Скачать или смотреть AI-Powered Spatial Awareness: OpenAI Codex + Raspberry Pi 4B & RoboBaton Mini

Can AI automate high-precision navigation? In this video, we integrate OpenAI Codex with the Raspberry Pi 4B to interface with the RoboBaton Mini—an advanced front-end positioning module designed for robotics.

Instead of manual coding, we use Codex to generate the logic required to extract real-time coordinates and display tracking images. The RoboBaton Mini acts as the "Internal GPS," providing the spatial data necessary for any autonomous system to understand its environment.

Key Technical Highlights:
· The Module: Why the RoboBaton Mini is a game-changer for robot localization.
· The AI Bridge: Using OpenAI Codex to handle hardware protocols and data streams.
· Visualizing Data: Transforming raw position tracking into real-time visual feedback on the Pi.

Hardware used: Raspberry Pi 4B, RoboBaton Mini (Positioning Module), and OpenAI Codex API.

0:00 Intro: Why Positioning is the Hardest Part of Robotics
0:50 Deep Dive: What is the RoboBaton Mini Positioning Module?
2:15 Setting up the Raspberry Pi 4B for Data Acquisition
3:30 Prompt Engineering: Asking Codex to Interface with the Module
5:45 Analyzing the Front-end Tracking Data
7:20 Real-time Image Display: From Coordinates to Visuals
9:00 How this scales to Autonomous Mobile Robots (AMR)
10:30 Final Thoughts: The Future of AI-Driven Hardware

#openai #codex #raspberrypi #robot #localization #spatialawareness #aihardware #slam