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Oliver Zweigle
Senior Vice President of Engineering & Chief Technology Officer, FARO TECHNOLOGIES INC

Oliver Zweigle, Innovation Manager, FARO tells about a robot that does 3D scanning

🎥 Nov 18, 2015 📺 Geospatial World ⏱ 6m 👁 626 views
Oliver Zweigle, Innovation Manager, FARO.
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About Oliver Zweigle

In 2016, Oliver Zweigle, then Innovation Manager at FARO, demonstrated a robot designed to automate the 3D scanning process. He stated that the robot was developed to reduce the time operators spend waiting during scans, which typically take eight to ten minutes. According to Zweigle, the robot autonomously moves to pre-set scan points, stops to capture a 3D scan, and then proceeds to the next position, using sensors including a camera and laser scanners for navigation and obstacle avoidance. He described the robot as "very reactive and safe," capable of navigating through crowds without collisions. Zweigle also noted that the robot could be remotely controlled for use in hazardous environments such as nuclear power plants. He explained that users could create a 2D map of the environment via a graphical interface, set scan points, and then initiate an autonomous scanning session. The robot's battery life was cited as six to eight hours, and its speed was set at approximately 0.8 meters per second for safety, though it could theoretically reach two meters per second. Additionally, Zweigle presented a new indoor version of the robot, which he described as lightweight, foldable, and portable in a rucksack for easy transport to scanning projects.

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Transcript (1 segments)
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Oliver Zweigle0:05
We have a 3D scanning process where the acquisition of the data and the scanning takes some time. So basically, for our normal 3D scan including the pictures, eight to ten minutes, and in this time the operators always have to wait. We want to reduce this time as much as possible, so consequently there's the idea to automate this complete process. In this case, the robot will go to the scan points, stop there, take the 3D scan, and move to the next positions. Besides this, there's the possibility also for people who need remote control to control the robot directly on their own, to go for example in dangerous areas like nuclear power plants or stuff like this. Buttons over here are just for switching the robot now back on. So now it's driving completely autonomous to the next scan point. And what you can also see is the obstacle avoidance, so it's also driving through all the people without any collisions or problems. So we would have here now a typical scan point where we take a 3D scan and then we continue our movement. And you see the robot is really very reactive and safe. So if I'm stepping in front of it, it's not driving into me, but it always tries to find the best way around the obstacle. In this case, there are different sensors. In this case, we have a camera for 3D navigation, we have the laser scanners, and some kind of intelligent software that solves the rest of the problem. The idea I've already mentioned before: yes, it's the automation of the 3D scan process. So we want that the customer can save time and also later take the positioning of the system to automatically register the scans. You have a 2D map of the environment in this case, and you can give the robot certain scan positions in a graphical user interface available for example for Windows or also for mobile devices. As I already mentioned, this is a demonstrator. What you see here as the software, so we are now connecting, we are wireless on the robot to check actually what it is doing. Normally you don't have to do this when it's driving. It always takes a second here in this environment till my notebook is connected to the wireless. This is the software what you see here. So you also have, similar to SCENE for example, your projects. First of all, when you start a new project, you press for example the new project button and you call it test project now. And then you have a new project, and then you can start here for example by remote control the mapping process of the environment. So we create a new project, let's call it for example test one, and now we have the possibility here to create in a very fast way the environment map by just remote controlling the robot and driving around. This is a very fast process if people are not standing directly in front of you. Then you can go around and you can see on the screen how the 2D map is building up. At the end when you finished with the mapping, let's say here stop mapping, we can set different kinds of scan points. So we have, for example, the complete map in this case of the exhibition, and we can basically here set our scan points where the robot will later stop. We have in this case a starting position where we can navigate the robot too. So let's go there. And finally, you just press the start scan button, wait for 20 seconds, and the robot will start driving. Then you can close your notebook and do some other important work while the robot is scanning for you. The battery can run six to eight hours depending on how much the robot has to drive in between. In comparison with the scanner, or also together with the scanner, it's then possible to have one working night or one working day. This depends on you. You can put an SD card inside, so you can take whatever SD card is available. The robot can theoretically go up to two meters per second, but here in this case we are running at approximately 0.8 meters per second out of 50 reasons. What you see here is the brand new development of an indoor version. It is also a robot for scanning, it's just made for indoor and flat floor. So the advantage here is that it's really, compared to the other world, very lightweight. It's mounted on a normal dolly, you can just fold it, put it in your rucksack, go to your scan project, unfold it, and start the automated scanning.