In this session with David Khosid, AI Tech Lead at ForSight Robotics, formerly Google DeepMind, we’ll talk about robots that learn to make adaptive, complex decisions.
Imagine a future where robots live among us, able to walk and do housework. A future generation of robots will not be programmed to perform specific tasks. Instead, they will learn from experience and acquire skills through trial and error, just as humans and animals do.
This adaptability relies on machine learning methods such as deep reinforcement learning, large-scale simulation, and others - some of which are shared with LLMs.
We will take a look at how training works, along with some robotics videos for illustration.
And what are the gaps to my Level-5 self-driving car and my domestic robot?
Join us as we explore the coming wave of fascinating intelligent robotics.
