Faster Simulation With Uncertainty

Explore Labs

Description

In robotics, uncertainty often arises from noisy sensors, imperfect models, or unknown material properties, and addressing this through prospection is crucial for ensuring reliability and safety.
Traditional approaches frequently rely on computationally expensive sampling to account for this variability.
We have developed methods for propagating uncertainty through rigid body collisions, focusing on two-body interactions with initial positional uncertainty.
While our methods are still under active development, they offer a promising direction toward more efficient simulations under uncertainty,
with potential applications in future robotic systems.
Try our approach through the provided web application; please refer to the help menu for further details.

Author and Contact Details

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