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The system, as described, also relies on third-party libraries and APIs to best generate the code suited to a specific scenario -- as well as support for languages and (why not?) emojis.

Writing code to control robots is even more involved and often has multiple steps: There’s code to detect objects, code to trigger the actuators that move the robot’s limbs, ...

Google has unveiled a new approach to using large language models (LLMs) that shows how robots can write their own code on the basis of instructions from humans. The latest work builds on Google's ...

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 ...

This involves a code-writing AI model that can create new code for new instructions. Large language models are natural language processing (NLP) systems that are trained on a massive volume of data.

Google has released an new open source benchmark that it says will allow robots to perform tasks by writing their own code in response to human-written instructions. The company has launched a new ...

Teaching robots is usually code-intensive work, but Toyota has now found a way to allow a human to "show" a robot how to perform a task, which it can then repeat. Latest; New Cars; ...

[Sergii] has been learning about robot simulation and wrote up a basic simulator for a robodog platform: the Unitree A1. It only took about 800 lines of code to do so, which probably makes it a goo… ...

New research demonstrated at Google’s AI event in New York City this morning proposes the notion of letting robotic systems effectively write their own code. News Today's news ...