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.

At InOrbit we strive to build truly valuable tools for our users. That means layers of complexity allow experienced developers with complex multi-robot deployments to take full advantage of the depth of support and robust solutions our platform offers, but it also means accessible and streamlined interfaces with clear easy-to-understand startup documentation for those exploring InOrbit for the very first time.  InOrbit is for developers evaluating our tools for their robot projects, big and small. InOrbit is for robotics students interested in better understanding control and data software. InOrbit is for anyone excited to learn more about effective robot operations.

At InOrbit, most of our time is spent thinking about robots and how to make them perform better. But part of that vision includes robots and humans working together – without the human factor, robots are just a collection of metal and plastic parts. Here is another in a series of posts highlighting some of the outstanding humans on the InOrbit team, also known as InOrbiters. The posts aim to share details on some members of the team, what drove them to work here, and what they find most interesting about robotics and the development of the InOrbit platform.

Today we sat down with Elvio Aruta. a Release Engineer and QA Automation specialist at InOrbit. He lives in Mendoza, Argentina, and has been with InOrbit for exactly one year.

Big or small, every feature we develop for the InOrbit platform has a purpose. Every capability we support is built to help make the lives of robot operators, developers, managers, and their customers easier. Building on the philosophy of experiment-led development we’ve learned that sometimes what may seem small can have a big impact. And quality of life updates add up to make software more robust and ultimately useful. Today we’re diving into InOrbit’s Hi-rez camera feature.

When InOrbit launched the Free Edition of our platform back in October of 2021 we had no idea it would see so much success. Today we take some time to explore why it’s been such a positive and impactful launch for the InOrbit community and examine what users can expect if they haven’t had a chance to try Free Edition yet. These are the top 3 reasons people love InOrbit Free Edition.

Recently the InOrbit team was excited to host another in our series of fascinating webinars; this time on the state of automation in foodservice and the implications of robotics for the FoodTech space at large. As with the previous InOrbit webinars, CEO Florian Pestoni hosted a discussion with some great guest speakers bringing their insights and expertise to bear.

If you didn’t have a chance to join us the webinar is now available for free on-demand. Although you might first want to read on and explore some of our key takeaways from the discussion.

InOrbit is on a mission to maximize the potential of every robot. To do that, we educate and advocate for the adoption of effective robot operations (RobOps) and work to fulfill our promise of bringing DevOps best practices to robotics. Today we’re continuing that work, with the launch of new support for Configuration as Code.

This is a vital DevOps practice that has allowed massive data centers and cloud applications to scale. The configuration of every computing resource can be handled through code, such as scripts and API calls, enabling greater control and more advanced logic. This can then be managed through version control systems such as git, support rollbacks and more granular configuration based on different variables.  

At InOrbit, most of our time is spent thinking about robots and how to make them perform better. But part of that vision includes robots and humans working together – without the human factor, robots are just a collection of metal and plastic parts. Here is another in a series of posts highlighting some of the outstanding humans on the InOrbit team, also known as InOrbiters. The posts aim to share details on some members of the team, what drove them to work here, and what they find most interesting about robotics and the development of the InOrbit platform.

Today we sat down with Christopher Yao. Chris is a Sales Development Representative at InOrbit and works closely with sales, marketing, and the customer success teams. He lives in Mountain View, California, and has been with InOrbit for just over two years.

In the Star Wars universe, there is a light side and a dark side (also, just like duct tape). This duality can be represented in almost any area of technology – things designed to be good for humanity can also be turned bad by different people. Time and again, we’ve seen cyberattacks, security breaches and shutdowns caused by people exploiting systems that were designed initially to help people.

The Internet was built with a promise of unlimited information available at everyone’s fingertips, a truly egalitarian and noble concept. But along with the good it continues to provide, the Internet spawned dangers such as the dark web, spam, phishing, fake news and disinformation that spreads via social media and other sites.

Much has been written about the impact of automation. Since the beginning of the Industrial Revolution, when Luddites destroyed textile machinery to protest new technology that impacted traditional practices, there have been fears of humans being replaced by machines.

The reality is more complex. Automation has definitely affected certain professions and tasks, impacting people to a greater or lesser degree (when was the last time you rode in an elevator with a human operator?). This has resulted in workforce disruptions; however, the overall volume of work continues to grow, creating even more opportunities. Many people now wonder what the impact of automation will be over the next 15 years.