How Simulations and Digital Twins Are Advancing Robotics
Agentic AI showed us the capabilities of autonomous AI systems in workflows. Now, physical AI is poised to show us the capabilities of autonomous systems in the physical world, but not without help, as noted in various sessions at Nvidia GTC 2026. Physical AIis an embodied system that uses sensors to process and understand its surroundings. Consider tools like autonomous vehicles that use sensors to process a host of environmental data to ensure safe transportation. Or medical robotics, which provides healthcare workers with a degree of precision they never had before. Physical AI and robotics stand to revolutionize and automate entire industries, but as emerging technologies, they’re still in their infancy. These tools still need to learn to navigate the world around them without risking harm to humans or organizational failure. Simulations and digital twins could provide an environment to test and refine robots before implementation. How simulations and digital twins are advancing robotics | TechTarget
