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Cogniforge

Cogniforge is an adaptive reinforcement learning environment that lets anyone program robots with plain English.

Core trick

Turns a plain-English command into a behavior tree, then fine-tunes an imitation policy with reinforcement learning in PyBullet.

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Description

Cogniforge is an adaptive reinforcement learning environment that lets anyone program robots with plain English. Industrial robots today are brittle: even a 2 cm misplacement can cause failure, and programming new tasks takes weeks of expert engineering. Cogniforge solves this by combining GPT-5 and Codex with a custom PyBullet RL environment. A user gives a natural language command, and Cogniforge automatically generates a behavior tree, an expert demonstration, a rapid imitation learning policy, and a reinforcement learning fine-tune. Before acting, the robot uses GPT-5’s multimodal vision to detect real-world offsets and adapt on the fly. The result is a robot that learns and corrects itself in seconds — turning weeks of robotic programming into minutes.
Dhenenjay/cogniforge★ 00 forksPythonCreated Sep 27, 2025 · last push Sep 28, 2025

README excerpt

# 🤖 CogniForge - Program Industrial Robots with Plain English

**Turn weeks of robotic programming into minutes with adaptive AI**

[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Status: Active](https://img.shields.io/badge/Status-Active-success.svg)](https://github.com/Dhenenjay/cogniforge)

**CogniForge** is an adaptive reinforcement learning environment that lets anyone program robots with plain English. Industrial robots today are brittle: even a 2 cm misplacement can cause failure, and programming new tasks takes weeks of expert engineering. CogniForge solves this by combining GPT-5 and Codex with a custom PyBullet RL environment. A user gives a natural language command, and CogniForge automatically generates a behavior tree, an expert demonstration, a rapid imitation learning policy, and a reinforcement learning fine-tune. Before acting, the robot uses GPT-5's multimodal vision to detect real-world offsets and adapt on the fly. **The result is a robot that learns and corrects itself in seconds — turning weeks of robotic programming into minutes.**

## ✨ Revolutionary Capabilities

- **🗣️ Plain English Programming**: No more weeks of complex robot programming — just speak naturally
- **🤖 Industrial Robot Ready**: Handles real-world misalignments and environmental variations
- **⚡ Lightning Fast Learning**: 

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