October 22, 2024, Odense, Denmark-NVIDIA introduced generative AI capabilities within the ROS ecosystem at ROSCon 2024 in Odense, Denmark. Generative AI nodes and perception workflows are some of the promising developments that focus on AI-enabled robots on Jetson that NVIDIA has deployed.
These developments are expected to improve human-robot interaction and autonomous decision-making by enabling robots to more efficiently perceive and understand the environment around them.
NVIDIA showed how this collaborative solution with the likes of BMW AG could change how the broader robotics world operates.
NVIDIA’s senior AI engineer Kalyan Vadrevu also stated that,
“These tools allow robots to be more efficient, enabling them to be more adaptive and to make autonomous decisions.”
Fundamental to this enhancement is the ReMEmbR system designed to enable robotic reasoning through the use of LLMs and VLMs thus allowing better human-robot interaction.
Improvements were presented on Isaac Sim which is NVIDIA’s advanced robotics simulation masking platform as well. Developers are able to deploy robots enabled with AI into the real world securely because of this technology.
Simulations of autonomous systems are important as they are able to eliminate risks before deploying in real life which is able to enhance the performance of robots.
As highlighted by Michael Gentner of BMW AG,Stated
“With these new tools, we are observing significant enhancements in the automation workflows, thereby improving the incorporation of robots in the production process.”
The AI tools are almost ready for use by the ROS developers, allowing the progress of autonomous robotics to be accelerated. More information about their usage and deployment will be released in the next few months.
Source: https://blogs.nvidia.com/blog/generative-ai-simulation-roscon/
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