MYBOTSHOP nimmt mit leistungsstarkem Kettenfahrzeug Fahrt auf

Autonomes Fahren ist schon lange keine Zukunftstechnologie mehr. Doch nicht nur im PKW auf der Straße soll alsbald auf den Fahrer verzichtet werden. So hat auch MYBOTSHOP, der deutsche Vertriebspartner für Robotik, Sensorik und Automatisierungstechnologie, ein neues Gefährt im Programm. Mit dem weiterentwickelten MBS ROVO 2 führt das Unternehmen aus Nordrhein-Westfalen ein Kettenfahrzeug auf dem Robotermarkt ein, das den meisten Umwelteinflüssen standhält und die Kosteneffizienz in Unternehmen steigern soll.

Neben der Basis-Version im bald erhältlichen MYBOTSHOP-grün, gibt es das Kettenfahrzeug auch als voll konfigurierbare und auf Kundenwünsche zugeschnittene Premium-Version. Dabei profitiert der Endkunde von der jahrelangen Erfahrung und Spezialisierung im Bereich der Anwendungsentwicklung und Forschung, die hausintern bei MYBOTSHOP umgesetzt wird. Das bedeutet, dass Zusatzelemente komplett konfigurierbar und bei MYBOTSHOP auf Anfrage erhältlich sind. Somit bekommt der Endkunde dann ein komplett mit Software aufgespieltes und in Haus getestetes Produkt ausgeliefert. Und auch während der Nutzung steht MYBOTSHOP mit seinem Support und zur Wartung beratend zur Seite. Für die ROS-basierte Programmierung wird eine vollständige Dokumentation als Support auf der Website zur Verfügung gestellt.

Das geländegängige und wassergeschützte Fahrzeug (IP 65) überwindet souverän verschiedene Untergründe wie Schlamm, Schnee und Eis, Kies, Schotter und Sand. Ermöglicht wird dies durch den niedrigen Anpressdruck, der auf der Kettenlänge basiert. Die Akkulaufzeit liegt derzeit bei ca. 8 h (abhängig von Geschwindigkeit und Belastung) und die maximale Geschwindigkeit des Fahrzeugs bei knapp 20 km/h. Optional kann ein Modul für die Schnellladefunktion erworben werden. Mit einer Traglast von bis zu 500 kg bietet sich das Fahrzeug besonders als Transportplattform an. Die Zugkraft liegt bei knapp 2 t und via optionaler Anhängerkupplung lassen sich Anhänger und Fahrzeuge problemlos ziehen.

Mittels der externen Spannungsversorgung lassen sich Zusatzverbraucher wie Roboterarme, Kameras, 3D-LiDAR und weitere Komponenten anschließen. Gerade der Ouster 3D-LiDAR bietet sich für das Mapping an, das beim autonomen Fahren unausweichlich ist. Die via Ouster 3D-LiDAR detailgetreue erstellte 3D-Punktwolke basiert auf bis zu 128 Lagen bei einer Winkelauflösung von nur 0,18° und erfüllt dabei alle relevanten Datenschutz-Vorschriften.
Ein Roboterarm, wie der 6-achsige Universal Robots UR-3, ermöglicht unter anderem als Allrounder-Arm die mobile Manipulation.
Empfehlenswert ist die Nutzung eines HOKUYO UAM-05LP – einem sogenannten Safety LiDAR. Dies bedeutet, dass er durch seine TÜV-Süd-Zertifizierung, bzw. seinem redundanten Aufbau, unter anderem in Roboter-Mensch Applikationen eingesetzt werden darf. Dabei arbeitet das System nach dem so genannten ToF-Prinzip (Time of Flight) wobei die Zeit des emittierten Lichts gemessen wird. Infolge dessen sind maximale Messzeiten von 60 ms möglich.
Die verwendete Stereolabs ZED ist eine performante 3D-Kamera für einen breiten Anwendungsbereich. So verfügt diese Kamera über zwei 4 MP Kameras, wodurch 2 K-Aufnahmen (4416 x 1242 px) mit einer Framerate von bis zu 100 Hz ermöglicht werden.

Mit dem MBS ROVO 2 kann MYBOTSHOP ein Produkt anbieten, das durch geringen Wartungsaufwand und eine lange Lebensdauer überzeugt – Preis und Leistung stimmen hier überein. Aufgrund jahrelanger Erfahrung, erprobter Technik, permanenter Weiterentwicklung und Verwendung qualitativ hochwertiger Komponenten im Fahrzeug rentieren sich die Anschaffungskosten in Höhe von 40.000 EUR (UVP). MYBOTSHOP Firmengründer Daniel Kottlarz schöpft aus der autonomen Zukunft und künstlichen Intelligenz das Potenzial, Arbeitsschritte und Prozessabläufe zu vereinfachen und die Kosten-Nutzen-Effizienz zu steigern. Ebenso können Mitarbeiter im gefährlichen Arbeitsumgebungen reduziert und deren Sicherheit unterstützt werden.

https://www.mybotshop.de/

Better gripping with intelligent picking robots

Researchers from Germany and Canada work on new AI methods for picking robots.

 ISLANDIA, NY, July 7, 2021 — Production, warehouse, shipping – where goods are produced, stored, sorted or packed, picking also takes place. This means that several individual goods are removed from storage units such as boxes or cartons and reassembled. With the FLAIROP (Federated Learning for Robot Picking) project Festo and researchers from the Karlsruhe Institute of Technology (KIT), together with partners from Canada, want to make picking robots smarter using distributed AI methods. To do this, they are investigating how to use training data from multiple stations, from multiple plants, or even companies without requiring participants to hand over sensitive company data. 

“We are investigating how the most versatile training data possible from multiple locations can be used to develop more robust and efficient solutions using artificial intelligence algorithms than with data from just one robot,“ says Jonathan Auberle from the Institute of Material Handling and Logistics (IFL) at KIT. In the process, items are further processed by autonomous robots at several picking stations by means of gripping and transferring. At the various stations, the robots are trained with very different articles. At the end, they should be able to grasp articles from other stations that they have not yet learned about. „Through the approach of federated learning, we balance data diversity and data security in an industrial environment,“ says the expert.

Powerful algorithms for industry and logistics 4.0

Until now, federated learning has been used predominantly in the medical sector for image analysis, where the protection of patient data is a particularly high priority. Consequently, there is no exchange of training data such as images or grasp points for training the artificial neural network. Only pieces of stored knowledge – the local weights of the neural network that tell how strongly one neuron is connected to another – are transferred to a central server. There, the weights from all stations are collected and optimized using various criteria. Then the improved version is played back to the local stations and the process repeats. The goal is to develop new, more powerful algorithms for the robust use of artificial intelligence for industry and Logistics 4.0 while complying with data protection guidelines.

“In the FLAIROP research project, we are developing new ways for robots to learn from each other without sharing sensitive data and company secrets. This brings two major benefits: we protect our customers‘ data, and we gain speed because the robots can take over many tasks more quickly. In this way, the collaborative robots can, for example, support production workers with repetitive, heavy, and tiring tasks”, explains Jan Seyler, Head of Advanced Develop. Analytics and Control at Festo SE & Co. KG During the project, a total of four autonomous picking stations will be set up for training the robots: Two at the KIT Institute for Material Handling and Logistics (IFL) and two at the Festo SE company based in Esslingen am Neckar.

Start-up DarwinAI and University of Waterloo from Canada are further partners

“DarwinAI is thrilled to provide our Explainable (XAI) platform to the FLAIROP project and pleased to work with such esteemed Canadian and German academic organizations and our industry partner, Festo. We hope that our XAI technology will enable high-value human-in-the-loop processes for this exciting project, which represents an important facet of our offering alongside our novel approach to Federated Learning.  Having our roots in academic research, we are enthusiastic about this collaboration and the industrial benefits of our new approach for a range of manufacturing customers”, says Sheldon Fernandez, CEO, DarwinAI.

“The University of Waterloo is ecstatic to be working with Karlsruhe Institute of Technology and a global industrial automation leader like Festo to bring the next generation of trustworthy artificial intelligence to manufacturing.  By harnessing DarwinAI’s Explainable AI (XAI) and Federated Learning, we can enable AI solutions to help support factory workers in their daily production tasks to maximize efficiency, productivity, and safety”, says Dr. Alexander Wong, Co-director of the Vision and Image Processing Research Group, University of Waterloo, and Chief Scientist at DarwinAI.

About FLAIROP

The FLAIROP (Federated Learning for Robot Picking) project is a partnership between Canadian and German organizations. The Canadian project partners focus on object recognition through Deep Learning, Explainable AI, and optimization, while the German partners contribute their expertise in robotics, autonomous grasping through Deep Learning, and data security.

  • KIT-IFL: consortium leadership, development grasp determination, development automatic learning data generation.
  • KIT-AIFB: Development of Federated Learning Framework
  • Festo SE & Co. KG: development of picking stations, piloting in real warehouse logistics
  • University of Waterloo (Canada): Development object recognition
  • Darwin AI (Canada): Local and Global Network Optimization, Automated Generation of Network Structures

Visit www.festo.com/us for more information on Festo products and services.

About Festo

Festo is a leading manufacturer of pneumatic and electromechanical systems, components, and controls for process and industrial automation. For more than 40 years, Festo Corporation has continuously elevated the state of manufacturing with innovations and optimized motion control solutions that deliver higher performing, more profitable automated manufacturing and processing equipment.

Connect with Festo: Facebook, LinkedIn, Twitter and YouTube

Start-Up Auxivo AG Launches Educational Robotic Exoskeleton Kit on Kickstarter

The Swiss exoskeleton company Auxivo AG, a spin-off of ETH Zurich and a specialist in industrial exoskeletons has launched a Kickstarter campaign for a new educational exoskeleton kit called “EduExo Pro”.

The EduExo Pro aims to make exoskeleton technology available to students, makers, and hobbyists and make it easier for educators to integrate wearable exoskeleton technology into the classroom. The kit contains all the parts needed to assemble an arm exoskeleton. An accompanying handbook provides theoretical knowledge and guides the user step-by-step through the assembly and programming of the exoskeleton. On Kickstarter, the EduExo Pro is offered for CHF 890. For those who decide quickly, there is a limited number available for 790 CHF. Later, the retail price will be 1090 CHF.

What are exoskeletons?

Exoskeletons are wearable robotic systems that have become increasingly popular in medical and industrial applications in recent years. There they support specific movements and work to reduce the physical workload and prevent injuries. As the technology is still relatively young, there is hardly any possibility to access and learn about such systems outside of professional applications. Auxivo AG would like to close this gap by offering an educational kit to democratize the development of future exoskeletons.

https://www.kickstarter.com/projects/auxivo/eduexo-pro-a-robotic-exoskeleton-kit-for-stem-education

LDROBOT Announces Launch of LD-AIR LiDAR – Ultra-Small & High-Precision TOF Sensor For Robotic Applications

LDROBOT a high-tech enterprise focusing on the research and development of advanced robotics, has announced the launch of LD-AIR LiDAR a ready-to-use compliant laser sensor with 360° sensing capabilities. This affordable LiDAR component makes any robot smarter and is available now on Kickstarter.

The ability to recognize objects and the environment is a key feature of many robots. LiDAR enables robots to scan their surroundings, make highly accurate maps, and navigate freely. Using advanced technology, LD-AIR LiDAR is a high-accuracy TOF sensor with 360° scanning range which is able to sense the surrounding environment by taking up to 4500 laser ranging samples per second to actualize obstacle detection and autonomously map any area.

LD-AIR LiDAR was created to serve business and research purposes that require robot navigation and obstacle avoidance. For robot developers, this essential component makes robots more useful and intelligent at an affordable price.  

 “In today’s advanced robots, LiDAR sensors are being widely used. The ability to quickly scan an area and create highly accurate maps is essential for applications such as archeology, geography and autonomous cars. And lately, consumer robots are using this technology in creative ways that make smart home applications and service robots smarter. Unfortunately, the cost of highly accurate LiDAR sensors is very high which puts this useful technology out of reach for many. Our goal at LDROBOT Group, was to make LiDAR accessible to everyone by creating a compact and affordable LiDAR with powerful features that is small enough to fit in virtually any device. Now, robotics innovators, makers, and hobbyists can harness the power of LiDAR to make more powerful, useful and convenient robots.”

As an affordable yet full-featured LiDAR solution, LD-AIR LiDAR can be readily applied to the design of working services robots for tasks such as route setting and automatic responsive behaviors. It is a Ready-To-Use compliant laser sensor that is small and versatile enough to fit in any appliance. With an aim toward improving consumer service robots LD-AIR LiDAR has important safety features built-in. It is Certified LD FDA Class 1 Laser Safety Standard, and uses a low power infrared laser light as its light source, effectiveness and eye safety for humans and pets. 

LD-AIR LiDAR – Ultra-Small & High-Precision TOF Sensor is available now on Kickstarter with special pricing for early supporters. Learn more here: [Link]

Introducing the VEX V5 Workcell

VEX Robotics is revolutionizing workforce development education with VEX V5 Workcell

https://www.youtube.com/watch?v=JFkX1KaMA1Y

https://www.vexrobotics.com/v5/products/workcell

Jabil Optics Introduces Powerful Omnidirectional Sensor

Low-cost, wide field-of-view, 3D time-of-flight sensor introduced to ever-expanding robotics market

ST. PETERSBURG, Fla.–(BUSINESS WIRE)–Jabil Inc. (NYSE: JBL) today announced that its renowned optical design center in Jena, Germany is currently developing a novel omnidirectional sensor for robotic and industrial platforms. By combining a custom optical assembly with an innovative active illumination approach, a new 3D time-of-flight (ToF) depth sensor with an industry-leading 360° x 60° field of view is being developed. The ground-breaking, solid-state design is one of several sensing systems Jabil’s optical business unit (Jabil Optics) is designing to support lower-cost autonomous mobile robotics and collaborative robotics platforms.

In contrast to conventional ToF cameras, the immersive field of view of Jabil’s omnidirectional sensor allows for seamless detection and tracking of objects in a robot’s path, aimed at improving both obstacle avoidance and worker safety. Additionally, Jabil’s inventive use of scene information to dynamically control illumination significantly reduces sensor noise while improving both data quality and power management.

“A mission of Analog Devices is to enable the autonomous mobile robot revolution by providing high performance and highly differentiated signal chains that bridge the gap between the analog and digital worlds,” said Donnacha O’Riordan, director of Analog Devices, Inc (ADI). “The Jabil omnidirectional sensor is one of the most innovative implementations of the ADI depth-sensing technology we have encountered. Jabil’s wide field-of-view, depth-sensing approach is opening up new possibilities for human interaction with robots.”

Market-Driven Innovation

The Jabil Optics team is optimizing the performance of the omnidirectional sensor to address the needs of the rapidly changing robotics industry. “Our design goal is to provide customers with optimal sensor performance in the smallest, lowest cost and lowest power solution possible,” said Ian Blasch, senior director of business development, Jabil Optics. “Factors such as data formats, on-sensor processing and connectivity are moving targets in the quickly evolving robotics industry. Our beta-testing program for the omnidirectional sensor will allow us to continue to collect targeted feedback from customers and partners in the robotics ecosystem.”

For nearly two decades, Jabil Optics has been recognized by leading technology companies as the premier service provider for advanced optical design, industrialization and manufacturing. With more than 170 employees across four locations, Jabil Optics’ designers, engineers and researchers specialize in solving complex optical problems for its customers in 3D sensing, augmented and virtual reality, action camera, automotive, industrial and healthcare markets. Additionally, Jabil Optics customers leverage expertise in product design, process development, testing, in-house active alignment (from Kasalis, a technology division of Jabil), supply chain management and manufacturing expertise.

The Jabil omnidirectional sensor beta development kit is available. To request the kit, click here.

About Jabil:

Jabil (NYSE: JBL) is a manufacturing solutions provider with over 260,000 employees across 100 locations in 30 countries. The world’s leading brands rely on Jabil’s unmatched breadth and depth of end-market experience, technical and design capabilities, manufacturing know-how, supply chain insights and global product management expertise. Driven by a common purpose, Jabil and its people are committed to making a positive impact on their local community and the environment. Visit www.jabil.com to learn more.

Wandelbots – No-Code Robotics – – Short Interview

Sebastian from Robots-Blog was able to do a short interview with Annelie Harz from Wandelbots. Learn in the interview what Wandelbots is and why programming might soon become obsolete.

Robots-Blog: Who are you and what is your job at Wandelbots?

Annelie: My name is Annelie and I work as a marketing manager at Wandelbots.

Robots Blog: Which robot from science, movies or TV is your favorite?

Annelie: Wall-E, actually. A little robot that does good things and is just adorable.

Robots Blog: What is Wandelbots and where does the name come from?

Annelie: The name describes the CHANGE (german: „Wandel“) of RoBOTics. Because that is exactly what we do. We enable everyone to handle robots, which today is only reserved for a small circle of experts. Our long-term company vision is: „Every robot in every company and every home runs on Wandelbots“. And that promises big change on a wide variety of levels – starting for us with industry.

Robots Blog: Who is your product aimed at and what do I need for it?

Annelie: Our product is currently aimed at customers from industry. Here, our software – Wandelbots Teaching – can help with programming various applications such as welding or gluing without having to write a line of code. It is designed to be so simple and intuitive that really anyone can work with it to teach a robot a desired result. This works through the interaction of an app and an input device, the TracePen. This takes the form of a large pen with which users can draw a desired path for the robot on the component. But we also work together with educational institutions. They are the ones who train the next generation of robot experts. And in the long term, we are convinced – and this is already part of our vision – that robots will also find their way into private life as little helpers.

Robots-Blog: What feature is particularly worth mentioning?/What can’t anyone else do?

Annelie: Our product works robot manufacturer independent. In robotics, each manufacturer has developed its own proprietary programming language over the years. This makes communication between humans and machines very difficult. We, on the other hand, want to create a tool that allows any human to work with any robot – completely independent of programming language and manufacturer. Robotics should be fun for the user of our product. Thanks to the high usability and the operation of our app via iPad, this is already possible today. And over the next time, application-specific editions will be added to our platform – currently, for example, we are working on an app version for robot welding.

Robots Blog: Do I still need to learn programming at all?

Annelie: No. As I just explained, with this so-called no-code technology, you don’t need to learn programming anymore. It is simple, intuitive and user-friendly, even for laymen. Of course, you always need to have some basic understanding of robotics, especially for safety reasons. You should never underestimate the dangers posed by robots, which is why our product always works according to the respective manufacturer-specific safety specifications.

Robots Blog: What robots are supported? I have a Rotrics DexArm and an igus Robolink DP-5; can I use those as well?

Annelie: Of course, shortly after entering the market, we first want to make robotics in the industry, for example the automotive sector, more flexible and easier. To do this, we are gradually integrating the largest robot brands into our platform. We will certainly also integrate smaller robot brands that cover one or more niches. Or – even better – thanks to our Robot Integration Software Development Kit, robot manufacturers will soon be able to do it themselves.

Robots Blog: How much does your product cost?

Annelie: Our product is offered via a licensing model as a subscription, as is common in the Software as a Service business, or also classically for purchase. The current prices for the different editions can be found on our website (and you will certainly find more exciting content there)

Comau partners with Heidelberg University to study new application areas for wearable robotics within industrial environments

  • The project, run by Heidelberg University with the collaboration of IUVO, aims to enlarge the wealth of knowledge and scientific evidence proving the usability, acceptability and effectiveness of Comau’s MATE-XT exoskeleton in reducing biomechanical loads during strenuous tasks
  • MATE-XT’s ergonomically-assisted support reduces muscle fatigue during overhead and repetitive operations

Grugliasco (Turin), June 17, 2021 – With the objective of strengthening the use of wearable robotics to facilitate human-machine collaboration, Comau and IUVO have partnered with Heidelberg University, one of Europe’s leading research institutions. The joint project aims to further quantify the degree to which the MATE-XT exoskeleton can reduce physical stress during strenuous tasks involving repetitive shoulder flexion movements within the German industrial context. The scientific study will analyze the biomechanics of using MATE-XT for new applications, under new conditions and within new industries and outdoor environments, while verifying users’ learning and motor adaptation speeds. The results achieved can be applied in similar conditions within other contexts all over the world.

The joint collaboration is fueled by the strong synergies in bio-engineering and advanced robotics that each partner brings to the table. Comau was introduced to Heidelberg University by IUVO, a spin-off company of Scuola Superiore Sant’Anna (Pisa, Italy). The majority share of IUVO is held by a joint venture between Comau and Össur, a market leader in the field of non-invasive orthopedics that improve human mobility, in which Comau is the majority holder. Comau has also co-developed both the original MATE and new MATE-XT exoskeletons together with IUVO.

The vast wealth of experience and scientific evidence collected by Comau and IUVO is the starting point of the new study. Heidelberg University will now research biomechanical and productivity results, among other factors, with the ultimate goal of collecting more data regarding MATE-XT’s effectiveness for novel and highly-demanding applications.

The collaboration with Heidelberg University underscores our commitment to evolve the use of adaptive wearable technologies through the combination of empirically-backed research, advanced robotics and biomedical expertise,” said Giuseppe Colombina, Comau HUMANufacturing Innovation Hub Leader and CEO of IUVO.

The collaboration with Comau and IUVO is extremely strategic for my research group at Heidelberg University. We have the chance to test a certified device from a leading automation company, and one that is also complementary to the robotic technology we have been designing here,” emphasized Lorenzo Masia, Ph.D. and Tenured Professor in Medical Technology and Biorobotics at Heidelberg University.

The proliferation of wearable robotic devices represents a long-term, sustainable answer to ensure wellbeing in the workplace,” explained Nicola Vitiello, Ph.D., Associate Professor at Scuola Superiore Sant’Anna and founding partner of IUVO. “Our research with Heidelberg University, studying the use of MATE-XT within the German industrial context, will amplify our knowledge about the platform and potential development areas.”

The validation of breakthrough technologies in the field of biomedical devices and wearable robotics is an important step toward improving the quality of life for workers tasked with heavy, repetitive or highly manual operations. According to Comau estimates, the global market for exoskeletons alone will reach a 5-year CAGR of up to 40%, with the industrial sector representing close to half of this.

About Comau

Comau, a member of the Stellantis, is a worldwide leader in delivering advanced industrial automation products and systems. Its portfolio includes technology and systems for electric, hybrid and traditional vehicle manufacturing, industrial robots, collaborative and wearable robotics, autonomous logistics, dedicated machining centers and interconnected digital services and products able to transmit, elaborate and analyze machine and process data. With over 45 years of experience and a strong presence within every major industrial country, Comau is helping manufacturers of all sizes in almost any industry experience higher quality, increased productivity, faster time-to-market and lower overall costs. The company’s offering also extends to project management and consultancy, as well as maintenance and training for a wide range of industrial segments. Headquartered in Turin, Italy, Comau has an international network of 7 innovation centers, 5 digital hubs, 8 manufacturing plants and employs more than 9,000 people in 14 countries. A global network of distributors and partners allows the company to respond quickly to the needs of customers, no matter where they are located throughout the world. Through the training activities organized by its Academy, Comau is also committed to developing the technical and managerial knowledge necessary for companies to face the challenges and opportunities of Industry 4.0.

www.comau.com

Wandelbots – No-Code Robotics – – Kurzinterview

Sebastian von Robots-Blog konnte ein kurzes Interview mit Annelie Harz von Wandelbots führen. Erfahrt im Interview was Wandelbots ist und warum demnächst vielleicht das Programmieren überflüssig wird.

Robots-Blog: Wer bist du und was ist deine Aufgabe bei Wandelbots?

Annelie: Mein Name ist Annelie und ich arbeite als Marketing Managerin bei Wandelbots.

Robots-Blog: Welcher Roboter aus Wissenschaft, Film oder Fernsehen ist dein Lieblingsroboter?

Annelie: Tatsächlich Wall-E. Ein kleiner Roboter, der Gutes tut und einfach nur liebenswert ist.

Robots-Blog: Was ist Wandelbots und woher kommt der Name?

Annelie: Der Name beschreibt den WANDEL der RoBOTik. Denn das ist genau das, was wir tun. Den Umgang mit Robotern, der heute nur einem kleinem Kreis von Experten vorbehalten ist, ermöglichen wir jedem. Unsere langfristige Firmenvision lautet: “Every robot in every company and every home runs on Wandelbots”. Und das verspricht einen großen Wandel in verschiedensten Ebenen – angefangen für uns bei der Industrie.

Robots-Blog: An wen richtet sich euer Produkt und was brauche ich dafür?

Annelie: Unser Produkt richtet sich derzeit an Kunden aus der Industrie. Hierbei kann unsere Software – Wandelbots Teaching – bei der Programmierung verschiedenster Applikationen wie z.B. Schweißen oder Kleben helfen ohne, dass man eine Zeile Code schreiben muss. Sie ist so einfach und intuitiv designed, dass wirklich jeder mit ihr arbeiten kann, um einem Roboter ein gewünschtes Ergebnis beizubringen. Dies funktioniert durch das Zusammenspiel einer App und eines Eingabegerätes, dem TracePen. Dieser hat die Form eines großen Stiftes, mit dem Nutzende dem Roboter am Bauteil beispielhaft einen gewünschten Pfad vorzeichnen können. Aber auch mit Bildungsträgern arbeiten wir zusammen. Sie sind es, die die nächste Generation von Roboterexperten ausbilden. Da darf unser Produkt natürlich nicht fehlen (Annelie grinst) Und langfristig sind wir – das steckt ja schon in unserer Vision – davon überzeugt, dass Roboter auch als kleine Helfer im Privatleben Einzug halten werden.

Robots-Blog: Welches Feature ist besonders erwähnenswert?/Was kann kein anderer?

Annelie: Unser Produkt arbeitet roboterhersteller-unabhängig. In der Robotik hat jeder Hersteller über die Jahre seine eigene proprietäre Programmiersprache entwickelt. Das macht die Kommunikation zwischen Mensch und Maschinen sehr schwierig. Wir wollen hingegen ein Tool schaffen, mit dem jeder Mensch mit jedem Roboter arbeiten kann – ganz unabhängig von Programmiersprache und Hersteller. Robotik soll dem Anwender unseres Produktes Spaß machen. Dank der hohen Usability und der Bedienung unserer App via iPad ist das heute schon möglich. Und über die nächste Zeit kommen applikationsspezifische Editionen in unsere Plattform – aktuell arbeiten wir beispielsweise an einer Appversion für das Roboterschweißen.

Robots-Blog: Muss ich dann überhaupt noch Programmieren lernen?

Annelie: Nein. Wie eben erklärt muss man mit dieser sogenannten No-Code Technologie nicht mehr programmieren lernen. Es ist einfach, intuitiv und nutzerfreundlich, selbst für Laien. Selbstverständlich muss man aber, vor allem aus Sicherheitsgründen, immer ein gewisses Grundverständnis über Robotik verfügen. Die Gefährdungen durch Roboter sollte man nie unterschätzen, deswegen arbeitet unser Produkt immer nach den jeweiligen herstellerspezifischen Sicherheitsvorgaben.

Robots-Blog: Welche Roboter werden unterstützt? Ich habe einen Rotrics DexArm und einen igus Robolink DP-5; kann ich diese auch verwenden?

Annelie: Wir wollen kurz nach dem Markteintritt natürlich erst einmal die Robotik in der Industrie, beispielsweise der Automobilbranche, flexibler und einfacher machen. Dafür integrieren wir die größten Robotermarken nach und nach in unsere Plattform. Kleinere Robotermarken, die eine oder mehrere Nischen abdecken, werden wir mit Sicherheit auch noch integrieren. Oder – noch besser – dank unseres Software Development Kits für die Roboterintegration können das Roboterhersteller demnächst sogar selbst.

Robots-Blog: Was kostet euer Produkt?

Annelie: Unser Produkt wird über ein Lizenzmodell als Subscription angeboten, wie es im Software as a Service Business üblich ist oder auch klassisch zum Kauf. Die aktuellen Preise für die unterschiedlichen Editionen könnt Ihr auf unserer Website finden (und dort bestimmt noch spannende weitere Inhalte finden)

GinoBot by Engino – Base model with Gripper

Today I built the base model with a gripper and sent my feedback to the developers. It’s already really great product but there are always things to tweak or make better. Do not miss to support it on Kickstarter!

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