In the future, research is envisioned on humanoid robots based on multi-joint type arms!

This is a case study introducing a simulation environment centered around NVIDIA Omniverse M and Isaac Sim M for the research of "Physical AI," which merges advanced robotics and AI, aimed at accelerating the implementation of sophisticated "Sim-to-Real." The introduction of HPC this time goes beyond merely speeding up simulations. In the future, it aims to expand into multi-agent learning where multiple robots work collaboratively, as well as research on "meaning-based action generation" that integrates large language models (LLM) with physical simulations. The goal is to accelerate the implementation of Physical AI with the aim of achieving safe and rapid robot deployment in the real world. [Case Overview] - Aiming for expansion into multi-agent learning where multiple robots work collaboratively, and research on "meaning-based action generation" that integrates large language models (LLM) with physical simulations. - Aiming for safe and rapid robot deployment in the real world. - Future considerations include research on humanoid robots. *For more details, please refer to the related links or feel free to contact us.*

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