Mit der Produktneuheit Smart Robots Pro bietet fischertechnik ein spannendes Komplettpaket, das nicht nur kreatives Bauen fördert, sondern auch Programmierkenntnisse vermittelt. Das Set wurde für Kinder ab acht Jahren entwickelt und ist seit September im Handel erhältlich.
Das fischertechnik Set Smart Robots Pro enthält alles, was junge Technikbegeisterte brauchen, um zwölf faszinierende Modelle zu bauen, zu programmieren und zu steuern. Egal, ob es sich um den Fahrroboter mit Hinderniserkennung, das Karussell mit Blinklichtern, die Temperaturregelung mit Ventilator oder die Alarmanlage handelt – mit dem fischertechnik Smart Robots Pro können Programmierkenntnisse auf- und ausgebaut werden.
Ein Highlight des Konstruktionsbausets ist der BT Smart Controller. Dieser Controller verfügt unter anderem über vier Eingänge für digitale oder analoge Sensoren sowie zwei Ausgänge für Motoren oder Lampen.
Um die Programmierung der Modelle anschaulich und leicht verständlich zu gestalten, kann Smart Robots Pro mit der ROBO PRO Coding Software verwendet werden, die kostenlos zum Download in den jeweiligen App Stores bereitsteht. Diese Software ermöglicht es den jungen Entwicklerinnen und Entwicklern, ihre Modelle mühelos grafisch zu programmieren und zu steuern. Das didaktische Begleitmaterial, das über die E Learning-Plattform verfügbar ist, unterstützt den Lernprozess der Kinder und erklärt auf leicht verständliche Weise die Grund lagen der Programmierung.
Das Set ist nicht nur ein Spielzeug, sondern ein Bildungswerkzeug, das Spaß und Lernen miteinander verbindet. Es fördert die Kreativität, das Problemlösungsdenken und die technische Kompetenz junger Menschen. Gleichzeitig bietet es eine unterhaltsame Möglichkeit, die Programmierkenntnisse zu erlernen.
„Wir freuen uns, mit Smart Robots Pro ein innovatives Produkt auf den Markt zu bringen, das die nächste Generation von Technikenthusiasten inspirieren wird“, sagt Marc Schrag, fischertechnik Vertriebsleiter für Deutschland, Österreich und die Schweiz.
Smart Robots Pro ist seit September erhältlich (199,99 Euro, UVP) und verspricht stundenlangen Spielspaß und Lernen zugleich. Weitere Informationen und Produktbilder sind auf der fischertechnik Website zu finden unter www.fischertechnik.de.
I am passionate about technology and robotics. Here in my own blog, I am always taking on new tasks. But I have hardly ever worked with image processing. However, a colleague’s LEGO® MINDSTORMS® robot, which can recognize the rock, paper or scissors gestures of a hand with several different sensors, gave me an idea: „The robot should be able to ’see‘.“ Until now, the respective gesture had to be made at a very specific point in front of the robot in order to be reliably recognized. Several sensors were needed for this, which made the system inflexible and dampened the joy of playing. Can image processing solve this task more „elegantly“?
Rock-Paper-Scissors with Robot Inventor by Seshan Brothers. The robot which inspired me for this project
From the idea to implementation
In my search for a suitable camera, I came across IDS NXT – a complete system for the use of intelligent image processing. It fulfilled all my requirements and, thanks to artificial intelligence, much more besides pure gesture recognition. My interest was woken. Especially because the evaluation of the images and the communication of the results took place directly on or through the camera – without an additional PC! In addition, the IDS NXT Experience Kit came with all the components needed to start using the application immediately – without any prior knowledge of AI.
I took the idea further and began to develop a robot that would play the game „Rock, Paper, Scissors“ in the future – with a process similar to that in the classical sense: The (human) player is asked to perform one of the familiar gestures (scissors, stone, paper) in front of the camera. The virtual opponent has already randomly determined his gesture at this point. The move is evaluated in real time and the winner is displayed.
The first step: Gesture recognition by means of image processing
But until then, some intermediate steps were necessary. I began by implementing gesture recognition using image processing – new territory for me as a robotics fan. However, with the help of IDS lighthouse – a cloud-based AI vision studio – this was easier to realize than expected. Here, ideas evolve into complete applications. For this purpose, neural networks are trained by application images with the necessary product knowledge – such as in this case the individual gestures from different perspectives – and packaged into a suitable application workflow.
The training process was super easy, and I just used IDS Lighthouse’s step-by-step wizard after taking several hundred pictures of my hands using rock, scissor, or paper gestures from different angles against different backgrounds. The first trained AI was able to reliably recognize the gestures directly. This works for both left- and right-handers with a recognition rate of approx. 95%. Probabilities are returned for the labels „Rock“, „Paper“, „Scissor“, or „Nothing“. A satisfactory result. But what happens now with the data obtained?
Further processing
The further processing of the recognized gestures could be done by means of a specially created vision app. For this, the captured image of the respective gesture – after evaluation by the AI – must be passed on to the app. The latter „knows“ the rules of the game and can thus decide which gesture beats another. It then determines the winner. In the first stage of development, the app will also simulate the opponent. All this is currently in the making and will be implemented in the next step to become a „Rock, Paper, Scissors“-playing robot.
From play to everyday use
At first, the project is more of a gimmick. But what could come out of it? A gambling machine? Or maybe even an AI-based sign language translator?
After a series of successful Kickstarter Campaigns, Geek Club and CircuitMess launch their most ambitious project yet – a NASA-approved AI-powered scale model Replica of the Perseverance Space Rover
Zagreb, Croatia – October 31st, 2023. – Today, Geek Club and CircuitMess announced their Kickstarter space exploration campaign designed to teach children eleven and up about engineering, AI, and coding by assembling the iconic NASA Perseverance Space Rover, as well as a series of other NASA-inspired space vehicles.
This new space-themed line of DIY educational products was born out of both companies‘ shared vision to aim for the stars and to take their fans with them. The Kickstarter campaign starts today, October 31st, and will last for 35 days.
The collaboration was a logical union of the two companies. Both companies create educational STEM DIY kits that are targeted towards kids and adults. Both share the same mission: To make learning STEM skills easy and fun.
“For decades, the team and I have been crafting gadgets for geeks always inspired by space exploration,” says Nicolas Deladerrière, co-founder of Geek Club. “Inspired by Mars exploration, we’ve studied thousands of official documents and blueprints to craft an authentic Mars exploration experience. The product comes alive thanks to microchips, electromotors, and artificial intelligence. Imagine simulating your own Mars mission right from your desk!”
Geek Club is an American company that specializes in designing and producing DIY robotics kits that educate their users on soldering and electronics. They focus primarily on space exploration and robotics, all to make learning engineering skills easy and fun for kids, adults, and everyone in between.
“We have successfully delivered seven Kickstarter campaigns, raised more than 2.5 million dollars, and made hundreds of thousands of geeks all around the world extremely happy,” says Albert Gajšak, CEO of CircuitMess. “In a universe where space and technology are constantly growing, we’re here to ensure you’re never left behind.”
The new product line consists of five unique space-themed products:
1. The Perseverance Space Rover Kit
This kit is designed to be an educational journey into programming, electronics, robotics, and AI. The model comes with four electromotors, six wheels, a control system with a dual-core Espressif ESP32 processor, Wi-Fi, and Bluetooth connectivity, a sample collection arm based on the real thing with two servo motors, a Wi-Fi-connected remote controller, and support for programming in Python or via a Scratch-inspired drag-and-drop visual coding environment.
Alongside the Perseverance Space Rover, you’ll be able to get more iconic space vehicles:
2. The Voyager: A DIY kit made as a tribute to NASA’s longest-lasting mission, which has been beaming back data for an incredible 45 years and counting.
3. Juno: A solar-powered DIY kit celebrating the mission that gave us the most detailed and breathtaking images of Jupiter.
4. Discovery: A DIY kit honoring the legendary space shuttle with 39 successful orbital flights under its belt.
5. The Artemis Watch: A sleek, space-themed wrist gadget inspired by NASA’s upcoming Artemis space suit design. The watch is a programmable device equipped with an LCD display, Bluetooth, and a gyroscope.
The Perseverance Educational Space Rover Kit is available for pre-order now on Kickstarter, starting at $149.
No previous experience or knowledge is needed for assembling your very own space rover. The kit is designed for anyone aged 11+ and comes with detailed video instructions.
Why no-code & low-code tools have become indispensable in robotics
Using robots is almost always worthwhile for companies. They can reduce labor costs, relieve employees, and make production more flexible – because the required batch sizes are becoming smaller and production processes more individual. In addition, a robot or cobot offers another major advantage: it can work without breaks and fatigue, thereby increasing product quality and reducing scrap.
With modern robot systems, almost all processes can now be automated. Usually, robots take over simple, dirty, monotonous, physically demanding, or even dangerous tasks. However, with the right hardware and, above all, software, very complex or particularly demanding tasks, so-called „Advanced Robotics“ applications, can also be solved. Examples of this include the assembly of flexible and bendable components such as cables, wires, or hoses or force-controlled surface processing.
When teach points can be transferred from the real robot back to the programming software as well, such a solution seamlessly integrates into the commissioning process and saves unexpected effort; Source: Ridvan – stock.adobe.com
Following the no-code/low-code trend, there are various software solutions on the market that enable graphical and therefore simplified and faster programming. The advantage is that no special programming skills are required. The portfolio ranges from manufacturer-specific solutions to independent offerings that can be used to program robots from different manufacturers with one single software. Especially in the latter case, experts recommend using tools that automatically generate native robot code for the particular robot controller instead of controlling the robot arm via a separate IPC.
In the first case, users remain flexible when it comes to adjustments or optimizations during operation and avoid a lock-in effect, as they can continue to program the robot in the traditional way using line code even without using the software.
Whether with external engineering tools or line code, there are factors on the path to robot-based automation that users often underestimate and therefore do not pay enough attention to. How to avoid three of the most important stumbling blocks will be briefly explained below.
No-code/low-code tools simplify and speed up robot programming thanks to their template-based approach; Source: ArtiMinds Robotics GmbH
FACTOR 1: PROGRAMMING EFFORT
The time required for programming an application is usually not underestimated, but there are other pitfalls in this phase: for example, process tolerances and variances that have not been taken into account or the increased complexity when incorporating sensors or establishing a communication between the robot and a PLC. In addition, programming a system is often a tailor-made and complex solution that is difficult to adapt. Moreover, programmers often have their own style, which can make the resulting code or program difficult to understand and modify for other programmers. At this point, the market supports the user with the aforementioned no-code/low-code solutions. For example, with pre-defined function blocks, programs can be constructed and structured in a clear and understandable manner for others. Process tolerances and variances can also be automatically compensated, analyzed, and optimized by using the right software. If the corresponding interfaces are already integrated, the effort required to connect sensors or set up a PLC communication is also immensely reduced.
FACTOR 2: EFFORT DURING COMMISSIONING
A rule of thumb states that the cost of the robot itself is only about one-third of the initial cost of the cell, and experience shows that around 45 percent of the typical costs are incurred during ramp-up. This is because users often underestimate the time required for commissioning. Although the system is programmed offline and simulated throughout in advance, differences between theory and practice often become apparent during commissioning.
Thus, despite good preparation, the process can take significantly longer than planned, and adjustments and changes can quickly become expensive In addition, factors that were not apparent during digital preparation now need to be addressed on-site during commissioning. This makes this phase difficult to calculate. With consistent tools, the ramp-up can be implemented in a controlled manner and without great loss of time, so that this phase does not become a cost driver. It is important to combine simulation, programming, sensors, and data analysis in one single software package. This way, the engineering chain becomes consistent without the user having to compromise on functionality.
Programs can be structured and made traceable using pre-defined function blocks. Before commissioning, the process can be simulated as realistically as possible in a 3D simulation environment and tested; Source: ArtiMinds Robotics GmbH
This makes changes and adjustments faster, more flexible and easier. With ideally automatically generated robot code and the ability to transfer teach points back from the real robot into the software, such a solution integrates seamlessly and optimally into existing commissioning and maintenance processes. This also offers the greatest flexibility in terms of online and offline programming, allowing the user to choose the best option and easiest way for the respective task.
FACTOR 3: CHANGES DURING THE LIFECYCLE OF THE CELL
Even when the robot is running, there is still a danger that is often not considered: Over the system runtime, numerous changes in general conditions can occur that require adaptation of the programming.
These can be vibrations and shocks, for example caused from forklifts or other machines, wear and tear of tools, replacement parts that react differently than the previous components, changes in workpiece batches, and the space available in the hall or a change of the operating personnel. Changed lighting conditions and temperature conditions or the difference between a cold-started and warmed-up robot can also have an impact.
Software that standardizes and simplifies programming allows the user to react simply, quickly, and flexibly to these and many other changes and to make necessary adjustments in the program itself. If the worker uses a tool that also makes changes or the resulting consequences visible early on in terms of forces, cycle times, or defects and quality, it becomes easier to analyze and derive possible optimizations, which makes the user best prepared.
Voice assistants have become a crucial component of our everyday lives in today’s technologically sophisticated society. They assist us with work, respond to our inquiries, and even provide entertainment. Have you ever wondered how voice assistants operate or how to build your own? Spencer is here to satisfy your curiosity and provide a fun DIY activity, so stop searching. This blog post will introduce you to Spencer, a voice assistant that will brighten your day with jokes and provide you with all the information you need.
Meet Spencer
Spencer is a buddy that converses with you; it is more than simply a voice assistant. It can hear you well enough to comprehend all you say. It uses its large red button as a trigger to search the internet and give you straightforward answers. It’s a wonderful addition to your everyday routine because of Spencer’s endearing nature and capacity to make you grin.
Spencer’s Features: Your Interactive Voice Assistant Companion
1. Voice Interaction
High-quality audio communication is possible because of Spencer’s microphone. It comprehends your instructions, inquiries, and chats and offers a simple and straightforward approach for you to communicate with your voice assistant. Simply talk to Spencer, and it will answer as you would expect, giving the impression that you are conversing with a genuine friend.
2. Internet Connectivity and Information Retrieval
Spencer has internet access, allowing you to access a huge information base. You may have Spencer do a real-time internet search by pushing the huge red button on his chest. Spencer can search the web and provide you clear, succinct answers, whether you need to discover the solution to a trivia question, check the most recent news headlines, or collect information on a certain issue.
3. Personalization and Customization
Being wholly original is what Spencer is all about. You are allowed to alter its features and reactions to fit your tastes. Make Spencer reflect your style and personality by altering its external elements, such as colors, decals, or even adding accessories. To further create a genuinely customized experience, you may alter its reactions, jokes, and interactions to suit your sense of humor and personal tastes.
4. Entertainment and Engagement
Spencer is aware of how important laughing is to life. It has built-in jokes and amusing replies, so talking to your voice assistant is not only educational but also interesting and fun. Spencer’s amusing features will keep you entertained and involved whether you need a quick pick-me-up or want to have a good time with friends and family.
5. Learning and Educational STEM Experience
In particular, STEM (science, technology, engineering, and mathematics) subjects are the focus of Spencer’s educational mission. You will learn useful skills in electronics, soldering, component assembly, and circuits by making Spencer. To further develop Spencer’s talents, you may go into programming, gaining practical experience with coding and computational thinking.
6. Inspiration and Creativity
Spencer acts as a springboard to spark your imagination and motivate further investigation. You may let your creativity run wild as you put together and customize your voice assistant. This do-it-yourself project promotes critical thinking, problem-solving, and invention, developing a creative and innovative mentality that may go beyond the context of making Spencer.
Recommended Age Group
Spencer is intended for those who are at least 11 years old. While the majority of the assembly procedures are simple, some, like soldering and tightening fasteners, call for prudence. Never be afraid to seek an adult for help if you need it. When using certain equipment and approaches, it is usually preferable to be guided.
Assembly Time Required
The construction of Spencer should take, on average, 4 hours to finish. However, take in mind that the timeframe may change based on your prior knowledge and expertise. Don’t worry if you’re unfamiliar with electronics! Enjoy the process, take your time, and don’t let any early difficulties get you down. You’ll grow more used to the procedures as you go along.
Skills Required
To start this DIY project, no special skills are needed. Fun and learning something new are the key goals. Your introduction to the field of electronics via Building Spencer will pique your interest in STEM fields and provide you the chance to get hands-on experience. Consider completing this assignment as the first step towards a lucrative engineering career.
Pros and Cons of Spencer
Pros of Spencer
Spencer provides an engaging and interactive experience, responding to voice commands and engaging in conversations to make you feel like you have a real companion.
With internet connectivity, Spencer can retrieve information in real-time, giving you quick answers to your questions and saving you time.
Spencer can be customized to reflect your style and preferences, allowing you to personalize its appearance, responses, and interactions.
Spencer comes with built-in jokes and entertaining responses, adding fun and amusement to your interactions with the voice assistant.
Building Spencer provides hands-on learning in electronics, soldering, circuitry, and programming, offering a valuable educational experience in STEM disciplines.
Cons of Spencer
The assembly process of Spencer may involve technical aspects such as soldering and component assembly, which can be challenging for beginners or individuals with limited experience.
Spencer heavily relies on internet connectivity to provide real-time answers and retrieve information, which means it may have limited functionality in areas with poor or no internet connection.
While Spencer offers basic voice assistant features, its capabilities may be more limited compared to advanced commercially available voice assistant devices.
Conclusion
Spencer, creating your own voice assistant is a fascinating and worthwhile endeavor. You’ll learn useful skills, expand your understanding of electronics, and enjoy the thrill of putting a complicated gadget together as you go along with the assembly process. Remember that the purpose of this project is to experience the thrill of learning, solving problems, and letting your imagination run free as well as to produce a final product. So be ready to join Spencer on this journey and discover a world of opportunities in the exciting world of voice assistants.
Konstanz, 28.06.2023 – fruitcore robotics hebt mit einem innovativen Betriebssystem, das die neueste KI-Technologie nutzt, die Industrieautomation auf ein neues Level. Industrieunternehmen steht mit horstOS ein neues Werkzeug zur Verfügung, das ihnen in jedem Schritt der Inbetriebnahme gesamter Anwendungen mit dem intelligenten Industrieroboter HORST zur Seite steht und dabei die Komplexität deutlich reduziert. Durch einen integrierten AI Copiloten können Industrieunternehmen die Effizienz ihrer Produktionsprozesse steigern und Zeit einsparen. „Generative KI treibt eine Veränderung vieler Aufgabenbereiche voran. Die neue Technologie wird die Automatisierung verändern und unseren Kunden eine ganze neue Automatisierungserfahrung verschaffen“, sagt Patrick Heimburger, Geschäftsführer (Chief Revenue Officer) von fruitcore robotics.
Das neue Betriebssystem von fruitcore robotics vereinfacht und beschleunigt die Konfiguration und Verwaltung aller am Prozess beteiligten Komponenten, das Programmieren sowie den Betrieb der fertig eingerichteten Anwendung. Die gesamte Steuerung von Roboter, Komponenten und bestehenden Industrieprozessen erfolgt über eine benutzerfreundliche Oberfläche, über die ihr Zusammenspiel noch leichter realisiert wird. horstOS umfasst im Wesentlichen drei miteinander verbundene Bereiche: den Bereich Komponentenmanagement, den Bereich für die
Programmerstellung und den Bereich Prozesssteuerung. Diese drei Bereiche bieten Anwendern alle Funktionen, mit denen sie ihre Gesamtanlagen schnell, einfach und effizient einrichten und nutzen können. Im Bereich Komponentenmanagement können Anwender dank standardisierter Schnittstellen alle für eine Gesamtanlage relevanten Komponenten wie beispielsweise Greifer, Kamerasysteme und Sicherheitssysteme nahtlos integrieren und zentral verwalten. Das Hinzufügen der Komponenten erfolgt mit einem Klick und ist bei allen Komponenten möglich, die über eine Web-App oder eine Digitale Schnittstelle verfügen – unabhängig vom Hersteller. Sollen bei einer der angeschlossenen Komponenten Statusinformationen abgefragt, Einstellungen kontrolliert oder Änderungen vorgenommen werden, lässt sich dies ganz einfach über das Roboterpanel mit horstOS als zentrale Bedienoberfläche umsetzen. Wechseln Anwender in den Bereich für die Programmerstellung finden sie sich in der intuitiven Bediensoftware horstFX wieder, in welcher sie den Programmablauf des Roboters unter Einbindung aller Komponenten erstellen. Steht der Programmablauf erstmal, kann dieser im Bereich Prozesssteuerung gestartet, gestoppt oder pausiert werden. Der Bereich Prozesssteuerung ermöglicht es Anwendern auch, den Betrieb und die Prozessüberwachung an ihre persönlichen Bedürfnisse und spezifischen Prozesse anzupassen. Mithilfe von Widgets können relevante Prozessdaten eingeblendet, der Status der angeschlossenen Komponenten angezeigt und häufig anzupassende Parameter zugänglich gemacht werden. So haben Anwender die volle Kontrolle über ihren Automatisierungsprozess.
Ask HORST Anything – AI Copilot hilft in allen Lebensphasen der Industrieroboter
„Unser neues Betriebssystem beinhaltet die fortschrittlichste Technologie und eine tiefe Integration künstlicher Intelligenz. Es setzt neue Standards für die schnelle Einbindung von Industrierobotern in Prozesse wie beispielsweise die Maschinenbeladung und -entladung, Qualitätssicherung, Teilevereinzelung oder Klebe- und Dichtmittelauftrag, so Patrick Heimburger. Mit dem AI Copiloten in horstOS erhalten Anwender einen intelligenten Assistenten, der in natürlicher Sprache in Echtzeit dabei unterstützt, die Herausforderungen der Automatisierung erfolgreich zu bewältigen. Ob bei der Einrichtung des Roboters und weiterer Komponenten, bei der Fehlerbehebung oder beim Vorschlagen von Programmbausteinen oder gar dem Schreiben ganzer Programme, der AI Copilot ermöglicht es Anwendern, schnell und präzise Lösungen für ihre Anwendungen zu finden und den Betrieb reibungslos aufrechtzuerhalten. Möchte der Anwender beispielsweise erfahren, wie er dem Roboter die von der Kamera ermittelte Teileposition übergeben kann, kann er diese Frage per Text-Prompt an den AI Copiloten richten und erhält innerhalb weniger Augenblicke den entsprechenden Code-Baustein.
Der AI Copilot von fruitcore robotics basiert auf ChatGPT und wurde speziell für die Anforderungen der Industrie trainiert. Er bietet Anwendern einen umfassenden Zugriff auf alle relevanten Anleitungen, Supportinhalte und Software-Dokumentationen von fruitcore robotics. Um Anwendern ein optimales Nutzungserlebnis zu bieten, setzt das Konstanzer Unternehmen auf stetige Erweiterungen der Fähigkeiten des AI Copiloten.
Zukunftsorientierte Automatisierung mit horstOS
Auch der Leistungsumfang von horstOS soll in den kommenden Jahren stetig wachsen. Schon heute ermöglicht der modulare Aufbau des Betriebssystems, externe Software und Services ohne großen Aufwand einzubinden. Auch anwenderspezifische Softwareprogramme und -oberflächen von OEMs können nahtlos integriert werden. „Durch horstOS wird die Zukunft der Automatisierung zur neuen Realität. Das System bietet umfangreiche Unterstützung, auch bei geringen Kenntnissen, und senkt
den Aufwand bei Einrichtung, Betrieb und After Sales maßgeblich“, erläutert Jens Riegger, Geschäftsführer (CEO) von fruitcore robotics. „Unsere intelligenten Industrieroboter sollen unseren Kunden nicht nur den besten Return-on-Investment auf dem Robotermarkt bieten. Insbesondere vor dem Hintergrund des allgegenwärtigen Fachkräftemangels sollen sie auch dabei helfen, die Produktivität zu steigern und wertvolle Zeit einzusparen“, so Jens Riegger.
Constance, June 28th, 2023 – fruitcore robotics takes industrial automation to a new level with an innovative operating system that uses the latest AI technology. With horstOS, industrial companies have a new tool at their disposal that assists them in every step of commissioning entire applications with the intelligent industrial robot HORST while significantly reducing complexity. With an integrated AI copilot, industrial companies can increase the efficiency of their production processes and save time. „Generative AI is driving a transformation of many task areas. The new technology will transform automation and provide our customers with a whole new automation experience,“ says Patrick Heimburger, Managing Director (Chief Revenue Officer) of fruitcore robotics.
The new operating system of fruitcore robotics simplifies and accelerates the configuration and management of all components involved in the process, the programming as well as the operation of the finished application. The entire control system of robots, components and existing industrial processes is carried out via a user-friendly interface through which their interaction is realized even more easily. horstOS essentially comprises three interconnected areas: the component management area, the program creation area and the process control system area. These three areas provide users with all the functions they need to set up and use their overall plants quickly, simple and efficiently.
In the component management area, users can seamlessly integrate and centrally manage all components relevant to an overall plant, such as grippers, camera systems and safety systems, thanks to standardized interfaces. Adding components takes just one click and is possible for all components that have a web app or a digital interface – regardless of the manufacturer. If status information needs to be queried for one of the connected components, settings need to be checked or changes need to be made, this can be implemented straightforward via the robot panel with horstOS as the central user interface. When users switch to the program creation area, they find themselves in the intuitive horstFX operating software, in which they create the robot’s program sequence with the integration of all components. Once the program sequence has been created, it can be started, stopped or paused in the process control system. The process control system also allows users to customize the operation and process monitoring to their personal needs and specific processes. Widgets can be used to show relevant process data, display the status of connected components, and access parameters that need to be adjusted frequently. This gives users full control over their automation process.
Ask HORST Anything – AI Copilot helps in all life phases of industrial robots
„Our new operating system incorporates the most advanced technology and deep integration of artificial intelligence. It sets new standards for the rapid integration of industrial robots into processes such as machine loading and unloading, quality assurance, parts separation or adhesive and sealant application, says Patrick Heimburger. With the AI Copilot in horstOS, users get an intelligent assistant that provides real-time support in natural language to successfully cope the challenges of automation. Whether setting up the robot and other components, troubleshooting, or suggesting program blocks or even writing entire programs, AI Copilot enables users to quickly and accurately find solutions for their applications and keep operations running smoothly. For example, if the user wants to know how to pass the part position detected by the camera to the robot, he can address this question to the AI Copilot via text prompt and receive the corresponding code block within a few moments.
The AI Copilot from fruitcore robotics is based on ChatGPT and has been specially trained for industry conditions. It offers users comprehensive access to all relevant instructions, support content and software documentation from fruitcore robotics. In order to provide users with an optimal user experience, the Constance-based company focuses on continuous enhancements of the AI Copilot’s capabilities.
Future-oriented automation with horstOS
The scope of horstOS is also expected to grow steadily in the coming years. The modular structure of the operating system already allows external software and services to be integrated without great effort. User-specific software programs and interfaces from OEMs can also be seamlessly integrated. „Through horstOS, the future of automation becomes a new reality. The system offers extensive support, even for those with little knowledge, and significantly reduces the effort required for setup, operation and after sales,“ explains Jens Riegger, Managing Director (CEO) of fruitcore robotics. „Our intelligent industrial robots are not only designed to offer our customers the best return-on investment in the robotics market. Especially against the backdrop of the ubiquitous shortage of skilled workers, they are also designed to help increase productivity and save valuable time,“ says Jens Riegger.
The mBot Ranger can be configured into three different robots: a robot tank, a three-wheeled racing car, and a self-balancing car. This allows kids to learn about different types of robots and how they work.
2. Programmable
The mBot Ranger is programmable using the mBlock software, which is based on Scratch 2.0. This allows kids to learn coding and programming skills in a fun and interactive way.
3. Easy to build
The kit is solidly built, mostly metal, and has easy-to-understand architecture. It comes with the tools to build several different iterations and lots of add-ons for customization.
4. Hands-on learning
The mBot Ranger combines building and programming, functionality and hands-on learning. This allows kids to learn by doing and to see the results of their work in action.
5. Control from smartphone or tablet
The mBot Ranger can be controlled from a smartphone or tablet using Bluetooth if you don’t like to program. This allows kids control their robot from a distance.
6. Great for entry-level coding lessons
The mBot Ranger is a great entry-level coding robot kit. It is straightforward and simple to build and control, making it a great choice for kids who are just starting to learn about coding and robotics.
These features make it a versatile and educational tool for teaching kids about robotics and coding.
Hardware
The Makeblock mBot Ranger is an educational robot with powder-coated metal parts and an Arduino compatible mainboard called the Me Auriga. Overall, the Makeblock mBot Ranger comes with a range of hardware and sensors that allow it to navigate, detect obstacles, follow lines, respond to light, and be controlled remotely. Here are some of the hardware and sensors in the kit:
1. Me Auriga mainboard
The Me Auriga mainboard is an Arduino-compatible board that provides a wide range of features and interfaces.
It is the brain of the robot and allows it to be programmed and controlled.
The Me Auriga board integrates various sensors, including a gyro sensor, temperature sensor, sound sensor, and ultrasonic sensor
2. Ultrasonic sensor
The mBot Ranger comes with an ultrasonic sensor that can detect obstacles and measure distances.
This allows the robot to navigate and avoid obstacles.
3. Line follower sensor
The kit also includes a line follower sensor that can detect and follow lines on the ground.
This allows the robot to follow a path and stay on course.
4. Light sensor
The mBot Ranger has a light sensor that can detect light intensity.
This allows the robot to respond to changes in light and to adjust its behavior accordingly.
5. Infrared receiver
The kit includes an infrared receiver that allows the robot to receive signals from a remote control.
This allows the robot to be controlled from a distance.
6. Gyro sensor
The gyro sensor can be used to determine the movement and posture of the robot.
It can be used to make a self-balancing robot.
7. Temperature sensor
The temperature sensor can be used to measure the temperature of the environment.
It can be used to create a robot that responds to changes in temperature.
8. Sound sensor
The sound sensor can be used to detect sound intensity.
It can be used to create a robot that responds to sound, such as a robot that moves towards a loud noise.
Conclusion
mBot Ranger is a solidly built kit, mostly metal, with easy-to-understand architecture. It comes with the tools to build several different iterations and lots of add-ons for customization. The user manual is excellent and lists out all the components in the kit. The mBlock interface is pretty intuitive, especially if kids have already used Scratch or another block-based language, so kids are likely to be able to work out how to program the Ranger through exploration. Overall, the Makeblock mBot Ranger is easy to use and a great tool for teaching kids about robotics, coding, and hands-on learning.
The Makeblock mBot Ranger is an excellent piece of DIY kit for kids to build different types of robots, write code, and control them from a smartphone or tablet. It is a great tool for teaching kids about robotics, coding, and hands-on learning.
mbot Ranger and more MakeBlock products can be found here.
Das umfassende Robotik-Schulungspaket von ABB Robotics soll Schüler und Studierende auf die Arbeitswelt der Zukunft vorbereiten
Es umfasst eine benutzerfreundliche kollaborative GoFa™-Roboterzelle, 56 Stunden an Kursmaterial sowie eine weltweit anerkannte STEM-Zertifizierung
Neuester Baustein einer weltweiten Kampagne mit dem Ziel, zusammen mit Bildungseinrichtungen die Qualifikationslücke in der Automatisierung zu schließen
Mit der Einführung eines sofort einsatzbereiten Schulungspakets ist ABB Robotics bestrebt, die weltweite Ausbildungslücke in der Automatisierung weiter zu schließen sowie Schüler und Studierende auf die Arbeitswelt der Zukunft vorzubereiten. Das Paket, das einen kollaborativen Roboter (Cobot) vom Typ GoFa, Lehrmaterial und eine weltweit anerkannte technische Zertifizierung beinhaltet, ist Bestandteil einer globalen Kampagne, die Arbeitnehmerinnen und Arbeitnehmer für eine neue Ära der Automatisierung fit machen soll
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Das ABB Robotics Education Package wurde entwickelt, um sicherzustellen, dass Bildungseinrichtungen hochqualifizierte junge Menschen für diejenigen Unternehmen ausbilden können, die von der robotergestützten Automatisierung profitieren wollen. Obwohl rund 80 Prozent der Bildungseinrichtungen weltweit glauben, dass die Automatisierung die Arbeitswelt in den kommenden zehn Jahren prägen wird, steht Robotik bei nur einer von vier Institutionen auf dem Lehrplan*. Gründe hierfür sind ein Mangel an ausgebildeten Lehrkräften und die Schwierigkeit, Robotik-Schulungen nahtlos in den Lehrplan zu integrieren.
„Da die robotergestützte Automatisierung in immer mehr Branchen – von der Fertigung und Distribution bis hin zum Einzelhandel und dem Gesundheitswesen – Einzug hält, suchen Unternehmen Menschen, die mit Robotern und Automatisierung vertraut sind“, betont Andrea Cassoni, Leiter der globalen Business Line General Industry bei ABB Robotics. „Das ABB Robotics Education Package bietet Schulen und Hochschulen eine einfache Möglichkeit, Robotik-Schulungskurse zu entwickeln und durchzuführen. Auf diese Weise trägt es dazu bei, die technische Qualifikationslücke zu schließen sowie Schüler und Studierende auf einen automatisierten Arbeitsplatz vorzubereiten.“
Das Herzstück des Pakets bildet die Schulungszelle mit einem voll funktionsfähigen kollaborativen GoFa-Roboter von ABB. Der auf einem kompakten Tisch montierte, preisgekrönte GoFa ist ein benutzerfreundlicher Cobot, der es Schülern und Studierenden ermöglicht, reale Industrieanwendungen wie Pick-&-Place-Aufgaben und 3D-Druck zu erlernen. Dank Lead-Through-Programmierung und der Software Wizard Easy Programming von ABB können auch 15-Jährige ohne technische Vorkenntnisse den Roboter bedienen.
Ein umfassendes Kursmaterial bietet den Lehrkräften alles, was sie benötigen, um die Teilnehmerinnen und Teilnehmer durch zwölf Lektionen für Einsteiger und Fortgeschrittene zu begleiten. Es führt von den Grundlagen der Robotik bis hin zu komplexeren Anwendungen und Programmen. Dazu wurde Schulungsmaterial aus der Industrie mithilfe von Pädagogen in ein schülerfreundliches Format gebracht, das Robotik-Konzepte verständlich darstellt. Insgesamt stehen 56 Stunden Inhalte, darunter Videos, interaktive Online-Übungen, 400 Testfragen sowie praktische Übungen mit dem Offline-Programmiertool RobotStudio® von ABB zur Verfügung. Letzteres wird von Unternehmen weltweit zur Planung, Simulation und Entwicklung realer Robotiklösungen in einer virtuellen Umgebung eingesetzt.
Der dritte Teil des Pakets ist eine weltweit anerkannte STEM-Zertifizierung für Lehrkräfte und Lernende, die von der Bildungsforschungs- und Zertifizierungsorganisation STEM.org unterstützt wird und authentifiziert ist. So können Lehrkräfte von ABB zertifiziert werden, die dann wiederum ihren Schülern oder Studierenden ihre Kompetenz zur Bedienung von Robotern bescheinigen können. Damit erhalten sie eine anerkannte Qualifikation, mit der sie gegenüber Arbeitgebern in über 80 Ländern ihre Fähigkeiten in der robotergestützten Automatisierung nachweisen können.
Die Einführung des Education Package ist ein weiterer Schritt im Bemühen von ABB, Schülern und Studierenden dabei zu helfen, die erforderlichen Fähigkeiten für eine Welt zu entwickeln, in der Roboter am Arbeitsplatz so selbstverständlich sein werden wie Laptops. Derzeit arbeitet ABB mit Bildungseinrichtungen in über 40 Ländern zusammen, um sicherzustellen, dass Schüler und Studierende die grundlegenden Kenntnisse der Roboterprogrammierung und -bedienung erlernen.
Robohood, world’s first robotics & AI-driven art & technology company has integrated both Stable Diffusion and a text generation neural network
FORT LAUDERDALE, FLA. (PRWEB) APRIL 25, 2023
Robohood, an art & technology company specializing in AI-driven solutions for robotics-generated physical art, has integrated two forms of AI technology into their software, Stable Diffusion and ChaptGPT both originally developed and released in 2022.
Robohood’s integrated Stable Diffusion technology is a deep learning, text-to-image model primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt. While the integrated ChatGPT technology is a fine-tune approach to transfer learning using both supervised and reinforcement learning techniques with detailed and articulate responses.
Through these newly integrated technologies, users now have two options when creating a painting with Robohood. The first option involves uploading an image from a device, generating a render, and then painting with a robot, which was the conventional method. Alternatively, they can use our AI-generation tool. To use this tool, users can input an image description in the „Generate by text“ field or request a topic suggestion in the „Can AI suggest a topic for you?” and the tool will offer suggestions in the interface. Once an idea has been selected, the user can copy and paste it into the image generation field and Robohood technology will generate an image that it can later render onto canvas.
“These newly integrated technologies allow for artists to have multiple options when creating artwork within the Robohood interface,” stated Victor Peppi, CEO of Robohood. “Combining art with AI-driven technology is our passion at Robohood and these technologies allow artists to have more freedom and solutions throughout their creative process.”
About Robohood
Robohood is an art & technology company specializing in AI-driven solutions for robotics-generated physical art. Robohood’s groundbreaking software/hardware solution, a brainchild of a brilliant team of software engineers, robotics experts and artists, turned Robohood into the world’s first robotics art company. Producing everything from software to robot-specific painting supplies, Robohood’s solution utilizes robotic manipulators to paint with oil and acrylic paints on various surfaces. To learn more about Robohood, visit the website at https://robohood.com/, and follow us on Facebook: https://facebook.com/RobohoodArts, and Instagram: @robohood.inc.
