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Google Code as Policies (CaP)

Product
Developers: Google
Date of the premiere of the system: Nov 2022
Branches: Internet Services,  Information Technology
Technology: Application Development Tools

2022: Announcement

On November 2, 2022, Google introduced a specialized software tool that can significantly reduce the amount of effort spent on training robots to perform new tasks. The system is called Code as Policies, or CaP.

Typically, companies that use robotic manipulators in production processes need to pre-configure the machines according to their requirements. To do this, program code is created for a particular operation. Teaching robots new skills requires writing new code. In addition, when adapting existing algorithms for a new machine, it is necessary to make appropriate changes to the code. Therefore, the process of introducing manipulators into production can take a long time. The CaP tool is designed to solve the problem.

Google released a tool for teaching robots in simple human language

The CaP system automatically generates code to control the robot based on instructions that the user sets in natural language. In recent years, Google and other companies have developed advanced artificial intelligence (AI) systems capable of creating program code according to their tasks. It is these AI tools that are used in CaP. To teach CaP, Google researchers used examples of how natural language instructions could be translated into a robot configuration code . It is argued that the new tool can be used to automatically configure robotic manipulators for a variety of operations: it can be moving objects, sorting, etc. Thus, the time spent on training and introducing robots is significantly reduced.

Code as Policies (CaP)

CaP generates program code in the language. Python Additionally, existing software libraries can be used algorithms to automate basic operations. The tool is available under GitHub the open-source license (sources are posted here). [1][2]

Notes

  1. [1] Google debuts tool for programming robots with natural language commands Code as Policies: Language Model Programs for Embodied Control
  2. [2]