Here's a cool new AI demo from DeepMotion, the company which recently taught an AI how to "learn" the art of dribbling. In this demo, they've simulated a group of AIs infinitely arguing; even if they gesticulate so wildly, they knock each other down, they right get back into the squabble:
With only a few learned skills, the character controllers used in this demo are relatively simple, as are the mechanics of the simulation. When the simulation is played, each character transitions between the three argumentative gestures at random, creating the appearance of a lively debate. When the characters experience external force from a user, the environment, or another character, they fall and then promptly get up. The primary goal is to continue arguing.
Fit a few hundred of these in an auditorium, and you could simulate a session of Congress! (With possibly less pratfalls.)
"The short term plan," Deep Motion's Chief Scientist Libin Liu tells me, "is to let the characters learn argument and idling actions from those unstructured motion sequences, so that they can perform them freely based on scripts, user commands, or mimic user actions based on sparse input (like 3 point tracking)."
Most game-focused AI is developed around core mechanics like pathfinding and combat, but Liu and his team believe subtle group interactions like this can do much to make a game world seem that much more real:
"Idling and speech performances are important to making a virtual character real and alive," as he tells me. "They are very common in the real world but hard to model and control in the virtual world. Those motions are usually spontaneous, patternless, and non-repetitive. Traditional approaches usually rely on structured input. It often takes time to prepare the motions and design the transitions, and the resulting motion can be repetitive and strongly patterned. We are very interested in learning those motion from unstructured motion sequences and utilize physical simulation to achieve natural and realistic performance."
More about this on DeepMotion's site.
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Posted by: jonathan | Thursday, February 07, 2019 at 06:39 AM