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Session 3: Industrial Perception and Autonomy

Keine Performance ohne Perzeption – intelligente Bildverarbeitung als Schlüsseltechnologie für moderne Robotik

Was nützt die intelligenteste Maschine, wenn sie ihr Potenzial nicht ausschöpfen kann? Ein Roboter ohne High-end Umwelterkennung ist wie ein Rennwagen ohne Lenkrad. In Zeiten, in denen alles auf die autonome Interaktion von Maschinen hinausläuft, muss diese durch moderne Sensorik gewährleistet werden. Welche Technologien werden hierfür in Zukunft zur Verfügung stehen? Und wo gibt es noch Defizite? Wie wird die Evolution der Bilderkennung die Entwicklung der Robotik in den kommenden Jahren beeinflussen?

Vier Wissenschaftler bringen das Publikum in Sachen Perzeption und Autonomie auf den neuesten Stand:

Dr.-Ing. Gunther Kegel, Pepperl+Fuchs
Dr. Alfred Rizzi, Boston Dynamics
Prof. Matthew Mason, Berkshire Grey
Dr. Christoph Peylo, Robert Bosch
Session-Chair
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Die Robotik könnte schon um Jahrzehnte weiter sein, behauptet Dr. Gunther Kegel, CEO von Pepperl+Fuchs. Verhindert wurde das bisher durch das Leistungsdefizit von Industriesensorik und Bildverarbeitungstechnologie. Während sich Rechenleistung und Speicherkapazität kontinuierlich weiterentwickelt haben, ist die Umgebungserkennung lange auf der Strecke geblieben. Kegel gibt einen Einblick in den Status Quo und schildert Visionen sowie Anforderungen an die Bildverarbeitung der Zukunft.

Das Rad war gestern, die Zukunft liegt in den Extremitäten – zumindest, wenn es nach Dr. Alfred Rizzi und seiner Forschung an Laufrobotern geht. Der Chefingenieur von Boston Dynamics auf hat sich auf Maschinen spezialisiert, die den Gang des Menschen oder verschiedener Tierarten nachahmen. Anders als ihre rollenden Vorgänger können diese Areale erobern, die der Robotik bisher unzugänglich waren.

Prof. Matthew Mason, Chefingenieur bei Berkshire Grey, dem führenden amerikanischen Technologieunternehmen für KI im Handel, wirft einen Blick in die Zukunft robotergestützter Automatisierung der Intralogistik.

Vertrauen ist kein digitaler Begriff. Zumindest noch nicht, so die Meinung von Dr. Christoph Peylo von der Robert Bosch GmbH. Unsere zwischenmenschliche Kommunikation verfügt über ein stabiles Verständnis von Begrifflichkeiten wie „Vertrauen“ oder „Glaube“. In der digitalen Welt ist das nicht so. In seinem Vortrag erklärt Peylo, wie die Künstliche Intelligenz helfen kann, Standards für einen „Digitalen Vertrauensbegriff“ zu etablieren.

Die Speaker und Vorträge dieser Session

“The importance of sensors and cognitive capabilities for next generation robotic AI applications”

The lack of cognitive capabilities and the performance of industrial sensors have been the bottleneck for robot applications in and outside of the industry since decades. Whereas computational power and memory capacity have grown substantially, and motors and drivers have turned bulky robots into high precision fast moving light weight kinematic machines, the cognitive capabilities to understand and interpret the robot’s environment have not been growing with the same pace. But data of physical, geometrical and even mental status of the environment are essential to feed the well-known and powerful AI algorithms in applications outside of the well-defined industrial world. The presentation will document the state of the art and gives some trends, visions and requirements for the next generation of sensors that will help to increase cognitive capabilities to a further level.

Dr. Gunther Kegel begann seine berufliche Laufbahn nach dem Studium der Elektrotechnik und Promotion an der TU Darmstadt bei Pepperl+Fuchs in Mannheim, Hersteller von Elekt­ronik für die Fabrik-/Prozessautomation, und ist heute Vorstandsvorsitzender der Pepperl+Fuchs SE. Er ist Präsidiumsmitglied des VDE und Mitglied in verschiedenen Aufsichtsratsgremien und Beiräten. Er ist Vorsitzender des Ausstellerbeirates der Hannover Messe sowie Mitherausgeber der Zeitschrift a t p.

Seit Oktober 2020 ist er Präsident des ZVEI -Zentralverband Elektrotechnik- und Elektronikindustrie e.V.

The importance of sensors and cognitive capabilities for next generation robotic AI applications

The lack of cognitive capabilities and the performance of industrial sensors have been the bottleneck for robot applications in and outside of the industry since decades. Whereas computational power and memory capacity have grown substantially and motors and drivers have turned bulky robots into high precision fast moving light weight kinematic machines, the cognitive capabilities to understand and interpret the robot’s environment have not been growing with the same pace. But data of physical, geometrical and even mental status of the environment are essential to feed the well-known and powerful AI algorithms in applications outside of the well-defined industrial world. The presentation will document the state of the art and gives some trends, visions and requirements for the next generation of sensors that will help to increase cognitive capabilities to a further level.

Hightech-Summit Session 3: Industrial Perception and Autonomy

„Developing and Deploying Capable Legged Mobile Manipulation Robots”

At Boston Dynamics over the past decade, we have made significant progress in developing locomotion capability that rivals humans and animals. One important feature of these systems is that they are easy for an operator to drive, giving users the ability to access a significant fraction of the world that was previously inaccessible via wheeled and tracked robots. As we begin to deliver legged mobile robots with arms and grippers, we seek to do the same thing in the mobile manipulation space and provide reactive control strategies that allow users/operators and higher-level control systems to effectively use a robot to reliably interact with its environment to pick, place, grasp, and manipulate useful objects.

Dr. Alfred Rizzi is currently the Chief Scientist at Boston Dynamics where he directs research and product development based on novel locomotion and mobile manipulation systems. Prior to joining Boston Dynamics, in 2006, he was an Associate Research Professor in the Robotics Institute at Carnegie Mellon University where he directed research projects focused on hybrid sensor-based control of complex and distributed dynamical systems. Dr. Rizzi received the Sc.B, degree in electrical engineering from the Massachusetts Institute of Technology in 1986. He received the M.S. and Ph.D. from Yale University in 1990 and 1994 respectively.

Developing and Deploying Capable Legged Mobile Manipulation Robots

At Boston Dynamics over the past decade we have made significant progress in developing locomotion capability that rivals humans and animals. One important feature of these systems is that they are easy for an operator to drive, giving users the ability to access a significant fraction of the world that was previously inaccessible via wheeled and tracked robots. As we begin to deliver legged mobile robots with arms and grippers we seek to do the same thing in the mobile manipulation space and provide reactive control strategies that allow users/operators and higher level control systems to effectively use a robot to reliably interact with its environment to pick, place, grasp, and manipulate useful objects.

Hightech-Summit Session 3: Industrial Perception and Autonomy

“Robotics and Warehouse Automation: from robotics research to Berkshire Grey”

This talk tells the Berkshire Grey story, how it adapted robotics technology from research labs to transform warehouses and distribution centers, leading to a public listing on NASDAQ – the first since iRobot 15 years ago. Berkshire Grey produces automated systems for e-commerce order fulfillment, parcel sortation, store replenishment, and related operations in warehouses, distribution centers, and in the back ends of stores. The talk will discuss the fundamental issues in warehouse automation, the technology and solutions developed by Berkshire Grey, and future challenges.

Matthew T. Mason ist leitender Wissenschaftler bei Berkshire Grey. Er erwarb seinen Bachelor, Master und PhD am MIT AI Lab. An der Carnegie Mellon University war er zehn Jahre lang Vorsitzender des Robotik-Doktorandenprogramms und weitere zehn Jahre Direktor des CMU Robotics Institute. Er ist Fellow der AAAI, des IEEE und der ACM. Er ist Preisträger des System Development Foundation Prize, des IEEE RAS Pioneer Award und des 2018 verliehenen IEEE Technical Field Award in den Bereichen Robotik und Automation.

Robotics and Warehouse Automation: from robotics research to Berkshire Grey

This talk tells the Berkshire Grey story, how it adapted robotics technology from research labs to transform warehouses and distribution centers, leading to a public listing on NASDAQ -- the first since iRobot 15 years ago. Berkshire Grey produces automated systems for e-commerce order fulfillment, parcel sortation, store replenishment, and related operations in warehouses, distribution centers, and in the back ends of stores. The talk will discuss the fundamental issues in warehouse automation, the technology and solutions developed by Berkshire Grey, and future challenges.

Hightech-Summit Session 3: Industrial Perception and Autonomy

“Trustworthy AI and Digital Trust: Trust lies in the eye of the beholder”

The physical world offers a sufficiently stable and agreed on basis for most human interactions, since human beings, by and large, share a similar set of mechanisms to perceive the world and interact with and communicate about it. Therefore, the underlying ontological commitments and assumptions of statements like “trust”, “believe” etc., can, most of the time, be taken for granted and do not have to be explained explicitly.

This, however, is not the case within the digital world. What commonly is referred to as “digital world”, is only loosely defined by agreed on protocols on a communication network, e.g., the internet, and tools, services, and applications to communicate and interact with networked devices. Protocols, tools and underlying networks are under constant development and change, so the digital world is an extremely brittle environment.

Thus, “digital trust” will not work as a simple mapping of the relevant dimensions of “trust” to their respective digital representations in an existing digital world, since there is no stable digital world. And AI brings in even more volatility. The respective domain and scope of “trust” and the relationship of the involved entities must be defined and created for any context in which trustworthy digital interactions should take place. Thus, “Digital Trust” specifies the relationship between two entities with respect to a specific task that requires entitlement, competence and adherence to certain pre-defined standards, protocols or principles. For keeping track of the expectations, learning from experience and adapt to specific behavior patterns, AI is an extremely powerful technology. Thus, AI can support to establish Digital Trust by adapting a digital product or service to the individual expectations of people during the whole life cycle of a product.

Experiencing “Digital Trust” will be the corresponding digital counterpart of today’s core quality and value proposition of the non-digital world.

Dr. Christoph Peylo leitet im CDO Bereich von Bosch das Projekt "Digital Trust". Zuvor gründete und leitete er das Bosch Center for Artificial Intelligence (BCAI). Er war Mitglied der hochrangigen Expertengruppe für Künstliche Intelligenz, welche die Europäischen Kommission ernannt hat. Bevor er 2017 zur Robert Bosch GmbH kam, war er bei den Deutschen-Telekom-Laboratories in Berlin tätig und für die Bereiche KI, (Cyber-)Sicherheit, Industrie 4.0 und IoT (Internet of Things) zuständig.

Bevor er 2006 zur Deutschen Telekom kam, arbeitete er in verschiedenen Positionen vom Software-Ingenieur bis hin zum Geschäftsführer eines Softwareunternehmens.

Christoph Peylo studierte Informatik, Computerlinguistik und Künstliche Intelligenz und promovierte an der Universität Osnabrück im Bereich KI.

Trustworthy AI and Digital Trust: Trust lies in the eye of the beholder

The physical world offers a sufficiently stable and agreed on basis for most human interactions, since human beings, by and large, share a similar set of mechanisms to perceive the world and interact with and communicate about it. Therefore, the underlying ontological commitments and assumptions of statements like “trust”, “believe” etc., can, most of the time, be taken for granted and do not have to be explained explicitly.

This, however, is not the case within the digital world. What commonly is referred to as “digital world”, is only loosely defined by agreed on protocols on a communication network, e.g. the Internet, and tools, services, and applications to communicate and interact with networked devices. Protocols, tools and underlying networks are under constant development and change, so the digital world is an extremely brittle environment.

Thus, “digital trust” will not work as a simple mapping of the relevant dimensions of “trust” to their respective digital representations in an existing digital world, since there is no stable digital world. And AI brings in even more volatility. The respective domain and scope of “trust” and the relationship of the involved entities have to be defined and created for any context in which trustworthy digital interactions should take place. Thus, “Digital Trust” specifies the relationship between two entities with respect to a specific task that requires entitlement, competence and adherence to certain pre-defined standards, protocols or principles. For keeping track of the expectations, learning from experience and adapt to specific behavior patterns, AI is an extremely powerful technology. Thus, AI can support to establish Digital Trust by adapting a digital product or service to the individual expectations of people during the whole life cycle of a product.

Experiencing “Digital Trust” will be the corresponding digital counterpart of today’s core quality and value proposition of the non-digital world.

Hightech-Summit Session 3: Industrial Perception and Autonomy

Session-Chair

„Industrial Perception and Autonomy“ wird von Prof. Dr. rer. nat. Edward G. Krubasik, Honorarprofessor der TUM School of Management (TU München), Vorsitzender des Industry Advisory Board des Munich Institute of Robotics and Machine Intelligence (MIRMI), als Session Chair moderiert.


Technologien haben das Potenzial, Menschen zu unterstützen und unsere Lebensqualität zu verbessern. Es ist jedoch unerlässlich, Technologien so zu gestalten, dass der Nutzen für die Vielen und nicht für die Wenigen im Vordergrund steht. Fragen der sozialen Gerechtigkeit und Gleichberechtigung müssen in den Mittelpunkt der Technologieentwicklung rücken, insbesondere in Bereichen wie KI und Robotik. Dazu müssen wir die interdisziplinäre Zusammenarbeit zwischen den Sozialwissenschaften und der KI-Forschung fördern und soziale, ethische und politische Fragestellungen bereits bei der Technologieentwicklung integrieren.

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