Michael Michaelides@mimichas

Platform-Y is an AI-native cloud platform for robotics development that compresses weeks of simulation setup into minutes. Instead of installing Gazebo, configuring ROS 2, searching for robot models, and wiring middleware by hand, developers open a browser and describe what they want in natural language. The platform generates the simulation environment, writes robot control code, and provides a direct path from simulation to physical hardware — with zero setup and zero install. Robotics today is slow and fragmented, spread across incompatible tools and repos. When AWS shut down RoboMaker in 2025, it left a clear gap in a $30B robotics software market. Platform-Y is built to fill that gap with an AI-first approach. Each user receives an isolated cloud simulation session running real Gazebo Sim with its own ROS 2 bridge and WebSocket stream. Through a Gemini-powered interface, users can create environments (“build a warehouse with shelving and a robot”) and execute commands (“move to the table”) while AI generates and runs ROS 2 code in real time. Gemini Vision enables digital twin creation from photos, automatically identifying objects and generating matching simulation layouts. The platform includes a pre-integrated robot library (TurtleBot3, Husky, Jackal, PX4 drones), built-in JupyterLab for custom development, and an MCP server architecture that allows external AI agents or physical robots to programmatically spin up simulations and retrieve validated control models. Platform-Y covers the full lifecycle: create environments, write logic, test with real physics, and deploy to hardware — all in one cloud platform. Built on React, Python, Gazebo Sim, ROS 2, and Gemini AI on GCP, it uniquely combines AI-native development, cloud simulation, and simulation-to-real bridging in a single product.

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