Google's language model generated programs then write the code in Python to accurately instruct the robot to follow the spoken commands. It relies on the structure of Python programming but also ...

you simply have to provide a different Python robot class that can be used by the same interface, and the rest of the code (controllers, supervisor, and simulator) will work out of the box!

Researchers from Google's Robotics team have open-sourced Code-as-Policies (CaP), a robot control method that uses a large language model (LLM) to generate robot-control code that achieves a user-spec ...

I really wanted to experiment with Posenet running on NVIDIA Jetson Inference, so I can use it to make a gesture or pose ...

Writing code to control robots is even more involved and often ... For example, a model trained on Python can use the appropriate if/else and for/while loops when needed, and use third-party ...

Google’s researchers trained CaP by supplying it with examples of how natural-language instructions can be translated into robot configuration code. CaP writes software in the Python programming ...

If you are like us, you probably just spin up your own code for a lot of ... and mapping for mobile robots. All the practical coding exercises are done in Python. Topics include SLAM, autonomous ...

The Pyxel robot can be programmed to do tricks like ... You can also go back and forth from Blockly to Python code, which is a neat little feature for those trying to learn more advanced sequences.

Genesis takes a Python-first approach. Notably, the non-proprietary nature of the Genesis platform makes high-speed robot training simulations available to any researcher for free through simple ...

written in Python code. CAP is the successor to PaLM-SayCan, a project that similarly allowed a physical helper robot to be directed through commands in plain English. CAP promises to allow for ...