Enhancing AI-based Robotics with Simulation Workflows
Teresa Conceicao - 3 years ago
Anything that moves will be autonomous! With an ever-growing AI and data-centric world, robots will become more intelligent, flexible, and robust. However, with these new paradigms, some challenges arise:
- AI Robots need data! Lots of different data! But acquiring real data can be costly and laborious;
- AI Robots need training! Lots of training! But training in the real world is not scalable and getting representative scenarios covering hard edge cases might even be impossible;
- AI Robots need testing! Lots of testing! But real testing cycles are time-consuming, possibly unsafe, and slow down development iterations.
Sounds hard? No, it is really no boogeyman! In this session, we'll go over how Simulation can play a key role in enabling AI-based Robotics but also how to easily get started enhancing AI workflows with the NVIDIA Omniverse and Isaac platforms.
- AI Robots need data! Lots of different data! But acquiring real data can be costly and laborious;
- AI Robots need training! Lots of training! But training in the real world is not scalable and getting representative scenarios covering hard edge cases might even be impossible;
- AI Robots need testing! Lots of testing! But real testing cycles are time-consuming, possibly unsafe, and slow down development iterations.
Sounds hard? No, it is really no boogeyman! In this session, we'll go over how Simulation can play a key role in enabling AI-based Robotics but also how to easily get started enhancing AI workflows with the NVIDIA Omniverse and Isaac platforms.
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