Projects and products of the department MRD

The SAPHARI project aims to enable active and safe workspace sharing between humans and robots. All essential aspects of safe, intuitive physical interaction between humans and complex, human-like robotic systems are addressed. While encompassing safety issues based on biomechanical analysis, human-friendly hardware design, and interaction control strategies, the project will develop and validate perceptive and cognitive key components that enable robots to track, understand and predict human motions in a weakly structured dynamic environment in real-time.

The deflectometric measurement method uses specular reflection: mirror images of known patterns in the surface and their deformations are observed to automate the quality inspection of painted car body parts, for example.

Concepts and procedures for the robust localization and navigation of underwater vehicles and for the realization of the planned inspection and exploration capabilities are developed.

The "Competence Centre for AI Engineering CC-KING" offers companies concrete support in the use of methods of artificial intelligence (AI) and machine learning (ML). It researches the basics and develops tools for a low-threshold implementation of AI and ML in business practice.

To counteract the challenge of the constantly growing volume of traffic, especially in urban areas, six Fraunhofer institutes are developing a scalable, flying experimental platform with the VTOL (Vertical Take-Off and Landing) capability of a multicopter and the aerodynamic advantages of a glider, which is to be approved for test and demonstration flights.

On this site, we provide information to a unit for measuring steering wheel angles and pedal positions in vehicles, where internal sensors cannot be installed or accessed via CAN or FlexRay bus.The method1 is called Frequency-Labeled Offset Redording (FLOR).

Fraunhofer IOSB's "Algorithm Toolbox for Autonomous Mobile Robots" allows a large number of different mobile platforms to be equipped with the autonomy capabilities that are relevant for their respective application without great adaptation effort.

Artificial intelligence for situation detection and maneuver planning in fully automated vehicles in cooperation with Valeo Schalter und Sensoren GmbH

EXPERT is an EU-funded project with German and Spanish partners that aims to support drivers in driving in a fuel-efficient manner. To achieve this goal, a software module ("Driving Efficiency Module") is being developed in the MRD department of Fraunhofer IOSB.

System concepts for the urban mobility of tomorrow

As part of the project, a software suite tailored to the production environment was developed to support a wide range of process and product optimisation tasks, e.g. performance and condition monitoring, quality optimisation, product development, variant management, trial planning and updating of master data.

Within the E-MonAut project, measures for the optimization of the operational management are investigated and evaluated. These measures are expected to make a comparatively large contribution to the reduction of the final energy demand with a relatively low investment volume while at the same time actively protecting the building fabric (e.g. prevention of mold growth) and considering the individual user needs (comfort and economic criteria, information requirements).

An excavator works without an operator? Yes, there is one. It was developed by the Fraunhofer Institute for Optronics, Systems Engineering and Image Exploitation IOSB in Karlsruhe. The autonomous excavator "IOSB.BoB" ("excavator without an operator") can, for example, salvage hazardous materials or remove contaminated soil layers and represents a flexible demonstration and development system for testing scalable autonomous functions.

In the BMBF project AgriApps (application modules for the automated management of special agricultural crops) a modular concept for the automation of agricultural tasks is being researched. An autonomous robot can be equipped with different "apps" that perform different tasks. Thus, a high utilization of the robot over different seasons and thus an economical operation can be achieved.

SENEKA's project idea is to provide the emergency and rescue services with dynamically networkable sensors and robots in the event of a disaster in order to significantly shorten the two most important phases of disaster management for saving human lives - the reconnaissance of the disaster area and the search for victims and sources of danger.

Pfadplanung für einen teilautonomen mobilen Bodenroboter im Rahmen des Projektes SAM-UGV: Semi-Autonomous Unmanned Ground Vehicle System Demonstrator

Method for in-pipe navigation for the virtual inspection of sewer networks