How Is The Field Surrounding Autonomous Robotics Advancing?
In the robotic field, we are excited about its advancement. Technology is driving us into the future in ways we could have never imagined. Watch the video below as Tom breaks down how the field surrounding autonomous robotics is advancing. Also, he shares thoughts about data as a service, autonomy as a service, environment as a service, and more.
Where is the field of autonomous robotics going? One significant development path that is going to drive a lot of advancement is the sophisticated visual input that cameras output in terms of creating an environment in the robotic brain about where it is and where it needs to go. Part of that is the processing power required to take all the camera input and turn it into useful data. With the sophistication level going up, the cost of these units are going down.
Data As A Service, Meet Autonomy As A Service
These days, autonomous devices can navigate and avoid obstacles while performing incident handling with the use of these more sophisticated cameras. So it seems natural that the availability of visual data becomes something that has the potential to be delivered as a service. This means the customer doesn’t have to go out and gather environmental schematics data as the robotic vehicle has already gathered and sold said data.
The area could have been previously surveyed by another robotic vehicle. At this point, you can use Google maps or some other type of functionality to download this information. This of course is a long-term goal in the future, but it is something we are aiming for in terms of making autonomy as a service a more robust and widespread solution for different problems. Click here for more information on how Inertial Sense can guide you to the right autonomous vehicle for you.
So where is the field of autonomous robotics going? I think that there’s one significant development path that is going to drive a lot of advancement in autonomy as a service, it’s the sophisticated visual input that cameras can do in terms of creating that environment in the robot’s brain about where it is and where it needs to go. And part of that is just the sophistication of the camera input. But also a part of that is the processing power required to take all that camera input and turn it into meaningful data. And not only is the sophistication level going up, the cost of those units is going down.
So I think you’re going to see much more rich ability for autonomous devices to both navigate and avoid obstacles and do incident handling with the use of these more sophisticated cameras and all the processing that takes place on them being driven down both costs and availability.
I think a natural outgrowth of that is the availability of that visual data becoming something that is, has the potential to be delivered as a service. So the robotic vehicle does not have to go out and necessarily gather all that data.
That data might have already been gathered by some previous robotic vehicle, or even just sort of a survey of that particular area, and that environment could be downloaded just like a Google map or some other type of functionality. So that sort of data as a service and the environment as a service is something that we see longer term down the road, but I think it’s something that we’re all kind of aiming for in terms of making autonomy a much more robust and widespread solution to different problems.