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
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.
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, email@example.com, phone +49 711 970-1299
Richard Bormann M.Sc., firstname.lastname@example.org, phone +49 711 970-1062
Dipl.-Inf. Jan Fischer, email@example.com, 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
Jörg Walz | Fraunhofer-Institut
Bug-proof communication with entangled photons
22.06.2017 | Fraunhofer-Gesellschaft
LZH at the LASER World of Photonics 2017: Light for Innovation
16.06.2017 | Laser Zentrum Hannover e.V.
Strong light-matter coupling in these semiconducting tubes may hold the key to electrically pumped lasers
Light-matter quasi-particles can be generated electrically in semiconducting carbon nanotubes. Material scientists and physicists from Heidelberg University...
Fraunhofer IPA has developed a proximity sensor made from silicone and carbon nanotubes (CNT) which detects objects and determines their position. The materials and printing process used mean that the sensor is extremely flexible, economical and can be used for large surfaces. Industry and research partners can use and further develop this innovation straight away.
At first glance, the proximity sensor appears to be nothing special: a thin, elastic layer of silicone onto which black square surfaces are printed, but these...
3-D shape acquisition using water displacement as the shape sensor for the reconstruction of complex objects
A global team of computer scientists and engineers have developed an innovative technique that more completely reconstructs challenging 3D objects. An ancient...
Physicists have developed a new technique that uses electrical voltages to control the electron spin on a chip. The newly-developed method provides protection from spin decay, meaning that the contained information can be maintained and transmitted over comparatively large distances, as has been demonstrated by a team from the University of Basel’s Department of Physics and the Swiss Nanoscience Institute. The results have been published in Physical Review X.
For several years, researchers have been trying to use the spin of an electron to store and transmit information. The spin of each electron is always coupled...
What is the mass of a proton? Scientists from Germany and Japan successfully did an important step towards the most exact knowledge of this fundamental constant. By means of precision measurements on a single proton, they could improve the precision by a factor of three and also correct the existing value.
To determine the mass of a single proton still more accurate – a group of physicists led by Klaus Blaum and Sven Sturm of the Max Planck Institute for Nuclear...
21.07.2017 | Event News
19.07.2017 | Event News
12.07.2017 | Event News
25.07.2017 | Physics and Astronomy
25.07.2017 | Earth Sciences
25.07.2017 | Life Sciences