{"id":30188053,"url":"https://github.com/h-iaac/cst-tutorial-babybot","last_synced_at":"2025-09-29T08:23:57.963Z","repository":{"id":303672064,"uuid":"1016300659","full_name":"H-IAAC/cst-tutorial-babybot","owner":"H-IAAC","description":"This repository provides the content of the ICDL tutorial, we use a Docker-based environment to integrate infant behavior models using the CST (Cognitive System Toolkit). 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It was developed as part of a tutorial presented at the ICDL (International Conference on Development and Learning).\n\n## 🧠 Project Overview\n\nThis repository provides a complete and reproducible Docker-based environment for training and integrating infant behavior models using the CST (Cognitive System Toolkit). It was developed as part of a tutorial presented at the ICDL (International Conference on Development and Learning).\n\nThe environment supports:\n\nMultimodal infant modeling with MIMo\n\nBehavioral learning experiments using the BabyBench benchmark\n\nIntegration of cognitive models written in Java (CST) with simulation environments\n\nA lightweight graphical interface accessible via web browser (noVNC)\n\n\n\n## ✅ Requirements\n\nThis project runs entirely inside a Docker container, so the requirements are minimal on your host system.\n\n---\n\n### 🧱 Host System Requirements\n\nThese are required **only on your local machine** to build and run the Docker container.\n\n| Requirement              | Recommended Version                 | Purpose                                                 |\n| ------------------------ | ----------------------------------- | ------------------------------------------------------- |\n| **Docker**               | 20.10+                              | To build and run the development environment            |\n| **Operating System**     | Linux / macOS / Windows (with WSL2) | Linux or WSL2 is recommended for smoother support       |\n| **Web Browser**          | Any (Chrome, Firefox, etc.)         | To access the graphical interface via noVNC (port 8080) |\n| **Git**                  | 2.x                                 | To clone BabyBench and MIMo repositories (optional)     |\n| **CPU with AVX support** | Yes                                 | Recommended for PyTorch performance (MIMo models)       |\n\n---\n\n### 📦 Preinstalled Inside the Docker Container\n\nEverything below is already included in the Dockerfile — no need to install manually:\n\n#### 🔧 Languages and Platforms\n\n* **Python** 3.12 (via Miniconda)\n* **Java** OpenJDK 17\n* **Gradle** 7.6\n* **Maven**\n* **CST-CLI** (custom `.deb` package pre-installed)\n\n#### 🧠 Python Libraries\n\nInstalled via `requirements.txt` from BabyBench and MIMo:\n\n* `torch`, `numpy`, `matplotlib`, `pandas`\n* `gymnasium`, `pygame`, `opencv-python`, `pyyaml`\n* `websockify` (for VNC proxy)\n* `stable-baselines3` *(can be removed as per your Dockerfile)*\n\n#### 🖥️ GUI and Developer Tools\n\n* **Xfce4** (lightweight desktop environment)\n* **x11vnc**, **xvfb**, **noVNC** (browser-based GUI)\n* **Geany** (code editor with syntax highlighting)\n* **Mousepad** (lightweight text editor)\n* **xfce4-terminal** (terminal emulator)\n\n---\n\n### 🧪 Additional Skills (Recommended for Usage)\n\n* 🐍 **Basic Python \u0026 Conda**: To activate environments and run scripts\n* ☕ **Basic Java**: To compile and run `.java` files\n* 🧠 **Interest in Developmental AI**: To benefit from BabyBench simulations\n* 🐳 **Basic Docker knowledge**: To build, run, and troubleshoot the container\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fh-iaac%2Fcst-tutorial-babybot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fh-iaac%2Fcst-tutorial-babybot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fh-iaac%2Fcst-tutorial-babybot/lists"}