Lucky Robots Introduction

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Lucky Robots is a premier virtual training boot camp for robots, offering a simulation platform to rapidly iterate, train, and test robot models using cutting-edge technologies.
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What is Lucky Robots

Lucky Robots is an innovative robotics simulation platform designed to make robotics accessible to regular software engineers. It decouples robotics from ROS and physical hardware, allowing users to deploy end-to-end AI models in a digital environment. The platform aims to bridge the gap between natural language commands and robot actions, enabling users to train AI models on real-world simulations without the need for proprietary hardware or complex installations.

How does Lucky Robots work?

Lucky Robots provides a simulation environment where users can deploy AI models that process camera inputs, robot kinematics, and text commands to generate action tokens predicting the robot's next state. The platform offers virtual environments like homes and offices for robot navigation training, along with realistic physics simulations. Users can access four 5 FPS camera feeds (two RGB and two DepthCam) and coordinate feeds for the robot body and arm. The system supports both simulation of real robots like Hello Robots' Stretch 3 and imaginary robots with drone capabilities. Lucky Robots is designed to be user-friendly, requiring only a single line installation, making it accessible to a wide range of developers.

Benefits of Lucky Robots

Lucky Robots offers numerous advantages for robotics development. It eliminates the need for expensive hardware, complex setups, and proprietary systems, making robotics accessible to more developers. The platform's ability to simulate real-world physics and environments allows for rapid iteration and testing of AI models without physical risks. By supporting natural language commands, it opens up robotics to a broader audience. The system's flexibility in simulating various robots and environments makes it versatile for different applications, from home automation to search and rescue operations. Additionally, the potential for renting real robots by the hour for testing AI models in real-world environments further bridges the gap between simulation and practical application.

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