Agility Robotics and Physical Intelligence are using modular brain architecture, which separates the brain into hierarchies to conduct different tasks. Agility’s Digit robot, for instance, has a “task” layer that describes what needs to be done, a “skill” layer that covers how to do it, and a “control” layer that executes the job, including locomotion and task completion.
“We have a combination of AI-learned and also engineered skills…. We can mix and match those different layers together…, which is really useful for practical deployment,” said Pras Velagapudi, CTO at Agility Robotics.
Simulating the real world: Simulation helps evaluate robot behaviors and whether robots stick to policies and adhere to safety requirements. “As policies get more and more general, you need to be testing them in more and more situations…. Doing that in the real world can be increasingly costly, increasingly challenging,” said Chelsea Finn, assistant professor at Stanford and co-founder of Physical Intelligence.
