In general, do you first develop this technology in a large application context, then look for use cases and carry out the transfer in this direction?
Dr. Armin Wedler: Yes, basically you can put it that way. So my robotics team, which I coordinate here, is primarily concerned with the drive technology from the rover on planetary surfaces. The focus is on the control system, the so-called locomotion subsystem, which implies the design of a landing gear, or the control options. The remotely operated system has to perceive its environment, which is done by perceptive methods. Thereby, it must be possible to execute the remote control and technologies even if problems and disturbances occur, such as high data and communication failures, delays or low bandwidths. We are dealing here with the so-called SLAM problem, or Simultaneous Localization and Mapping, where we map the environment and register ourselves in it at the same time. In doing so, we estimate our self-motion as well as position and are then able to act autonomously, semi-autonomously and remotely as well.
This is exactly what we have for space. There is the requirement of how to operate a Mars rover with different constraints. So far, we may not have it in what we call a technology readiness level, which is a flight version for a terrestrial application. But we have a great deal of experience in this field, and it is an area of research in which we are working very intensively and in which we are also very well positioned in Germany in an international comparison. We are applying this experience to terrestrial humanitarian aid. And this has parallels with autonomous driving, although here we are clearly dealing with an unstructured environment. That's also where the big difference is, because we don't have lines that we can recognize and we don't even have a road anymore in some cases.
So the vehicle that we're automating is an amphibious vehicle: it can swim and drive. In addition, it has to be fit for the very harsh environment. In part, we also don't have GPS, which is a great basis for localization in autonomous driving. We only have our perception sensors in the form of a camera- and laser-based perception array, which is what we mount directly on the vehicle. We are also looking at how the communication link can be kept secure, even if failures occur, so that we can still operate the vehicle safely and robustly.
Are there any findings from these projects that can also be used for autonomous driving - i.e. for everyday life in the future?
Dr. Armin Wedler: That can be clearly deduced. We operate in joint projects with other SMEs and spin-off from our institute. Roboception GmbH, which works on stereo image data processing, primarily deals with the industrial environment, so is responsible for grasping or recognizing objects in the automation environment, in the normal robotics deployment environment, but also already with mobile systems. Agricultural robotics, for example, has already been promoted in various other projects and there are such application fields in warehouse logistics.
The company Blickfeld, for example, has developed an innovative solid-state laser. With a very small and compact design of the laser technology, it offers active sensor technology to get depth image information even over a greater distance.
The company Sensodrive GmbH makes drive technology for industrial robots, such as for KUKA. The company is very active, especially in torque devices - power devices - and sensitive drives. And it automates for us here, for example, the haptic input devices, as well as the various interfaces that we have to the vehicle.
With the support of Bayern innovativ and the World Food Programme, DLR is pursuing the goal of promoting technology and putting it to use for humanitarian aid and then possibly implementing it again in non-humanitarian areas. We work together with the spin-offs in this project on the humanitarian challenge at A.H.E.A.D to make such a vehicle remotely controllable. But they are also working with other project partners for vehicles, automation, industry, automation or on other derivatives.
The interview was conducted by Dr. Tanja Jovanovic, Head of Technology and Innovation Management at Bayern Innovativ GmbH.