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Robot Talk · October 2 · 29 min

Episode 164: Accelerating robot learning - Michelle Lu

Claire chatted to Michelle Lu from Vsim Technology about using simulation and artificial intelligence to teach robots new skills. Michelle Lu is co-founder and CEO of Vsim Technology. She was previously a Director of Simulation Technology at NVIDIA, where she and her co-founder created the world's first end-to-end GPU-accelerated reinforcement learning (RL) framework, Isaac Gym, which set the template for how modern GPU-accelerated simulation-based RL is performed in robotics. In 2022, Michelle and her co-founder left NVIDIA to create Vsim, driven to solve the limitations that plague simulation-based robotics AI: efficiency, scalability and the sim-to-real gap. This episode is powered by the Advanced Research + Invention Agency's Robot Dexterity programme, which aims to transform robotic capabilities and unlock a step-change in human productivity. Join the Robot Talk community on Patreon: https://www.patreon.com/ClaireAsher Find out more about ARIA: https://aria.org.uk/

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Claire chatted to Michelle Lu from Vsim Technology about using simulation and artificial intelligence to teach robots new skills.

Michelle Lu is co-founder and CEO of Vsim Technology. She was previously a Director of Simulation Technology at NVIDIA, where she and her co-founder created the world's first end-to-end GPU-accelerated reinforcement learning (RL) framework, Isaac Gym, which set the template for how modern GPU-accelerated simulation-based RL is performed in robotics. In 2022, Michelle and her co-founder left NVIDIA to create Vsim, driven to solve the limitations that plague simulation-based robotics AI: efficiency, scalability and the sim-to-real gap.

This episode is powered by the Advanced Research + Invention Agency's Robot Dexterity programme, which aims to transform robotic capabilities and unlock a step-change in human productivity.

Join the Robot Talk community on Patreon: https://www.patreon.com/ClaireAsher

Find out more about ARIA: https://aria.org.uk/

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