At the foundation of intelligent simulation is a physics-based character model. We call this model our Simulation Rig (or SimRig), which, when configured to a character asset, transforms a typical 3D file into a digital, biomechanical body. The SimRig maps physical attributes to the character
Our demos are often designed to show how intelligent simulation can synthesize even the most complex physical skills—from creating digital Basketball players to simulated stunt men. However, our most recent experiment focuses on simulating something more subtle: body language. Specifically, argumentative gesturing in a multi-character scenario.
Each of the
Hair animation remains one of the most difficult areas of character creation. Mimicking the collective, but not altogether uniform, motion of thousands of flexible, wispy strands is a task that even expert animators find daunting. Lifelike hair animation can elevate an otherwise
“SphereBot” is an experiment in robotic simulation by one of our physics engineers, Tom Mirades. While Tom isn’t creating a hardware controller to drive a real-world replica, he is motivated by an adjacent question: “how close to reality can I make something behave?” Tom is
REDWOOD CITY, CA – August 8, 2018 – DeepMotion, a pioneer in the field of Motion Intelligence, announced today