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Musings on perception, sensors, robotics, autonomy, and vision-enabled industries
Discover the 94 companies powering modern perception for robotics and autonomous vehicles
Are basic models for acceleration and angular velocity of IMUs correct? We'll explain where they're wrong and how to estimate how wrong.
Dive into the measurement model of a 6-DOF IMU, namely an IMU with a 3-axis accelerometer and a 3-axis gyro.
Calibration for robots is hard. But, sometimes, robotics companies find ways to make it even harder.
How do robotics companies raise money from venture capital investors? Zann Ali from 2048 Ventures shares his perspective.
When evaluating sensors for your robot or AV, make sure to interpret range specifications correctly for your application.
Why you should think twice about building calibration in-house with open-source tools.
Considerations for creating a stereo depth sensing system for robotics companies.
We make the distinction between forward and inverse models, clarify terms, and explain how we apply distortion models in-house.
We dip into optimization theory to show why optimization is relevant to us & the role that calculus plays in "making the best choice."
A quick look at how ultrasonic sensors work, their pros and cons, and how they are used in perception arrays for robotic and AV systems.
We wrap up our analysis on one of the most innovative modalities in the Sensoria Obscura: event cameras.
We discuss event cameras, one of our favorite up-and-coming modalities in the Sensoria Obscura of autonomy.
Why are autonomy companies experimenting with (and increasingly adopting) thermal cameras as part of their sensor arrays?
Follow as we go through a common recipe we use to automatically regenerate our internal Docker image whenever rust:latest is updated.
What sensing goes into a Waymo RoboTaxi? As it turns out...quite a lot. More than we even expected!
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