Automate the Impossible

About Akasha 

"Akasha Imaging has a unique DNA, with founders who have shaped the field of computational imaging and are now bringing that technology to market to address real-world challenges"

Vinod Khosla, Khosla Ventures

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We have joined the team at Intrinsic

Akasha has been operating as an independent subsidiary of Vicarious since September, 2021. We are excited to share that we have officially joined the team at Intrinsic, a robotics software and AI company at Alphabet. Together, we share an exciting mission: we’re building an intelligent robotics platform to unlock the economic and creative potential of millions more businesses, entrepreneurs and developers. Learn more about the work we will do together here.

Backed By Science

 
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CVPR 2020

Using polarization of light to pick up transparent or translucent objects. A DNN takes the physics of polarization into account. 

Top 3% Paper

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IJCV 2017

Analysis of surface characteristics and the unpolarized world assumption to make 3D polarimetric imaging pragmatic.

Marr Prize Special Issue

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ICCV 2015

A frequency analysis of slope and range data to incorporate and fuse polarization normals for high-resolution 3D imaging.

Top 3% Paper

Our Investors

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Akasha Vision System

It is a one-stop robotic vision system for picking, welding, assembly, inspection and more. ​

High Resolution 3D 

Precise 6DoF Pose in Clutter

 

Supports Transparent Objects

 

Supports Shiny Objects

 
 

Low Cycle Times

 
 
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In The News

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Why it matters: As important as the manual abilities of robots are, they need the ability to properly see

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A breakthrough makes even the tiniest 3D sensor up to 1,000 times sharper

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This approach practically overcomes ambiguities in polarization-based shape sensing

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The trick boils down to measuring the exact orientation of light that bounces off an object

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The technique could lead to high-quality 3D cameras and, further out, aid in the development of driverless cars

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The Akasha ClearSight Deep Imaging System produces extreme 3D images in unstructured environments