News and blog
It’s time to take our heads out of the sand, dial down the alarms, and take action.
Many robotics startups fail to invest in efficiencies and infrastructure that allow them to scale. We dive into that in this post.
We believe that the future of robotics is one where you have one operator managing hundreds or thousands of robots. With our platform, operators at robotics companies become superhumans.
The term “fleet management” currently describes an array of activities so diverse that it undoubtedly causes far more confusion than it could ever make up for in convenience.
By adopting a robust, scalable approach to analytics today, companies can both realize immediate gains and safeguard themselves against robotics’ rising tide of complexity.
Formant’s Head of Software delivering the keynote at ROSCon2019 in Macau.
Head of Solutions, Abraham Dauhajre, on data collection for fleets.
Here’s why we used Unity to build a simulator for our robot fleet management platform.
Today Formant announced the availability of their platform, which enables businesses to automatically collect and analyze robotics data.
This first post will cover how we secure end-to-end encryption and identity throughout our stack.
How to scale a robot company.
Formant has acquired Formation, a robot teleoperation startup based in Pittsburgh.
Formant’s Head of Software, Ian Sherman, was the featured guest on Mike Julian’s Real World DevOps.
We approached the ML tuning problem from the assumption that it could be done differently: in an intuitive, visual way.
Here’s how Formant would be a better choice than a home-brewed solution.
Here’s your intro to robotics observability platforms.
For robotics applications to achieve the same high availability we’ve come to expect from web services, we need better observability in robotics.
The bottom line is this: when the next wave of autonomous and semi-autonomous machines come online in the coming years, they will bring with them a tsunami of data.
TechCrunch: “Until workplace robots are truly autonomous and don’t require any human thinking, we’ll need software to supervise them at scale.”
ZDNet: “Google X roboticists and engineers aim to provide solution to make sense of robot data in industries such as retail, construction, automotive and healthcare.”