Looking back at our 2021 predictions: How’d we do?

By Team InOrbit

As the days of 2021 come to a close, we quickly anticipate the new year and all of our exciting new projects atInOrbit. But before we flip the calendar, let’s take a look at the trends we predicted back in January to see how we did. Was our crystal ball clear or cloudy?

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InOrbit 2021: a year in review

By Team InOrbit

This past year saw major changes for InOrbit, and we couldn’t be happier with the results. Through experiment-led development, lots of trial and error, and some great connections with our friends and family in the robotics community (that’s all of you), we’ve made our platform more accessible, and robust for our users.

As 2021 comes to a close we are taking time to look back and reflect, if only for a few minutes on the year that was, and highlight some of our successes.

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Experiment-Led Product Development

Hernan Badenes

The value of early feedback in any product development – including software – is, well, invaluable.

Software development has evolved over the last 20 years to allow for more incremental or iterative development, to help eliminate the problems of delivering a product that a customer doesn’t want. We all know software engineers who have suffered from spending monumental time and effort on creating something that ends up being the wrong product, tool or app.

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How InOrbit no-code embeds can customize user interfaces that interact with robots

Barbara Martinez

In our experience, robot manufacturers orchestrate specific robot tasks either with internally developed software that mostly works, or a hacked version of something off the shelf that sort of achieves their goals. In reality, “mostly working” and “sort of” does not cut it when it comes time to grow a robot fleet. Many software solutions that attempt these tasks are often opaque and keep developers in the dark, limiting the necessary customization around unique robot deployments. 

From the ground up, the InOrbit platform is designed to let users orchestrate and monitor their robots. The data platform is built to report, control as needed and manage a robot fleet to facilitate autonomy.

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Meet an InOrbiter – Ryu Sakai

By Team InOrbit

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 our User Experience Designer, Ryu Sakai. He lives in Chandler, Arizona, and has been with InOrbit for about a year and a half.

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Orchestrating our Thoughts on RobOps

By Team InOrbit

Individual instruments in the hands of a professional musician can sound wonderful, but when many different instruments come together in an orchestra or band the result can be awe-inspiring and magical.

We think the same thing can be said about robots and robot operations (RobOps). Individually, a single robot can perform some pretty amazing tasks to help human co-workers with their jobs. But when you add several robots and then add different types of robots to the system performing different tasks, the end result can be an amazing workflow that exponentially scales efficiency for a company.

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Last-Mile Delivery Automation Heats up as Temperatures Drop

By Team InOrbit

Next week will mark the unofficial start of the holiday season for many online shoppers, whether this means you’ll be skipping out after Thanksgiving dinner to look for deals, hopping on your laptop on Black Friday to avoid the long lines at physical stores, or taking advantage of your high-speed connection at the office (for those that still work in offices) on Cyber Monday

With the continuing surge in online orders expected this year, a big question will be how many packages will be delivered through robots, drones or self-driving vehicles over that “last mile”, where a package leaves a sortation center to get to a customer’s house.

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Robots 💗 Pizza

Florian Pestoni

With all the talk about the metaverse, the 2000 cyberpunk novel Snow Crash that popularized the concept has been in the news. Reality has also been catching up with other key ideas proposed by its author, Neal Stephenson. 

The book paints the picture of a near-future where the pizza business had been taken over by technology-heavy corporations, including a totally legit CosaNostra Pizza, Inc. Deliverators are a sort of katana-wielding DoorDash driver on steroids, driving souped up, battery-powered cars. “Your pie in 30 minutes or it’s free” is the promise, prompting customers to want to lie about when they placed their order.

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The Next Step In Digital Transformation Is Software-Defined X

Florian Pestoni

Today’s cloud was made possible by virtualization technology, which creates a software-based representation of hardware equipment. Virtual machines, such as those popularized by VMWare and the hypervisor technology that manages VM execution, make it possible to run different software on the same machine. 

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Season of change, looking forward to more

By Team InOrbit

One of the best indicators of the change of seasons is when the leaves begin to fall, the days get shorter and the air gets colder. It’s happening now in the Northern Hemisphere, while our brothers and sisters in the Southern Hemisphere get the opposite effect – they are preparing for the warmer weather in the months ahead.

Regardless of your location, this time of year presents a chance to look back on the past season as you prepare for the next one. We are doing the same thing here at InOrbit. These past few months have been very exciting. We’ve launched some new products and services for our users, as well as continued to share knowledge and information about how RobOps can help robot makers and robot deployers across different markets.

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