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.
Update for the AI system IDS NXT: cameras can now also detect anomalies
In quality assurance, it is often necessary to reliably detect deviations from the norm. Industrial cameras have a key role in this, capturing images of products and analysing them for defects. If the error cases are not known in advance or are too diverse, however, rule-based image processing reaches its limits. By contrast, this challenge can be reliably solved with the AI method Anomaly Detection. The new, free IDS NXT 3.0 software update from IDS Imaging Development Systems makes the method available to all users of the AI vision system with immediate effect.
The intelligent IDS NXT cameras are now able to detect anomalies independently and thereby optimise quality assurance processes. For this purpose, users train a neural network that is then executed on the programmable cameras. To achieve this, IDS offers the AI Vision Studio IDS NXT lighthouse, which is characterised by easy-to-use workflows and seamless integration into the IDS NXT ecosystem. Customers can even use only „GOOD“ images for training. This means that relatively little training data is required compared to the other AI methods Object Detection and Classification. This simplifies the development of an AI vision application and is well suited for evaluating the potential of AI-based image processing for projects in the company.
Another highlight of the release is the code reading function in the block-based editor. This enables IDS NXT cameras to locate, identify and read out different types of code and the required parameters. Attention maps in IDS NXT lighthouse also provide more transparency in the training process. They illustrate which areas in the image have an impact on classification results. In this way, users can identify and eliminate training errors before a neural network is deployed in the cameras.
IDS NXT is a comprehensive AI-based vision system consisting of intelligent cameras plus software environment that covers the entire process from the creation to the execution of AI vision applications. The software tools make AI-based vision usable for different target groups – even without prior knowledge of artificial intelligence or application programming. In addition, expert tools enable open-platform programming, making IDS NXT cameras highly customisable and suitable for a wide range of applications.
In the past year, Elephant Robotics has launched various products to meet more user needs and help them unlock more potential in research and education. To help users learn more knowledge about machine vision, Elephant Robotics launched the AI Kit, which can work with multiple robotic arms to do AI recognition and grabbing. In June 2022, Elephant Robotics released the mechArm to help individual makers and students get better learning in industrial robotics.
Nowadays, robotic arms are used in an increasingly wide range of applications, such as industry, medicine, commercial exhibitions, etc. At the very end of 2022, ultraArm is launched, and this time, Elephant Robotics doesn’t just release a new robotic arm, but brings 5 sets of solutions to education and R&D.
Small but powerful
As the core product of this launch, ultraArm is a small 4-axis desktop robotic arm. It is designed with a classic metal structure and occupies only an area of A5 paper. It is the first robotic arm equipped with a high-performance stepper motors of Elephant Robotics. It is stable and owns ±0.1mm repeated positioning accuracy. What’s more, ultraArm comes with 5 kits together including slide rail, conveyor belt, and cameras.
Multiple environments supported
As a preferred tool for the education field, ultraArm supports all major programming languages, including Python, Arduino, C++, etc. Also, it can be programmed in Mac, Windows, and Linux systems. For individual makers who are new to robotics, they can learn robotic programming with myBlockly, a visualization software that allows users to drag and drop code blocks.
Moreover, ultraArm supports ROS1 & ROS2. In the ROS environment, users can control ultraArm and verify algorithms in the virtual environment, improving experiment efficiency. With the support of ROS2, users can achieve more functions and objects in the developments.
Five robotic kits with for Robot Vision & DIY
In the past year, Elephant Robotics found that many users have to spend large amount of time creating accessories or kits to work with robotic arms. Therefore, to provide more solutions in different fields, ultraArm comes with five robotic kits, which are devided into two series: vision educational kits and DIY kits. These kits will help users, especially students program easily for a better learning experience on practical exercises about AI robot vision and DIY robotic projects.
Vision educational kits
Combined with vision functions, robotic arms can be used for more applications in industry, medicine, education, etc. In robotics education, collaborative robotic arms with vision capabilities allow students to better learn about artificial intelligence. Elephant Robotics has launched three kits for machine vision education: Vision & Picking Kit, Vision & Conveyor Belt Kit, and Vision & Slide Rail Kit to provide more choices and support to the education industry. With the camera and built-in related AI algorithms (Yolo, SIFT, ORB, etc.), ultraArm can achieve different artificial intelligence recognition applications with different identifying ways. Therefore, users can select the kit based on their needs.
For Vision & Picking Kit, users can learn about color & image recognition, intelligent grasping, robot control principle, etc. For Vision & Conveyor Belt Kit and Vision, the robotic arm can sense the distance of materials for identifying, grabbing, and classifying the objects on the belt. Users can easily create simulated industrial applications in this kit, such as color sorting. Users can have deeper learning in machine vision with the Vision & Slide Rail Kit because the robot can track and grab objects through the dynamic vision algorithm in this kit. With the multiple programming environments supported, the vision educational kits are preferred for school or STEM education production line simulation. Moreover, Elephant Robotics also offers different educational programs for students and teachers, to enable them to better understand the principles and algorithms of robot vision, helping them operate these robot kits more easily.
DIY kits
There are two kits in the DIY series: the Drawing Kit and Laser Engraving Kit. Users will enjoyonline production, nameplate and phone case DIY production, and AI drawing with the multiple accessories in the DIY kits.
To help users quickly achieve DIY production, Elephant Robotics created software called Elephant Luban. It is a platform that generates the G-Code track and provides primary cases for users. Users can select multiple functions such as precise writing and drawing, laser engravingwith, only with a few clicks. For example, users can upload the images they like to the software, Elephant Luban will automatically generate the path of images and transmit to ultraArm, then users can choose drawing or engraving with different accessories.
There is no doubt that ultraArm with different robotics kits certainly provides a great deal of help and support to the education field. These kits offer better operating environments and conditions for students, and help them get better learning in robotic programming. Elephant Robotics will continue to launch more products and projects with the concept of helping more users to enjoy the robot world.
Now ordering ultraArm in Elephant Robotics Shop can enjoy the 20% discount with the code: Ultra20
Constance, February 28th, 2023 – Up to 8 kilograms payload, a reach of 1,018 millimeters, short cycle times: fruitcore robotics is launching HORST1000, a new robot whose performance parameters enable a wide range of additional applications and better meet the growing market for industrial processes such as machine placement and pick & place applications.
HORST1000 is a completely newly developed robot kinematics system that incorporates all the knowledge gained from industrial practice in recent years. Building on existing technology innovations, fruitcore robotics‘ patented robot transmission for HORST1000 has been further optimized using a machine learning algorithm, resulting in a significant increase in performance. In terms of design, fruitcore robotics focuses on a compact footprint and aesthetics, as it has done with its robots that have already won multiple awards in the past, such as the Fokus Open Award and the German Innovation Award. With the introduction of the new model, the predecessor HORST900 will no longer be continued.
Performance improvement based on existing technology innovations
In HORST1000, key performance features such as payload, range and workspace have been significantly improved. The new all-rounder has a payload of up to 8 kilograms and a reach of 1,018 millimeters. The developers placed particular focus on the workspace of HORST1000. The threedimensional workspace has increased by 40 % compared to HORST900, allowing 50 % larger trays to be processed. From the base, HORST1000 can move around 230 millimeters further forward than its predecessor, which corresponds to a 43 % longer linear path. This allows customers to enter machines more easily. Higher acceleration values of the individual axes in the nominal load range also ensure shorter cycle times. In a classic pick & place process, this improves the cycle time by up to 20 %.
„The technological innovations of HORST1000 let us further increase the performance difference compared to current cobots,“ explains Jens Riegger, Managing Director (CEO) and Co-Founder of fruitcore robotics. Patrick Heimburger, Managing Director (Chief Revenue Officer) and Co-Founder of fruitcore robotics, adds: „We now allow an even wider range of applications and help our customers implement industrial processes such as machine placement and pick & place even more easily and efficiently.“
Optimized for Machine Loading and Pick & Place
Thanks to its range and workspace design, HORST1000 is tailor-made for loading and unloading any machine tools; especially for lathes and milling machines, the robot is also ideally suited due to its software and interfaces. The robot can reach deep into the machines, the high axis accelerations enable a short cycle time. In addition, the maximum payload of 8 kilograms also allows the use of heavy tools and complex multiple gripper systems. As an automation solution, Digital RobotHORST1000, like its predecessor HORST900 and its brothers HORST600 and HORST1400, includes not only powerful and cost-effective hardware. It follows a coordinated operating concept, which not only makes the operation of the robot particularly simple, but also the implementation of the entire application. All components involved in the process, such as grippers, CNC systems and safety systems, are operated via the horstFX graphical user interface and centrally networked with the horstCOSMOS IIoT platform.
For example, the machine tool can be integrated as a 3D model in horstFX and component variants can be easily traded via the program management of the operating software. Switching between two tools can be mapped on the software side via the multi-tool feature. In addition to the connection to the IIoT platform, all fruitcore robotics robots come with an IIoT surf stick with SIM card as standard. This offers companies the possibility to go online with the robot system without having to integrate it into their company network. Customers can establish an internet connection as required and use horstCOSMOS to view their robot fleet on dashboards, including the process data of the robot application. This allows processes to be optimized independently or in coordination with fruitcore robotics. In addition, availability is increased because maintenance can be carried out via predictive maintenance and a quick response can be made to service cases via remote maintenance.
Pre-orders now possible
HORST1000 can be pre-ordered from the manufacturer from now on. Delivery will take place from 01.06.2023. The price for the new all-rounder can be found on the manufacturer’s website.
Konstanz, 28.02.2023 – Bis zu 8 Kilogramm Traglast, eine Reichweite von 1018 Millimetern, kurze Taktzeiten: fruitcore robotics bringt mit HORST1000 einen neuen Roboter auf den Markt, der mit seinen Leistungsparametern eine Vielzahl an weiteren Anwendungen ermöglicht und dem wachsenden Markt für Industrieprozesse wie Maschinenbestückung und Pick & PlaceAnwendungen noch besser entspricht.
HORST1000 ist eine vollständig neu entwickelte Roboterkinematik, in die sämtliche Erkenntnisse der letzten Jahre aus der industriellen Praxis eingeflossen sind. An bestehende Technologieinnovationen anknüpfend, konnte das patentierte Robotergetriebe von fruitcore robotics für HORST1000 mit Hilfe eines Machine-Learning-Algorithmus weiter optimiert werden, was zu einer deutlichen Leistungssteigerung führt. Beim Design setzt fruitcore robotics wie bei den bereits in der Vergangenheit mehrfach mit Preisen wie dem Fokus Open Award und dem German Innovation Award ausgezeichneten Robotern auf einen kompakten Footprint und Ästhetik. Mit der Einführung des neuen Modells wird der Vorgänger HORST900 nicht mehr weitergeführt.
Leistungsverbesserung auf Grundlage bestehender Technologieinnovationen
Bei HORST1000 konnten die wesentlichen Leistungsmerkmale wie Traglast, Reichweite und Arbeitsraum deutlich verbessert werden. Der neue Allrounder hat eine Traglast von bis zu 8 Kilogramm und eine Reichweite von 1018 Millimetern. Besonderen Fokus legten die Entwickler:innen auf den Arbeitsraum von HORST1000. Der dreidimensionale Arbeitsraum hat sich im Vergleich zu HORST900 um 40 % vergrößert, sodass 50 % größere Trays bearbeitet werden können. Vom Sockel aus kann HORST1000 rund 230 Millimeter weiter nach vorne fahren als sein Vorgänger, was einer 43 % längeren Linearbahn entspricht. Dadurch können Kund:innen besser in Maschinen einfahren. Höhere Beschleunigungswerte der einzelnen Achsen im Nennlastbereich sorgen außerdem für kürzere Taktzeiten. Bei einem klassischen Pick & Place-Prozess verbessert sich die Taktzeit dadurch um bis zu 20%.
„Die technologischen Innovationen von HORST1000 lassen uns den Leistungsunterschied zu den gängigen Cobots weiter erhöhen“, erklärt Jens Riegger, Geschäftsführer (CEO) und Mitgründer von fruitcore robotics. Patrick Heimburger, Geschäftsführer (Chief Revenue Officer) und Mitgründer von fruitcore robotics, ergänzt: „Wir ermöglichen nun ein noch größeres Spektrum an Anwendungen und helfen unseren Kund:innen dabei, Industrieprozesse wie Maschinenbestückung und Pick & Place noch einfacher und effizienter umzusetzen.“
Optimiert für Maschinenbestückung und Pick & Place
Dank seiner Reichweite und Arbeitsraumgestaltung ist HORST1000 wie geschaffen für die Be- und Entladung jeglicher Werkzeugmaschinen, insbesondere für Dreh- und Fräsmaschinen ist der Roboter auch aufgrund der Software und seiner Schnittstellen optimal geeignet. Der Roboter kann tief in die Maschinen eingreifen, die hohen Achsbeschleunigungen ermöglichen eine kurze Taktzeit. Darüber hinaus erlaubt die maximale Traglast von 8 Kilogramm auch den Einsatz von schweren Tools und komplexen Mehrfachgreifer-Systemen. Als Automatisierungs-Lösung umfasst Digital Robot HORST1000 wie schon sein Vorgänger HORST900 und seine Brüder HORST600 und HORST1400 nicht nur eine leistungsstarke und preisgünstige Hardware. Er folgt einem in sich abgestimmten Bedienkonzept, durch welches nicht nur die Bedienung des Roboters besonders einfach ist, sondern auch die Umsetzung der gesamten Anwendung. Alle am Prozess beteiligten Komponenten, wie Greifer, CNC-Anlagen und Sicherheitssysteme werden über die grafische Bedienoberfläche horstFX bedient und zentral mit der IIoT-Plattform horstCOSMOS vernetzt. So kann zum Beispiel die Werkzeugmaschine als 3D-Modell in horstFX eingebunden werden und Bauteilvarianten ganz einfach über die Programmverwaltung der Bediensoftware gehandelt werden. Der Wechsel zwischen zwei Tools kann softwareseitig über das Multi-Tool-Feature abgebildet werden. Neben der Anbindung an die IIoT-Plattform ist bei allen Robotern von fruitcore robotics ein IIoT-Surfstick mit SIM-Karte standardmäßig im Lieferumfang enthalten. Dieser bietet Unternehmen die Möglichkeit, mit dem Robotersystem online zu gehen, ohne es in ihr Firmennetzwerk einbinden zu müssen. Kund:innen können nach Bedarf eine Internetverbindung aufbauen und via horstCOSMOS auf Dashboards ihre Roboterflotte samt Prozessdaten der Roboteranwendung einsehen. So können Prozesse eigenständig oder in Abstimmung mit fruitcore robotics optimiert werden. Zudem erhöht sich die Verfügbarkeit, weil Wartungen per Predictive Maintenance erfolgen und bei Servicefällen schnell per Fernwartung reagiert werden kann.
Vorbestellungen ab sofort möglich
HORST1000 kann ab sofort beim Hersteller vorbestellt werden. Die Auslieferung erfolgt ab 01.06.2023. Der Preis für den neuen Allrounder kann der Website des Herstellers entnommen werden.
In 2021, Elephant Robotics launched the AI Kit. It is a robotic kit that integrates multiple functions including vision, positioning grabbing, and automatic sorting modules. For people who are new in robotics, AI Kit is a preferable tool to learn the knowledge about machine vision and AI knowledge.
With the continuous advancement of technology, Elephant Robotics has upgraded the AI Kit comprehensively, improving the quality of the hardware while optimizing the built-in algorithms and software to make the product more developable and scalable.
Machine vision is a technology that uses machines to replace the human eyes for target object recognition, judgment and measurement. Machine vision simulates human vision function by computer, and the main technology involves target image acquisition technology, image information processing technology, and target object measurement and recognition technology.
A typical machine vision system mainly consists of a vision perception unit, an image information processing and recognition unit, a processing result display unit and a vision system control unit.
Here we introduce what Elephant Robotics achieve in this upgraded AI Kit 2023.
Textbook and tutorials for robotics
To provide comphrehensive support to experimental and practical teaching, Elephant Robotics launches a textbook about machine vision programming and control. The book provides the knowledge about robotic arms, vision sensors, programming languages, etc. It is a perfect solution for K-12 edication, educational institudes, and colleges. With the help of the tutorials and textbooks, students will enjoy robotics through experiential learning with easier operation when using AI Kit 2023. And Elephant Robotics will launch the tutorials about programming the AI Kit 2023 on YouTube and Hackster continuously.
5 built-in mainstream algorithms
AI Kit 2023 uses eye-to-hand mode, it can achieve color localization by OpenCV, and frames out the colored objects, and calculates the spatial coordinate position of the objects relative to the robotic arm by the relevant point position. With the algorithms, the robotic arm on AI Kit 2023 will automatically recognize the color objects and classify to the corresponding bins.
Aruco codes are widely used to increase the amount of information mapped from the two-dimensional world to three-dimensional time. Elephant Robotics has added recognition algorithms to AI Kit 2023 to support the recognition of 4 different codes. It helps users to learn the related recognition algorithms and positioning applications.
Feature point refers to the ability to represent an image or target in an identical or very similar invariant form in other similar images containing the same scene or target. The feature points are determined by examining the differences between the pixel points and the 16 pixel points in the surrounding field, and the detection efficiency is greatly improved by the segmentation test algorithm.
This algorithm of AI Kit 2023 helps users understand the feature points of images, learn image segmentation, and save image features.
You Only Look Once (YOLO) is a very popular model architecture and object detection algorithm. Elephant Robotics builds this algorithm with the latest version in the AI Kit 2023, the YOLOv5. YOLOv5 makes further improvements on the basis of YOLOv4 algorithm, and the detectability including speed and accuracy are further enhanced. With YOLOv5, users can have a deeper understanding of artificial intelligence, such as the concept and function of neural networks and deep learning.
Shape recognition of objects is an important direction of pattern recognition. There are various representations of object shapes in computers. Based on different shapes, various shape recognition methods have been proposed, such as methods based on Fourier descriptors, principal component analysis, and invariance distance. In shape recognition, it is very important to identify the pattern features on which the recognition is based.
Hardware upgrades
In terms of hardware, AI Kit 2023 adds different sizes of parts boxes to assist the robotic arm to better classify objects. Secondly, AI Kit 2023 used the camera with higher accuracy and lightness adjustment to make the robotic arm more efficient in recognition. Elephant Robotics has also upgraded the suction pump installed at the end of the robotic arm, so that it has higher adaptability and stability when working with different robotic arms.
Software updates
Elephant Robotics develops a built-in visualization software and provides customization methods in the AI Kit 2023. In this software, users can directly select the different algorithms to perform different functions and change the coordinates. The visual interface helps users quickly identify, access and manipulate data, and enables interaction and manipulation in a variety of ways. AI Kit 2023 is more user-friendly now, evern beginner who are new in programming or has no knowledge of code can also use it with several clicks.
Many educational institutions and colleges have already adopted AI Kit 2023 as an educational tool for professional or laboratory use, enabling students to learn to better understand artificial intelligence, robotic programming, and automation.Elephant Robotics is focusing on developing more and better robotics solutions and kits to provide more comprehensive conditions for the technology and education industry and deepen the application of robotics in education and research.
Luwu, a STEM education technology company focused on the research and development of advanced robotics, has announced the launch of XGO 2, an advanced desktop-sized AI quadruped robot with an arm. This state-of-the-art robot brings a new level of intelligence and functionality to the world of robotics. XGO 2 is now available on Kickstarter: https://www.kickstarter.com/projects/xgorobot/xgo-2-worlds-first-raspberry-pi-robotic-dog-with-an-arm
XGO 2 is an intelligent and agile robotic dog, capable of sophisticated movements, 12 degrees of freedom, and a variety of motions. Its open-source nature allows users of all programming levels to program and customizes it with Blocky and Python. Additionally, the advanced AI modules built into XGO 2 allow for visual, voice, and gesture recognition, enabling the robotic dog to hear, understand, and respond to users like a real dog.
One of the most notable features of XGO 2 is its robotic arm. This arm allows it to perform tasks such as grasping and manipulating objects, making it more versatile and opening up a whole new realm of possibilities for the robotic dog to be used in various scenarios.
XGO 2 is also incredibly easy to control. Its user-friendly interface allows for easy programming and control, making it accessible to users of all skill levels. Whether you’re looking to create a new robot application, enhance your research, or simply have fun with a cutting-edge piece of technology, XGO 2 is the perfect choice. Its unique combination of intelligence, agility, and affordability makes it an ideal choice for anyone looking to add a robotic dog to their collection.
Roboter werden in vielen Bereichen eingesetzt und gibt es in den unterschiedlichsten Arten. Einige der häufigsten Robotertypen sind:
Service-Roboter: Service-Roboter sind darauf ausgelegt, Menschen bei verschiedenen Aufgaben zu unterstützen und ihnen das Leben zu erleichtern. Sie werden oft in der Pflege eingesetzt, um beispielsweise alte oder kranke Menschen bei der Körperpflege oder beim Transport zu helfen. Ein Beispiel hierfür ist der Roboter „Paro“, der als Therapie-Roboter in Altersheimen zum Einsatz kommt und durch seine tierähnliche Gestalt und sein Verhalten die soziale Interaktion und das Wohlbefinden der Bewohner verbessern soll.
Service-Roboter können aber auch in anderen Bereichen eingesetzt werden, wie zum Beispiel in der Gastronomie, um Getränke und Speisen zu servieren, oder als Sicherheitsdienst, um Einbruch oder andere Störungen zu verhindern. Ein bekanntes Beispiel hierfür ist der Roboter „Pepper“, der in vielen japanischen Banken und Einkaufszentren zum Einsatz kommt und Kunden begrüßt und Fragen beantwortet.
Eine weitere Anwendung von Service-Robotern ist der Transport von Gütern oder Personen. Hierfür gibt es beispielsweise den Roboter „Starship“, der in einigen Städten zum Einsatz kommt und Lebensmittel oder andere Güter innerhalb eines festgelegten Bereichs zustellen kann.
Unterhaltungsroboter: Unterhaltungsroboter dienen in erster Linie der Unterhaltung und sind meist weniger leistungsfähig als andere Robotertypen. Sie können in Form von Spielzeug für Kinder auftreten, wie beispielsweise der Roboter „Anki Cozmo“, der verschiedene Aufgaben lösen und Spiele mit seinen Benutzern spielen kann.
Unterhaltungsroboter können aber auch als Haustier-Ersatz dienen, insbesondere für Menschen, die aus gesundheitlichen Gründen kein echtes Haustier halten können oder wollen. Ein bekanntes Beispiel hierfür ist der Roboter „Aibo“, der von Sony entwickelt wurde und als elektronischer Hund verkauft wird. Aibo kann verschiedene Befehle ausführen und sich durch sein Verhalten wie ein echter Hund verhalten.
Unterhaltungsroboter können auch auf Messen oder anderen Veranstaltungen als Attraktion und Besuchermagnet dienen.
Industrielle Roboter: Industrielle Roboter werden in der Industrie eingesetzt, um bestimmte Aufgaben zu erledigen, die für Menschen zu schwierig, gefährlich oder monoton sind. Sie werden oft in der Automobilindustrie, in der Elektronikfertigung oder in der chemischen Industrie eingesetzt.
Industrielle Roboter gibt es in verschiedenen Ausführungen, von denen einige sehr groß und andere sehr klein sind. Sie können mit verschiedenen Werkzeugen ausgestattet werden, um unterschiedliche Aufgaben erledigen zu können. Beispiele für industrielle Roboter sind Schraub- und Lösewerkzeuge, Schweißgeräte oder Lackierpistolen.
Industrielle Roboter sind in der Regel sehr robust und zuverlässig und können 24 Stunden am Tag arbeiten. Sie werden oft in Produktionslinien eingesetzt, um bestimmte Aufgaben zu erledigen, die immer wiederkehren. Durch den Einsatz von Industrierobotern können Unternehmen ihre Produktivität erhöhen und Fehler reduzieren.
Software Roboter: Software Roboter, auch „Bots“ genannt, werden in der Regel im Bereich der Software-Entwicklung eingesetzt. Sie können eingesetzt werden, um Routineaufgaben automatisch zu erledigen oder um die Interaktion mit Benutzern zu erleichtern.
Ein bekanntes Beispiel für einen Software Roboter ist der Chatbot, der in vielen Unternehmen eingesetzt wird, um Kundenanfragen automatisch zu beantworten. Chatbots können beispielsweise in Kundenservice-Portalen oder auf Social Media Plattformen eingesetzt werden, um Fragen von Benutzern zu beantworten oder Hilfe anzubieten.
Eine weitere Anwendung von Software Robotern ist der Einsatz als virtual personal assistant, der beispielsweise in Smartphones oder Smart Home Geräten integriert sein kann. Diese Roboter können dem Benutzer bei der Organisation seines Tagesablaufs oder der Steuerung von Geräten im Haushalt helfen.
Insgesamt gibt es viele verschiedene Arten von Robotern, die für unterschiedliche Aufgaben eingesetzt werden können. Sie alle haben ihre eigenen Stärken und Schwächen und eignen sich für bestimmte Anwendungen besser als andere. Es ist wichtig zu beachten, dass der Einsatz von Robotern
Ein wichtiger Aspekt bei der Auswahl eines geeigneten Roboters ist die Kosten. Service-Roboter und Unterhaltungsroboter sind in der Regel für den Endverbraucher bestimmt und können daher recht teuer sein. Industrielle Roboter hingegen sind meist kostenintensiver in der Anschaffung, können aber durch ihre hohe Leistungsfähigkeit und Zuverlässigkeit auf lange Sicht Kosten einsparen. Software Roboter hingegen sind in der Regel kostengünstiger, da sie in der Regel als Softwarelösung bereitgestellt werden und keine Hardware benötigen.
Ein weiterer Faktor bei der Auswahl eines Roboters ist seine Leistungsfähigkeit und Zuverlässigkeit. Industrielle Roboter sind in der Regel sehr leistungsfähig und zuverlässig, da sie für den Einsatz in der Industrie entwickelt wurden und hohen Belastungen standhalten müssen. Service-Roboter und Unterhaltungsroboter hingegen sind oft weniger leistungsfähig, aber dennoch in der Lage, bestimmte Aufgaben zu erledigen. Software Roboter hingegen sind in der Regel sehr zuverlässig, solange sie korrekt programmiert wurden.
Ein weiteres wichtiges Kriterium bei der Auswahl eines Roboters ist seine Flexibilität und Anpassungsfähigkeit. Industrielle Roboter sind meist sehr spezialisiert und auf bestimmte Aufgaben ausgelegt, während Service-Roboter und Unterhaltungsroboter oft flexibler und anpassungsfähiger sind. Software Roboter hingegen können in der Regel relativ einfach angepasst werden, solange die notwendigen Programmierkenntnisse vorhanden sind.
Abschließend lässt sich sagen, dass es viele verschiedene Arten von Robotern gibt, die für unterschiedliche Aufgaben eingesetzt werden können. Die Wahl des geeigneten Roboters hängt von vielen Faktoren ab, wie beispielsweise Kosten, Leistungsfähigkeit, Zuverlässigkeit, Flexibilität und Anpassungsfähigkeit. Es ist wichtig, sorgfältig zu überlegen, welcher Robotertyp am besten für die geplante Anwendung geeignet ist.
LITTLETON, Colo., 2022 /PRNewswire/ — Luxonis, a Colorado-based robotic vision platform, is thrilled to introduce rae, its first fully-formed and high-powered personal robot. Backed by a Kickstarter campaign to help support its development, rae sets itself apart by offering a multitude of features right out of the box, along with a unique degree of experimental programming potential that far exceeds other consumer robots on the market. The most recent of a long line of Luxonis innovations, rae is designed to make robotics accessible and simple for users of any experience level.
„rae is representative of our foremost goal at Luxonis: to make robotics accessible and simple for anyone, not just the tenured engineer with years of programming experience,“ said Brandon Gilles, CEO of Luxonis. „A longstanding truth about robotics is that the barrier to entry sometimes feels impossibly high, but it doesn’t have to be that way. By creating rae, we want to help demonstrate the kinds of positive impacts robotics can bring to all people’s lives, whether it’s as simple as helping you find your keys, talking with your friend who uses American Sign Language, or playing with your kids.“
At its core, rae is a world-class robot, and includes AI, computer vision and machine learning all on-device. Building upon the technology of the brand’s award-winning OAK cameras, rae offers stereo depth, object tracking, motion estimation, 9-axis IMU data, neural inference, corner detection, motion zooming, and is fully compatible with the DepthAI API. With next-generation simultaneous localization and mapping (SLAM), rae can map out and navigate through unknown environments, and is preconfigured with ROS 2 for access to its robust collection of software and applications.
Featuring a full suite of standard applications, rae offers games like follow me and hide and seek, and useful tools like barcode/QR code scanning, license plate reading, fall detection, time-lapse recording, emotion recognition, object finding, sign language interpretation, and a security alert mode. All applications are controllable through rae’s mobile app, which users can use from anywhere around the world. They can also link with Luxonis‘ cloud platform, RobotHub, to manage customizations, download and install user-created applications, and collaborate with Luxonis‘ user community.
Crowdfunding campaigns and developing trailblazing products that roboticists love is something that is in Luxonis‘ DNA, which is made evident by its established track record of two previously successful campaigns. Luxonis‘ first Kickstarter for the OpenCV AI Kit in 2021 raised $1.3 million with 6,564 backers, and the second for the OAK-D Lite raised $1.02 million with 7,988 backers. With the support of robot hobbyists and brand loyalists, as well as new target backers such as educators, students, and parents, rae is en route to leave an impact as a revolutionary personal robot that isn’t limited to niche demographics.
Pricing for rae starts at $299 and international shipping is available.
Interested backers can learn more about the campaign here.
The mission at Luxonis is robotic vision, made simple. They are working to improve the engineering efficiency of the world through their industry leading and award winning camera systems, which embed AI, CV, and machine learning into a high performing, compact package. Luxonis offers full-stack solutions stretching from hardware, firmware, software, and a growing cloud-based management platform, and prioritizes customer success above all else through the continued development of their DepthAI ecosystem.
COPENHAGEN, Denmark—November 2022—modl.ai, which seeks to remove the shackles of game development with a transformative AI engine, announced today it has closed Series A funding of €8.5m with lead investor Griffin Gaming Partners and M12 – Microsoft’s Venture Fund. The company received additional participation from Rendered.vc, PreSeed Ventures, and Transistormedia.
The modl.ai AI engine is redefining game development by equipping developers with an essentially unlimited army of bots that can adapt to various playing styles, employ dynamic moves and tactics. This gives developers power to enhance automation and remove the redundancies and manual efforts that often stymie and delay the release of new games and updates by months or even years.
Pierre-Edouard Planche, Partner at Griffin Gaming Partners, said: „Gaming is one of the trickiest user experiences for which to automate testing, and it therefore requires an utmost degree of technical talent and research combined with direct experience working in games. This is why we are very excited to be backing Christoffer, Lars, Benedikte, and the modl.ai team to help streamline a growing pain and multi-billion-dollar industry expense that is top of mind for many game developers.“
Carli Stein of M12 added: “At M12, we’re excited about the impact modl.ai will have on the gaming industry, allowing game developers to focus on the parts of development they love, while automating the costly, time-consuming, and manual processes they don’t,” said Carli Stein, an investor at M12. “When we met Christoffer and the modl.ai team, we knew they had the right combination of highly technical domain expertise, coupled with a product suite that has the potential to revolutionize game development as we know it.”
modl.ai was founded by a talented team of game developers, engineers and AI experts led by CEO Christoffer Holmgård, who saw the opportunity to use AI to automate and improve multiple aspects of the game development process. Between them, the company founders have developed and launched more than 30 games for PC, Mac, Playstation, Xbox, Switch, Apple Arcade and further platforms.
“We started modl.ai to build the tools and technology we always wished we had as game developers,” said Christoffer Holmgård, CEO and Co-Founder. “In 2018, we decided that the timing was right, both for technology and the market. The founders had worked together in games and AI for more than a decade, always discussing how we could bring advanced AI to game developers broadly, offering something completely new to the industry that we love. All games are unique, creative works, but they share production needs and technological characteristics. That’s why the games industry is becoming increasingly modular and standardized. This is a good thing, and we want to be the de facto AI Engine for as many games as possible.”
With the new funding, the company will expand its reach to make the AI Engine available to developers worldwide. With simple setup, developers will get access to AI players – to not just test and balance their games but also have access to customizable bots who will play their game with or against their player base. modl.ai’s AI Engine works with the major publicly available game engines such as Unity and Unreal Engine and can be extended to support any modern game engine.
modl.ai’s AI Engine drives bots for games, enabling AI players that test, evaluate, and even play games in the place of human players. The market for testing and quality assurance in games alone is several billion dollars, and the need for bot players has become crucial in a multiplayer focused $200Bn+ industry.
The games industry is on the cutting edge of technology and innovation; however much of the game development process is highly manual. This means significant creative potential with highly skilled developers, as well as precious speed to market, is lost to rote work and monotonous daily routine. modl.ai is on a mission to change this, building an AI Engine that frees developers to focus on creating, by automating the parts of the game development process that are repetitive and time consuming through AI players.
„Game testing is an endemic, universal, yet overlooked pain point in the industry that has material impact on studio operations, profitability, and title performance. Automation solutions have not emerged due to the complex nature of games and unique design. We strongly believe that modl.ai is the breakthrough team to tackle this moonshot opportunity and, in doing so, is positioned to build a powerful AI platform developed for 3D environments that can grow beyond games,“ stated Jiten Dajee, Rendered VC.
“At PreSeed Ventures, we know it’s all about a few individuals with a rare set of traits and the right mentality to move the needle and modl.ai’s CEO, Christoffer Holmgård is one of those people,” said Mads Klarskov Petersen, COO of PreSeed Ventures. “modl.ai has not only attracted top talent within the space, 12 PhDs from applied AI in games, but has proven the growing importance that AI plays across different aspects of modern game development. Moreover, Christoffer is one of our favorite examples of how a Danish startup can attract international talent and investors, by building a unique technology and sticking to its purpose: helping developers to enhance and increase player engagement no matter the market direction.”
ABOUT modl.ai
Headquartered in Denmark, modl.ai is a four-year-old company that is transforming the game development market with its state-of-the-art AI Engine and machine learning models. Staffed by many of the industry’s best and brightest, modl.ai currently ranks second in the world among private companies for the number of technical game publications its team has collectively authored. With modl.ai’s engine and game-playing bots, testing, evaluation, overall game development and speed to market will never be the same. „If anyone can bring games AI research to the industry and succeed, this is the team“ – Ken Stanley, OpenAI alum.“ For more please visit modl.ai.
