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, firstname.lastname@example.org, phone +49 711 970-1299
Richard Bormann M.Sc., email@example.com, phone +49 711 970-1062
Dipl.-Inf. Jan Fischer, firstname.lastname@example.org, 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
Tool making and additive technology exhibition: Fraunhofer IPT at Formnext
31.07.2015 | Fraunhofer-Institut für Produktionstechnologie IPT
Efficient Infrared Heat Saves Time and Energy in the Manufacture of Motor Vehicle Carpets
30.07.2015 | Heraeus Noblelight GmbH
Using ultracold atoms trapped in light crystals, scientists from the MPQ, LMU, and the Weizmann Institute observe a novel state of matter that never thermalizes.
What happens if one mixes cold and hot water? After some initial dynamics, one is left with lukewarm water—the system has thermalized to a new thermal...
Physicists from Regensburg and Marburg, Germany have succeeded in taking a slow-motion movie of speeding electrons in a solid driven by a strong light wave. In the process, they have unraveled a novel quantum phenomenon, which will be reported in the forthcoming edition of Nature.
The advent of ever faster electronics featuring clock rates up to the multiple-gigahertz range has revolutionized our day-to-day life. Researchers and...
Researchers have developed an ultrafast light-emitting device that can flip on and off 90 billion times a second and could form the basis of optical computing.
Joint BioEnergy Institute study identifies bacterial protein that is key to protecting rice against bacterial blight
A bacterial signal that when recognized by rice plants enables the plants to resist a devastating blight disease has been identified by a multi-national team...
Researchers in the Cockrell School of Engineering at The University of Texas at Austin are one step closer to delivering smart windows with a new level of energy efficiency, engineering materials that allow windows to reveal light without transferring heat and, conversely, to block light while allowing heat transmission, as described in two new research papers.
By allowing indoor occupants to more precisely control the energy and sunlight passing through a window, the new materials could significantly reduce costs for...
23.07.2015 | Event News
10.07.2015 | Event News
25.06.2015 | Event News
31.07.2015 | Trade Fair News
31.07.2015 | Transportation and Logistics
31.07.2015 | Physics and Astronomy