movements, from basic positioning to complex object manipulation.
𝗦𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝗢𝗯𝗷𝗲𝗰𝘁 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻: Adds recognition capabilities to detect and distinguish objects in the environment.
𝗔𝗜-𝗔𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗦𝗰𝗿𝗶𝗽𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Iterates script creation from a single prompt, analyzing both improvements and regressions.
𝗣𝗶𝗹𝗼𝘁 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗠𝗼𝘃𝗲𝗺𝗲𝗻𝘁: Tests multiple AI-generated scripts for complex tasks, like object manipulation, from one request.
𝗦𝘆𝘀𝘁𝗲𝗺𝗮𝘁𝗶𝗰 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: Generates script versions for each prompt, from joint movements to object handling.
𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗔𝗰𝗿𝗼𝘀𝘀 𝗦𝗰𝗿𝗶𝗽𝘁 𝗜𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Compares AI-generated scripts to track improvements, regressions, and optimizations.
𝗙𝗶𝗻𝗮𝗹 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗙𝘂𝘁𝘂𝗿𝗲 𝗣𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲𝘀: Summarizes findings and discusses improvements for AI-driven robotic programming.

🛠️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸

𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗪𝗿𝗶𝘁𝗶𝗻𝗴: Microsoft Word for writing the written report.
𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻: Microsoft PowerPoint for creating the slide presentation.
𝗦𝗽𝗿𝗲𝗮𝗱𝘀𝗵𝗲𝗲𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Microsoft Excel for managing data analysis.
𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲: Python for implementing video processing and computer vision tasks.
𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀:
𝗡𝘂𝗺𝗣𝘆 for efficient numerical operations and data manipulation.
𝗢𝗽𝗲𝗻𝗖𝗩 for advanced image processing and computer vision tasks.
𝗗𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Pip for installing and managing project dependencies.
𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: Unity for testing and validating robotic movements in a virtual environment.
𝗜𝗗𝗘: Visual Studio Code for development and debugging.
𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Git for tracking changes and managing project versions.
𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆 𝗛𝗼𝘀𝘁𝗶𝗻𝗴: GitHub for storing, sharing, and maintaining the project repository.

🌐 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝗠𝗲

Feel free to explore my professional journey, check out my projects, or get in touch through the following platforms:

• 𝗘𝗺𝗮𝗶𝗹: [email protected]
• 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼: https://stefanocaramagno.github.io/
• 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻: https://www.linkedin.com/in/stefanocaramagno/
• 𝗜𝗻𝗱𝗲𝗲𝗱: https://profile.indeed.com/p/stefanoc-4cl1mmq
• 𝗚𝗶𝘁𝗛𝘂𝗯: https://github.com/stefanocaramagno
• 𝗬𝗼𝘂𝗧𝘂𝗯𝗲:    / @stefanocaramagno  

⚖️ 𝗟𝗶𝗰𝗲𝗻𝘀𝗲

© 𝗦𝘁𝗲𝗳𝗮𝗻𝗼 𝗖𝗮𝗿𝗮𝗺𝗮𝗴𝗻𝗼

𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗮𝗻𝗱 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗨𝘀𝗲 𝗢𝗻𝗹𝘆
All content in this repository is provided for personal and educational purposes only.
Unauthorized actions without explicit permission from the author are prohibited, including but not limited to:

• 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗨𝘀𝗲: Using any part of the content for commercial purposes.
• 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: Sharing or distributing the content to third parties.
• 𝗠𝗼𝗱𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Altering, transforming, or building upon the content.
• 𝗥𝗲𝘀𝗮𝗹𝗲: Selling or licensing the content or any derivatives.

For permissions beyond the scope of this license, please contact the author.

𝗗𝗶𝘀𝗰𝗹𝗮𝗶𝗺𝗲𝗿
The content is provided "𝘢𝘴 𝘪𝘴" without warranty of any kind, express or implied.
The author shall not be liable for any claims, damages, or other liabilities arising from its use.


💻 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆
• 𝗟𝗶𝗻𝗸: https://github.com/stefanocaramagno/AI_for...

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