CUSTOM ROBOTS ON DEMAND

The Robot Compiler takes a step towards realizing the vision of personal robots that has captured imaginations for decades. It allows non-engineering users to rapidly fabricate customized robots, facilitating the proliferation of robots in everyday life.To get more news about Robots on Demand, you can visit glprobotics.com official website.

Personalized on-demand robots have a vast potential to impact daily life and change how people interact with technology, but so far this potential has remained largely untapped. Building robots is typically restricted to experts due to the extensive knowledge, experience, and resources required. The Robot Compiler aims to remove these barriers with an end-to-end system for intuitively designing robots from high-level specifications. By describing an envisioned structure or behavior, casual users can immediately build and use a robot for their task.
A person can design their robot by combining parts from a library of customizable modular robot building blocks such as legs, grippers, or bodies. The system automatically processes this design to generate an electrical layout, a foldable pattern to print or cut, Arduino code with an API for programming behaviors, and an Android app that can immediately control the robot. The person could also specify desired behavior using structured English, which will be automatically parsed and implemented in the generated Arduino code. Using this system, the user can go from an idea to a fully operational origami robot in a matter of hours. Do you want a robot to play with your cat? Follow lines on your floor? Fetch a lost item under the couch? Just design it, fold it, and use it in no time. Want to make some changes or build a new robot? Just unfold it and reuse the parts!

This system encourages users to treat robots for physical tasks as they would treat software for computational tasks. By simplifying the design process and fostering an iterative approach, it moves towards the proliferation of on-demand custom robots that can address applications including education, healthcare, disaster aid, and everyday life. Instead of saying “there’s an app for that” when confronted with a computational task, we should start thinking “there’s a bot for that” when confronted with a physical task.