As robotics continues to evolve, addressing more use cases across many industries, it is critical to apply the best practices for robot operations, or RobOps. Modeled on DevOps, RobOps is a set of principles, processes and tools that guide robot manufacturers, operators and end users in the development and deployment of robots at scale. 

Today InOrbit announces the release of Data Backfill, adding to our growing list of RobOps tools designed to address specific challenges companies face when managing robot fleets at scale. This is another piece of the puzzle for how to maintain end-to-end observability under even the most demanding conditions, eliminating gaps in collected data by reconstructing a robot’s operating history through offline data saved and backfilled upon reconnection.

It’s the start of a new year, and it’s customary to look at the year ahead. In addition, February 1st will mark the start of The Year of the Tiger in the Lunar calendar. 

Over here at InOrbit, we believe that it will also be The Year of the Robot. As companies across industries become more comfortable with the use of autonomous robots to augment their workforce, growth in robotics deployments is accelerating.