Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Innovative image processing for service robots

17.03.2014

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.

Applications

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.

Contact
Dipl.-Ing. Georg Arbeiter, georg.arbeiter@ipa.fraunhofer.de, phone +49 711 970-1299
Richard Bormann M.Sc., richard.bormann@ipa.fraunhofer.de, phone +49 711 970-1062
Dipl.-Inf. Jan Fischer, jan.fischer@ipa.fraunhofer.de, 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
www.automatica-munich.com

Weitere Informationen:

http://www.ipa.fraunhofer.de/6D-Objekterkennung.520.0.html?&L=2http://www.ip...

Jörg Walz | Fraunhofer-Institut

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

More articles from Trade Fair News:

nachricht We will find “the fly in the ointment” and show it to you
20.05.2015 | Fraunhofer-Institut für Organische Elektronik, Elektronenstrahl- und Plasmatechnik FEP

nachricht JULABO – the 'World of Temperature' with many novelties
20.05.2015 | JULABO GmbH

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: Basel Physicists Develop Efficient Method of Signal Transmission from Nanocomponents

Physicists have developed an innovative method that could enable the efficient use of nanocomponents in electronic circuits. To achieve this, they have developed a layout in which a nanocomponent is connected to two electrical conductors, which uncouple the electrical signal in a highly efficient manner. The scientists at the Department of Physics and the Swiss Nanoscience Institute at the University of Basel have published their results in the scientific journal “Nature Communications” together with their colleagues from ETH Zurich.

Electronic components are becoming smaller and smaller. Components measuring just a few nanometers – the size of around ten atoms – are already being produced...

Im Focus: IoT-based Advanced Automobile Parking Navigation System

Development and implementation of an advanced automobile parking navigation platform for parking services

To fulfill the requirements of the industry, PolyU researchers developed the Advanced Automobile Parking Navigation Platform, which includes smart devices,...

Im Focus: First electrical car ferry in the world in operation in Norway now

  • Siemens delivers electric propulsion system and charging stations with lithium-ion batteries charged from hydro power
  • Ferry only uses 150 kilowatt hours (kWh) per route and reduces cost of fuel by 60 percent
  • Milestone on the road to operating emission-free ferries

The world's first electrical car and passenger ferry powered by batteries has entered service in Norway. The ferry only uses 150 kWh per route, which...

Im Focus: Into the ice – RV Polarstern opens the arctic season by setting course for Spitsbergen

On Tuesday, 19 May 2015 the research icebreaker Polarstern will leave its home port in Bremerhaven, setting a course for the Arctic. Led by Dr Ilka Peeken from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) a team of 53 researchers from 11 countries will investigate the effects of climate change in the Arctic, from the surface ice floes down to the seafloor.

RV Polarstern will enter the sea-ice zone north of Spitsbergen. Covering two shallow regions on their way to deeper waters, the scientists on board will focus...

Im Focus: Gel filled with nanosponges cleans up MRSA infections

Nanoengineers at the University of California, San Diego developed a gel filled with toxin-absorbing nanosponges that could lead to an effective treatment for skin and wound infections caused by MRSA (methicillin-resistant Staphylococcus aureus), an antibiotic-resistant bacteria. This "nanosponge-hydrogel" minimized the growth of skin lesions on mice infected with MRSA - without the use of antibiotics. The researchers recently published their findings online in Advanced Materials.

To make the nanosponge-hydrogel, the team mixed nanosponges, which are nanoparticles that absorb dangerous toxins produced by MRSA, E. coli and other...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

Event News

International symposium: trends in spatial analysis and modelling for a more sustainable land use

20.05.2015 | Event News

15th conference of the International Association of Colloid and Interface Scientists

18.05.2015 | Event News

EHFG 2015: Securing health in Europe. Balancing priorities, sharing responsibilities

12.05.2015 | Event News

 
Latest News

Mesoporous Particles for the Development of Drug Delivery System Safe to Human Bodies

22.05.2015 | Materials Sciences

Computing at the Speed of Light

22.05.2015 | Information Technology

Development of Gold Nanoparticles That Control Osteogenic Differentiation of Stem Cells

22.05.2015 | Materials Sciences

VideoLinks
B2B-VideoLinks
More VideoLinks >>>