Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:


Innovative image processing for service robots


Fraunhofer IPA presents new technologies for 3D environment perception and object recognition

Warehouse robots capable of sorting chaotically delivered parts; domestic assistance robots able to distinguish between graspable objects and living areas; cleaning robots that detect and remove dirt: the systems developed at Fraunhofer IPA for three-dimensional object recognition and environment sensing allow robots to accomplish even complex tasks.

3D object recognition in variable light conditions or when partially hidden.

Image credit: Fraunhofer IPA

3D environment perception: The initial situation (left) is segmented into homogeneous areas (centre). Then the surface properties are determined (right) (e. g. green cylinder).

Image credit: Fraunhofer IPA

At Automatica 2014, Fraunhofer IPA will present innovative technologies for image processing and collision-free manipulation in a dynamic environment.

Accurate, fast, flexible and easy to operate for the user: these are the key criteria for real-world 3D image-processing solutions for robot systems. Fraunhofer IPA has developed a diverse and versatile software library for automatic object recognition and teach-in as well as for three-dimensional environment sensing.

At Automatica 2014, Fraunhofer IPA will demonstrate not only how a robot system can execute collision-free motions, including in a dynamic environment, but also how it can reliably recognize, classify and grasp objects.

Recognition and classification of textured and textureless objects

To reliably manipulate objects in a dynamic everyday environment, a robot system must be capable of recognizing and localizing the objects. The image processing searches selectively for feature points, which are assembled into a model and stored. This makes it possible for objects to be recognized also in variable light conditions or when partially hidden. And that’s not all the 3D object recognition system can do: the combination of geometrical shapes also allows it to determine the class or category of an object.

For example, the robot “knows” that a table is made up of a horizontal panel on top of four vertical cylinders, that a bottle is an oblong cylinder, a milk carton is a rectangular solid and a dish is a hemisphere. “Thanks to the combination of object recognition and classification, the robot can independently ‘learn’, or be intuitively taught to identify, specific objects or general object classes,” explains Jan Fischer, research assistant in the Robot and Assistance Systems department.

“Also in a variable environment, it is capable of reliably recognizing objects – in under a second.” The exhibit at Automatica 2014 will demonstrate the fast and reliable recognition of any object in an undefined environment.

Environment perception

To generate a 3D map, the robot senses its environment three-dimensionally using a combination of colour camera and depth camera, which produces a point cloud with accurately assigned distance values. The point clouds, which are recorded at different times, must first be registered in a common coordinate system. Next, the point data are segmented into geometric primitives, such as polygons.

This makes it possible for the relevant regions and objects to be reliably identified in real-time. In addition to collision-free navigation and manipulation, this also allows the option of remote control by a human operator, who can make sense of the communicated data more quickly. “We have many years of experience in this area and can offer a versatile technology capable of being tailored to suit different requirements and applications,” says Georg Arbeiter, project manager in the Robot and Assistance Systems department.

The exhibit at Automatica 2014 will demonstrate collision-free manipulation in a dynamic environment. Workpieces are moved alternately by two robot arms, the second arm in each case representing a dynamic obstacle. The methods developed by Fraunhofer IPA use camera data to generate an environment model that is used as an input for planning the motion of a robot arm. Both moving obstacles and graspable objects can be identified. This makes the method suitable for applications requiring fast and flexible reactions to changes in environment.


Learnable 3D object recognition and environment sensing can be used in a variety of areas and have been successfully implemented by Fraunhofer IPA in a wide range of different applications:
-in an industrial setting for autonomous driverless transport systems or for handling, warehousing and sorting operations;
-as a key technology for developing advanced assistance robots designed to provide a higher quality of life to people who are in need of assistance;
-to support growing automation in agriculture, e.g. to detect when fruit and vegetables are ready for picking or to enable milking robots to identify and localize cows’ udders;
-to enable cleaning robots to automatically detect dirt.

Dipl.-Ing. Georg Arbeiter,, phone +49 711 970-1299
Richard Bormann M.Sc.,, phone +49 711 970-1062
Dipl.-Inf. Jan Fischer,, phone +49 711 970-1191

More at Automatica – 6th International Trade Fair for Automation and Mechatronics
3 to 6 June 2014
New Trade Fair Centre Munich
Hall A4 | Stand 530

Weitere Informationen:

Jörg Walz | Fraunhofer-Institut

Further reports about: Automatisierung IPA Produktionstechnik Trade classification identify processing sensing sorting

More articles from Trade Fair News:

nachricht Creating living spaces for people: The »Fraunhofer CityLaboratory« at BAU 2017
14.10.2016 | Fraunhofer-Gesellschaft

nachricht Reducing Weight through Laser-assisted Material Processing in Automobile Construction
13.10.2016 | Fraunhofer-Institut für Lasertechnik ILT

All articles from Trade Fair News >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Light-driven atomic rotations excite magnetic waves

Terahertz excitation of selected crystal vibrations leads to an effective magnetic field that drives coherent spin motion

Controlling functional properties by light is one of the grand goals in modern condensed matter physics and materials science. A new study now demonstrates how...

Im Focus: New 3-D wiring technique brings scalable quantum computers closer to reality

Researchers from the Institute for Quantum Computing (IQC) at the University of Waterloo led the development of a new extensible wiring technique capable of controlling superconducting quantum bits, representing a significant step towards to the realization of a scalable quantum computer.

"The quantum socket is a wiring method that uses three-dimensional wires based on spring-loaded pins to address individual qubits," said Jeremy Béjanin, a PhD...

Im Focus: Scientists develop a semiconductor nanocomposite material that moves in response to light

In a paper in Scientific Reports, a research team at Worcester Polytechnic Institute describes a novel light-activated phenomenon that could become the basis for applications as diverse as microscopic robotic grippers and more efficient solar cells.

A research team at Worcester Polytechnic Institute (WPI) has developed a revolutionary, light-activated semiconductor nanocomposite material that can be used...

Im Focus: Diamonds aren't forever: Sandia, Harvard team create first quantum computer bridge

By forcefully embedding two silicon atoms in a diamond matrix, Sandia researchers have demonstrated for the first time on a single chip all the components needed to create a quantum bridge to link quantum computers together.

"People have already built small quantum computers," says Sandia researcher Ryan Camacho. "Maybe the first useful one won't be a single giant quantum computer...

Im Focus: New Products - Highlights of COMPAMED 2016

COMPAMED has become the leading international marketplace for suppliers of medical manufacturing. The trade fair, which takes place every November and is co-located to MEDICA in Dusseldorf, has been steadily growing over the past years and shows that medical technology remains a rapidly growing market.

In 2016, the joint pavilion by the IVAM Microtechnology Network, the Product Market “High-tech for Medical Devices”, will be located in Hall 8a again and will...

All Focus news of the innovation-report >>>



Event News

#IC2S2: When Social Science meets Computer Science - GESIS will host the IC2S2 conference 2017

14.10.2016 | Event News

Agricultural Trade Developments and Potentials in Central Asia and the South Caucasus

14.10.2016 | Event News

World Health Summit – Day Three: A Call to Action

12.10.2016 | Event News

Latest News

Enormous dome in central Andes driven by huge magma body beneath it

25.10.2016 | Earth Sciences

First time-lapse footage of cell activity during limb regeneration

25.10.2016 | Life Sciences

Deep down fracking wells, microbial communities thrive

25.10.2016 | Earth Sciences

More VideoLinks >>>