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Autonomous driving plays an important role in the commercial vehicle sector. Tractors driving autonomously across fields or excavators digging a hole on their own. The range of applications is wide. Researchers at the Robotics Research Lab at Technische Universit盲t Kaiserslautern (TUK) are working on how such vehicles can be adapted to the respective field of application. The team will be presenting their work at the Hannover Messe from 30 May to 2 June at the Rhineland-Palatinate research stand (Hall 2, Stand B40). In addition to videos, a small robotic vehicle will be on display, which the researchers will use as an example to demonstrate their system.

Tandem rollers driving autonomously in a convoy and compacting a new road surface, and cranes moving their loads themselves while keeping a close eye on their surroundings. Or excavators autonomously loading trucks with sand, and combine harvesters autonomously driving in tandem across the fields during harvesting. For commercial vehicles to act autonomously in this way, the requirements are quite different from those for autonomous passenger cars on the road. 鈥淔or example, there is no road boundary for the vehicles to orientate themselves by,鈥� explains research assistant Alexander K枚pper. 鈥淥ften they are operating in rough terrain and have to recognise trees or rocks, for example. We have different conditions to consider for each area of operation.鈥�

At Professor Dr. Karsten Berns' Robotics Research Lab, the team is looking into the automation of various vehicles, especially in the field of construction sites and agricultural machinery. Among other things, the researchers are studying various sensors and algorithms used in the machines to help recognise the environment. 鈥淲e are also working on new control systems to be used in the vehicles for this purpose,鈥� adds Alexander K枚pper. These procedures allow the vehicles to adapt to their environment. 鈥淚n doing so, we try to break down the main task into many subtasks. Next, we use special methods to merge their solutions, resulting in an overall behaviour for the vehicle. For example, one subtask may be to drive on uneven terrain, another to prevent the vehicle from tipping over. By merging the two, the result is a safe driving route through the terrain.鈥�

The researchers are also working with alternative computer systems. 鈥淲e are looking to get away from the classic personal computer in this regard," says Alexander K枚pper. Among other things, the team relies on so-called SoPC boards. 鈥淭his is a mixture of a classic processor and programmable hardware,鈥� he explains. The advantage: This technology can be flexibly adapted to the individual requirements. By tailoring the computer architecture to a specific task, it can be processed much more efficiently.

Many different projects are applying the approaches developed by Robotics Research Lab, such as autonomous excavators to straighten terrain or to dig high-precision trenches. But also in agricultural machines that can detect where to harvest next based on the cutting edge.

At the Hannover Messe, the team will be presenting its research results using videos and a small experimental robot. The exhibit will also present the work in the scope of Offene Digitalisierungsallianz Pfalz (Open Digitalisation Alliance Palatinate), with which the team from the Robotics Research Lab is involved in transfer.

For videos of the Robotics Research Lab, visit

Questions can be directed to:
Dipl.-Ing. Alexander K枚pper
Robotics Research Lab
Phone: +49 631 205-3338
E-mail: koepper@cs.uni-kl.de

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Klaus Dosch, Department of Technology and Innovation, is organizing the presentation of the researchers of the TU Kaiserslautern at the fair. He is the contact partner for companies and, among other things, establishes contacts to science.
Contact: Klaus Dosch, Email: dosch[at]rti.uni-kl.de, Phone: +49 631 205-3001

Offene Digitalisierungsallianz Pfalz
Offene Digitalisierungsallianz Pfalz is a joint project of Kaiserslautern University of Applied Sciences, Technische Universit盲t Kaiserslautern and the Fraunhofer Institute for Industrial Mathematics (ITWM). The project enhances the transfer of ideas, knowledge and technology with industry and society and is based on a cooperation strategy of the two universities. Offene Digitalisierungsallianz Pfalz is funded by the Federal Ministry of Education and Research within the framework of the federal-state initiative 鈥淚nnovative Hochschule鈥�.