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Vladlen Koltun — The Power of Simulation and Abstraction

Gradient Dissent: Conversations on AI

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The Power of Simulation in Robotics

The approach is essentially taking the system through a tremendous amount of experience in simulation and have it do all the trying and falling in simulation. The key question after that is what happens when you learn in simulation, and put the model, put the controller on the real robot in reality, will it work? There are a few ideas that make it work and a few pleasant surprises where it worked better than we expected. Snow, vegetation, running water, soft yielding, compliant terrain, sand, things that would be excruciating to model were not hard to model at all.

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