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Fields of Application

Space Robotics: SpaceClimber (Photo: Florian Cordes, DFKI GmbH)

The research area Space Robotics deals with the development of intelligent robots for extraterrestrial

exploration focusing on:

Development of robot systems for unstructured, uneven terrain based on biologically inspired

innovative locomotion concepts

Development of multi-functional robot teams usable for different tasks ranging from in-situ

examinations to the organisation and maintenance of infrastructure

Reconfigurable systems for planetary exploration

AI-based methods for autonomous navigation and mission planning in unknown terrain

Image evaluation, object recognition and terrain modelling

AI-based support systems for scientific experiments

Underwater Robotics: CManipulator (Photo: Jan Albiez, DFKI GmbH)

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This area deals with the development and realization of Artificial Intelligence methods in underwater

systems. Main points of research are:

Development of systems for user support in remote-controlled underwater vehicles employing

virtual immersion methods

Design of methods for autonomous manipulation and mission planning of robot arms in

underwater applications, particularly with state-of-the-art sensor technology, such as "Visual

Servoing"

Image evaluation and object recognition with modular and intelligent underwater cameras

Design of control methods for next-generation autonomous underwater vehicles

Development of biologically inspired and energy-efficient methods of transport for underwater

vehicles, such as oscillating systems

Electric Mobility: EO smart connecting car (Photo: PR Fotodesign, edited

by: DFKI GmbH)

In the field of electric mobility we are testing concepts for electric vehicles, battery charge

technologies, and the collection of vehicle data. We are creating models for intelligent,

environmentally sound, and integrated urban mobility. Our research focuses around:

Development and demonstration of innovative vehicle concepts

Design of new approaches to mobility and traffic control, application support, technologyintegration

Data collection by fleet tests with technologically different electric vehicles (seeE-Mobility

fleetin Research Facilities)

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Coordination of the regional project office of the model region Electric Mobility

Bremen/Oldenburg

Virtualization of the model region, simulation of future, larger vehicle fleets, and predictions of

the effects on the model region in terms of traffic volume, infrastructure needs, environmental

pollution, and economic efficiency

Creating a foundation for new business models and traffic concepts on the basis of the data

previously collected

Logistics, Production and Consumer (LPC)

LPC: Robotlady AILA

In the area Logistic, Production and Consumer (LPC) new systems are developed which will improve

handling and scheduling tasks by using methods of Artificial Intelligence and innovative mechatronic

concepts:

Fast, self-learning image recognition and classification to identify production faults

"Visual Servoing"-methods to sort piece goods

Intelligent production memory based on RFID chips in logistic chains

Handling of deformable piece goods

SAR: Advanced Security Guard (Photo: Studio Banck GmbH & Co. KG)

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In this area, robots will be developed to support rescue and security personnel. Main points of ourresearch are:

Development of highly mobile platforms for indoor and outdoor applications

Development of autonomous systems that are able to identify potential victims (SAR) orintruders (Security)

Development and application of state-of-the-art sensor technology based on radar, laser scanner,and thermal vision to identify objects and persons, resp.

Embedding of robot systems into existing rescue and security infrastructures

Autonomous navigation and mission planning

Cognitive Robotics: Capio (Photo: DFKI GmbH)

Our research deals with the development of intelligent agents which learn through interaction

with the surroundings and are capable of collecting information about their environment and of

independently identifying options for acting. Main points of our research are:

Development of adaptable, robust learning architectures

Integration of intelligent materials

Representation of senso-motorical information

Alternative morphologies and mobility concepts

Application of biologically inspired concepts for

Developing the morphology of robots and their learning algorithms

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Steering and control algorithms

Development of new concepts for human-robot-interaction through investigation and

development, resp., of common communication paths

Self-evaluation in technical systems Scaling decision-theoretical planning procedures to heterogeneous multi-robot systems

Deal with continuous, restricted resources in a multi-robot framework

Decision-theoretical planning frameworks

Adaption of biological control concepts for the development of fail-safe, redundant and energy-

efficient control