Robot manipulation involves more than vision and motion. Understanding physical contact remains a challenge.
We make contact something you can measure, simulate, and learn from.
A gripper slips. An insertion jams. A part gets crushed.
Video and conventional evaluation metrics can show the outcome, but they don't always reveal the forces, slip onset, or contact behavior that contributed to it.
Understanding what happened at contact can help explain why a manipulation task failed.
We use physical contact measurements to help teams understand manipulation performance beyond success rates.
We use measurements from real-world interactions to inform how contact behavior is represented in simulation.
We collect and curate manipulation data tailored to the needs of robot and model developers.
One measurement foundation. Three ways to improve manipulation.
Whether you're building robots or training models, we start with the challenges you're trying to solve.
For robotic hands and grippers, with or without onboard tactile sensors.
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