“What jobs can our autonomous navigation tech assist with?” is a common question we get. You also might be wondering, our company is looking to go fully autonomous. But what does that mean for our employees? Watch the video below as Tom and Brett discuss how autonomy can help expand your business.

Autonomous vehicles can replace a lot of manual labor. However, the human touch never truly goes away. You still need humans to maintain the autonomous fleet to ensure they are running smoothly.

Even with autonomous vehicles being implemented into your business, we are not looking to replace your employees. We are looking to build your business. Let Inertial Sense help you do that today!

 

Learn More:

What Are The Steps To Implementing Autonomous Navigation Tech?

The Autonomous Navigation And Sensing DNA Of Inertial Sense

Why Manufacturers Of Workhorse Vehicles Get Excited About The LUNA Autonomous Navigation Platform

 

Video Transcript

“What jobs can our autonomous navigation tech assist with?” is a common question we get. So when our customers are looking to fit this into their strategy, what kind of jobs are they expecting this to fill is this? Is our technology going to help? Is it going to be replacing a bunch of, you know, workers out there who are mowing, or how does this really fit into maybe their customers?

Sure, sure, so, for their customers, it’s very much an economic decision. It’s all about, you know, again, to go back to the commercial groundskeeping market, you know. Labor is seventy percent of a landscaper’s cost, so they don’t, it’s not that they want to eliminate people. It’s that they want to run their business more efficiently. I think both the landscapers and the manufacturers understand that this is going to be an iterative process.

No, we’re not just going to throw, you know, two thousand pound commercial robotic vehicles onto a golf course and just go away and leave them. I think it’s going to be a process that starts with semi-autonomous, where if you needed ten people for a job, well maybe you need six now and one person is looking out for two robots that are out in the field while doing another type of work, and if something happens and they’ve got to go fix it, they can go fix it and then come back.

And there’s also some notion of the robots being able to work together. One breaks down, another robot figures it out and goes and covers that area, but it’s gonna start off being semi-autonomous where you’re just reducing the labor cost, you’re not eliminating it. I think even in the end there will still be the human factor involved.

Yeah, because it doesn’t seem like, you know, the autonomous mowers are going to be edging things or to be taking out garbage or something like that. Well, leaf blowing, maybe, or something, 

Well, eventually, yes eventually yes. But I think the ones that are taking a very sober look at how the market’s going to develop are thinking, well let’s build a solution that solves eighty percent of the problem today and that would make us happy. That would make our customers happy. The amount of effort required to get to that final twenty percent may not be worth the first iteration, but after a couple of iterations, you’re kind of there, and I think that’s less dependent on you know, sort of the manufacturer’s expectation and more about how smart our machine learning is getting based on the hundreds of thousands of hours our vehicles are spending in the field with our robotic brain learning about how to navigate spaces. So we just get smarter over time so will we reach 100 percent? Probably not. But will we go from 80 to 95? Yes, absolutely. 

And that’s probably the majority of what’s available in the market to cover anyway that’s practical for a robot to do. 

Yeah, and if you look at the typical commercial groundskeeping job, much of it is usually in an environment where GPS signals pretty good, there aren’t a ton of obstacles, and you can sort of map out the area once and be pretty good about.

Yeah.