Roboception Interview with Dr Michael Suppa

Interview with Dr Michael Suppa, Roboception: roboception.com
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German business Roboception is an expert in offering 3D perception solutions for robots and other automated systems. Munich, Germany serves as the company's headquarters. It was established in 2015.
Roboception's main goal is to offer dependable and high-quality 3D perception solutions for a variety of robotic applications. The rc visard, a 3D sensor that can be put on many kinds of robots and other automated systems, is the company's main product. High-resolution 3D images of its surroundings are captured by the rc visard using stereo vision technology. These images can be utilised for a variety of purposes, including object detection, localisation, and navigation.
Roboception offers a set of software tools in addition to the rc visard to assist users in integrating their 3D perception solutions into their current systems. These tools include software for processing the 3D data to draw out meaningful information, an API for managing the rc visard and accessing its data, and other utilities.
Customers of Roboception come from a variety of sectors, including agriculture, industry, and logistics. For jobs like bin picking, palletizing, and quality control in manufacturing as well as crop monitoring and harvest planning in agriculture, the company's 3D perception technologies can be used.
In general, Roboception is a top supplier of 3D perception products for robotics and automated systems. The company creates hardware and software tools that are dependable, simple to use, and versatile enough for a variety of uses.
Philip English
Hi, guys. It’s Philip English here doing our Robo Philosophy interviews. Today we got Michael Super from Robo reception. And yeah, as normal we’re just going to have a run through, have a chat with Michael Cool just to get an understanding of himself and what Robo reception does. Yeah. Welcome, Michael.
Dr Michael Suppa
Hi Philip, nice to meet you today.
Philip English
Cool, thank you. Thank you. So to start with, I think I’m quite interested in getting a bit of background about yourself to start with, how you sort of came up with the idea and a bit of background and history for how you, I suppose got into the robot scene and the robot market.
Dr Michael Suppa
Yeah, sure. So basically started as studies in electrical engineering in the University of Hanover. Finished that studies and then I went to the German Aerospace Center as a research engineer first. And then we focused on robot vision for robotic systems, basically when I was working there like for 14 years. And then we decided that this three vision thing is something that we should actually bring to market. And based on that, we found a Roboception as a spin off from the German Aerospace Center of Robotics. And so we have a research background in robotics, so to say, and spun that off into like, like a startup company in 2015. And yeah, based on that we are working since mostly in industrial automation logistics and newly also lab automation, but also have close contacts to universities as I’m also a professor at the University of Greenman, so I still kept touch with a research community while being in a startup. So we are also doing a lot of innovation research projects together with the university. So, yes, we want to always keep up to date with the top latest developments from research and see on the other side what’s needed in the market. So that’s a little bit our positioning here.
Philip English
Right. Fantastic, fantastic. And then I suppose some of me so this is obviously. 3d camera perception. So what’s the difference between a normal camera and a 3D camera?
Dr Michael Suppa
Perfect. Sure. So usually when you have, like, a 2d camera, you either need to know the size of the object or the correct distance in between the camera and the object in order to do, like, postestination, which we are mostly. Doing for a 3d camera that comes basically out of the system itself because you either have, like, a stereo system, which we are mostly using, or, like, time of light or others, where you’re getting, like, the set dimension...
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