Stanford-AI4ALL-Robotics

Welcome to the official repository for the Robotics Team at the Stanford AI4ALL 2025 summer program! This repository contains project materials, code, datasets, and documentation used during the two-week AI4ALL camp.

📌 Overview

As part of the Stanford AI4ALL initiative, students in the Robotics team explore how artificial intelligence can power autonomous robots through computer vision, motion planning, and control systems. This project is designed to simulate a real-world automation task.

👩‍💻 Project Goal

Build an AI-powered robotic system that can:

• Recognize and classify objects based on visual features like color and shape
• Control a robotic arm (in simulation) to pick up and sort objects into appropriate bins

🧠 Learning Objectives

Participants will:

• Use OpenCV to process camera input and extract visual features
• Train a machine learning model to classify objects
• Integrate vision and classification outputs with robotic control
• Simulate robot behavior using PyBullet
• Learn the fundamentals of motion planning and robotics AI integration

🔧 Tools & Technologies

• Python 3.8+
• OpenCV
• PyBullet
• Google Colab
• TensorFlow or PyTorch (optional)
• ROS (Robot Operating System) – optional for advanced exploration

📁 Repository Structure

Stanford-AI4ALL-Robotics/
│
├── notebooks/              # Jupyter notebooks for each session
├── project/                # Directory for final project code
├── data/                   # Any dataset or images for exercises/project
├── requirements.txt        # Dependency list for local environment
└── README.md               # Overview of the repo and setup instructions

▶️ Getting Started

1. Clone the repository

   git clone https://github.com/hvcho/Stanford-AI4ALL-Robotics.git
   cd Stanford-AI4ALL-Robotics

2. Install required packages

   pip install -r requirements.txt

3. Run notebooks

   • Use Google Colab for a cloud-based setup
   • Or run locally using Jupyter:

     pip install notebook  # If you don't have Jupyter installed
     jupyter notebook

📅 Program Timeline

• Camp Dates: June 18 – July 2, 2025
• Session Time: 9:15 AM – 2:30 PM PT (weekdays only)
• Final Presentation: July 2, 2025

👥 Mentors

• Mansur Maturidi Arief (ariefm@stanford.edu)
• Nicholas Broadbent (ndbroadb@stanford.edu)
• Karthik Dharmarajan (karthikd@stanford.edu)
• Journey Washingtonhigh (journey@stanford.edu)

Note: Tasha Kim (tashakim@stanford.edu) supported spring mentor training as the Robotics team lead. Hanvit Cho (hvcho74@stanford.edu) supported for preparing the materials.

📚 Reference Links

• Google Classroom – Robotics

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This repository is maintained by the 2025 Stanford AI4ALL Robotics Mentor Team.