#leonardo ai beginners guide

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Unleash your inner Artist with leonardo ai the Ultimate Guide to AI generated Art

Unleash Your Inner Artist with Leonardo.ai: The Ultimate Guide to AI-Generated Art

Ever wished you could paint like Van Gogh, design fantastical creatures, or create breathtaking landscapes with just a few words? Thanks to the magic of AI, that dream is now a reality! Welcome to the world of Leonardo.ai, a revolutionary platform that puts the power of AI-generated art right at your fingertips.

This guide is your one-stop shop to understand everything about Leonardo.ai – what it is, how it works, and why it's making waves in the creative community. Whether you're a seasoned artist, a curious beginner, or simply fascinated by the possibilities of AI, get ready to dive into the exciting world of effortless art creation.

What Exactly is Leonardo.ai?

Leonardo.ai is an online platform that uses advanced AI algorithms to generate stunning visuals based on text prompts. Think of it like a digital art genie: you tell it what you want to see, and it conjures it into existence! Similar to popular AI art generators like Midjourney and DALL-E 2, Leonardo.ai stands out with its unique blend of user-friendly features and powerful customization options.

the full article: https://elevenai.co/unleash-your-inner-artist-with-leonardo-ai-the-ultimate-guide-to-ai-generated-art

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Mastering Leonardo AI: A Comprehensive Guide to this Powerful Image Generation Tool

Introduction to Leonardo AI: Access and Understanding Basic Features

Those who journey into the world of digital art, beginners and professionals alike, are often seeking tools that can amplify their creative expression and simplify the creative process. Leonardo AI is such a tool and is rapidly making an impactful stride in the artistic arena. In this comprehensive guide, we will dissect Leonardo AI, highlighting the tool's exceptional features and capabilities. Inspired by one of the revered polymaths of the Italian Renaissance, Leonardo da Vinci, Leonardo AI embodies the union of art and technology, holding the potential to transform the way we create and perceive visual art. While it may seem intimidating at first glance, accessing and getting to know the platform can be a rewarding venture for anyone with a desire to explore image generation at its best. To access Leonardo AI, visit their official website as per the instruction provided in the YouTube tutorial referenced for this guide. On the homepage, you'll find an inviting button that reads 'Start using Leonardo'. This button is your gateway to entering a realm of innovative image generation. Upon clicking, you'll discover a stunning and intuitive interface that is remarkably user-friendly, even for those with limited technical expertise. The accessibility of Leonardo AI's platform makes it an ideal choice for artists, designers, and entrepreneurs who are keen on exploring the capabilities of AI in image generation. As this guide intends to offer you a deep understanding of Leonardo AI, we will delve extensively into various features and models available on Leonardo AI, predominantly showcasing a range of realistic and artistic styles you can play around with. For beginners stepping into digital art creation or image generation, this tool stands out as an excellent option. With a plethora of models to test, you will get the chance to experiment with different prompts, refine your creative skills and bring your artistic vision to life. One exciting feature of Leonardo AI that underscores its community spirit is the 'Community Feed'. From novices to seasoned professionals, Leonardo AI houses a community of avid users, continuously creating and sharing their work. By exploring this feed, you can gain inspiration from a variety of creations, recognize trends, and identify styles that resonate with your artistic aspirations. An added bonus for the creatively inclined is the option to create your own model based on a collection of images, introduced in the 'Training and Datasets' section. With this impressive feature, you can weave together a series of images, training the AI to generate output in your chosen style. This capability adds another level of personalization to your creations, ensuring your artistic voice shines through. To round out this introduction to Leonardo AI, let's briefly highlight the three main tools that will be your arsenal in this artistic endeavor. These consist of the AI Image Generation, AI Canvas, and Texture Generation. The AI Image Generation tool allows you to generate images from textual prompts. The AI Canvas is a platform to edit and add content to your images and finally, Texture Generation tool lets you create unique textures. In the chapters that follow, we will delve deeper into these tools, demystifying their functions and revealing tips and tricks to using them effectively. Keep in mind, Leonardo AI is as much a tool for novel experimentation as it is for accomplishing particular artistic goals. So let your imagination run wild and let Leonardo AI's capabilities guide your creative journey.

Exploring Leonardo AI's Suite of Tools: Image Generation, Canvas, and Texture

Now that we've highlighted the basics of Leonardo AI, it's time to dive into the heart of this platform's capabilities. Leonardo AI's suite of tools features AI image generation, AI canvas, and texture generation - each providing unique opportunities to elevate your creations. The tool that draws immediate attention in Leonardo AI's repertoire is the AI Image Generation tool. This tool is nothing short of revolutionary in the realm of digital art creation. The AI Image Generation tool transforms simple textual prompts into stunning visual representations. It might feel like magic, but it's pure technology at work. It brings your artistic vision to life with unprecedented ease and versatility. Picture this: you input the text "an autumnal landscape in watercolors," and Leonardo AI's tool generates a breathtaking image capturing your prompted scene in vivid detail. To utilize AI Image Generation, you simply navigate to the corresponding page on Leonardo AI's platform. Here, you are instructed to input your prompt in a provided text box. Prompt input is not limited to descriptions of scenes or objects. It could also contain instructions for stylistic approaches that the AI should consider while generating the image. With prompts input, your next step is to select the modeling option that best suits your requirements. Leonardo AI offers an array of models to choose from, enabling a wide range of aesthetic outcomes. There's a lot more to explore within the AI Image Generation page. A unique feature offered is a daily token limit and coin system. As a user, you need to be mindful of the number of tokens you consume based on the complexity of the image prompts and models you select. The coin system helps manage resource allocation, ensuring all users get fair access to AI's creative capabilities. Your journey of discovery within Leonardo AI's suite doesn't end here. An exciting tool that allows further refinement of your generated images is the AI Canvas tool. This tool is an in-built editor where you can make adjustments to your generated image or even add new elements to it. Think of AI Canvas as a finishing school for your AI-generated art, where you can fine-tune and perfect your creations. It is an artist's playground where you can play around with different features to enhance your images. Whether it's adjusting the brightness or contrast, cropping the image, or tweaking the color balance, the AI Canvas is your tool to make the final creative decisions. The third tool at your disposal is Leonardo AI's Texture Generation tool. This tool can generate distinct and intricate textures based on your prompts, further expanding the possibilities for your image creation. By adding unique textures to your images, you can imbue a sense of realism or even impart a stylistic effect. From capturing the grain of a tree bark or the roughness of a mountain range to creating an alien skin texture, the possibilities of texture creation are endless. Collectively, these tools offer a robust platform for any digital art creator or image generator. As you continue to explore and experiment with these tools, you'll find that they equip you with the capability to create remarkable outputs. Whether you are a novice artist, a creative professional, or an entrepreneur looking to experiment with digital images, Leonardo AI's suite of tools is poised to take your creative endeavors to new heights.

A Deep Dive into Leonardo AI’s Image Generation: Prompt Inputs, Models and Output

Having extensively explored Leonardo AI's suite of tools, it's time to dive deeper into its stand-out feature, that is, Image Generation. This chapter takes you through the core of Leonardo AI's Image Generation process: Prompt Inputs, Models, and Output. Before plunging into the depths of image generation, it's critical to establish a foundational understanding of the process that facilitates the conversion of textual prompts into visual illustrations. At its core, Image Generation is an AI-driven process that interprets the semantics of your input prompt, visualizes it, and renders generated images with impressive accuracy and creativity. The sea of creativity gets its first ripple when you input your prompt. This prompt can reinforce various ambitious creative expressions and can be as simple, abstract, or detailed as you like. For instance, you could use a simple prompt like "a serene sunrise," or something more specific like "a castle in the Scottish highlands at dawn." Leonardo AI's AI is flexible in interpreting your prompts, offering a wide array of visual outputs based on the information you have given. The models offered by Leonardo AI work backstage in this creative production, translating your words into images. Each model has been trained on a different dataset, allowing them to generate a wide variety of stylistic results. For instance, you can select from models that have been trained to produce realistic imagery or those that lean towards more cartoonish or abstract styles. On that note, while evaluating the models at Leonardo AI, keep in mind that experimenting with different models often leads to diverse and sometimes unexpected results. Such experimentation broadens your awareness of the tool's capabilities and helps you gain a more nuanced understanding of the impact of each model on your final output. The final leg of this deep dive is the output generation. Once you've selected a model and input your text prompt, Leonardo AI focuses its computational power and creative intelligence to provide you with a unique image. The generated image carries the narrative and style encompassed in your prompt, represented in the chosen aesthetic delivered by the model. Another praiseworthy feature Leonardo AI integrates into this process is a history of your generated images. This repository allows you to revisit previous iterations of your artistry, compare different outputs, and decide upon any adjustments or revisions in future creations. As previously mentioned, Leonardo AI is all about experimentation - this is precisely what harnesses the tool's immense power. Combining different prompts with various models allows you to create unique outputs that challenge conventional image generation norms. With time, as you become more familiar with how different prompts are interpreted by the different models, you will be able to better shape the AI's creations to align with your creative vision. Every great artist knows that exploration is the heart of creativity. That’s exactly what Leonardo AI offers - an endless landscape of creative exploration.

Leveraging Leonardo AI: Existing Image References and Creative Experimentation

With a solid understanding of how Leonardo AI's Image Generation works, it's time to take things a step further. Creative expression often involves more than just creating; it's also about reshaping, experimenting, and sometimes even re-imagining. Leonardo AI allows you to do just that by integrating existing image references into the generation process. Referencing existing images opens a world of possibilities, giving you the power to guide the AI's creativity based on established visual cues. By leveraging this feature, you can give further direction to the AI regarding stylistic nuances, object placements, color palettes, or overall thematic representation. Essentially, image references serve as blueprints, providing more context to the generation process. To use this feature, simply select an image using the file uploader on Leonardo AI's platform, adjusting the strength of the reference image's influence to guide your output. This adjustment is key to striking a balance between replicating the reference and maintaining the uniqueness of the image being generated. Thoughtfully leveraging image references can result in more than just aesthetically pleasing results. It can be a powerful tool in enhancing the expression of your ideas. For instance, referencing a Van Gogh's painting could guide the AI model's brush strokes, color schemes, and overall approach to image generation. All without cloning the original work, but rather applying its stylistic qualities to your new creation. Creative experimentation is at the heart of leveraging Leonardo AI to its maximum potential. While using an existing image as a reference, you are encouraged to adjust the strength of the influence according to your creative vision. Remember, every iteration offers a new learning experience. Revisiting your creations, comparing results, tweaking your prompts, or switching up your images will only deepen your understanding of the workings of this tool, hence, shaping your expertise as an AI artist. In addition, utilizing image references can greatly influence style transfers. Imagine applying the aesthetics of a classic painting to a modern cityscape, or imposing an abstract style onto a naturalistic image; the options are boundless. To sum it up, by leveraging Leonardo AI's feature to utilize a reference image, you greatly broaden the range of outputs you can produce. It's all about trial and error, risk and reward, just like any other form of artistic expression. So, keep exploring, experimenting and refining until you've crafted a visual masterpiece that's uniquely yours.

Advancing Skills in Leonardo AI's Canvas Editor: Achieving Artistic and Commercial Goals

In the landscape of digital art, image generation is only the first step. Adding your unique touch, refining the images, and adapting them to specific contexts are just as crucial. Realizing this, Leonardo AI brings you an additional component to advance your creative journey, the Canvas Editor. The Canvas Editor is a dynamic tool where you can manipulate generated images and add content, further personalizing your creations. This editing platform allows you to dive into each generated image and make changes tailored to your artistic or commercial prerequisites. Whether you want to remove elements, adjust colors, or integrate text, the Leonardo AI Canvas Editor provides all those functionalities. One major advantage of the Canvas Editor is how it aids in achieving consistency. For instance, if you are developing a series of images for a storybook or a comic, it's vital to maintain a consistent style, color palette, and character design throughout the series. With Canvas Editor, you can tune each image accordingly, ensuring a seamless flow across your series. Another strength of the Canvas Editor lies in its capacity to aid in commercial projects. You might be looking to create print-on-demand products, logos, or stickers; the Canvas Editor is your one-stop solution. This tool gives you the creative liberty to turn simple images into commercial products with value in the market. By integrating text or personalizing the color palette according to the brand's guidelines, you can convert an AI-generated image into a professional product suitable for marketing campaigns, packaging designs, web designs, or print media. In addition to these, the Canvas Editor can be instrumental in creating characters. With Leonardo's Image-to-Image generation, you can generate a number of images and then use the Canvas Editor to maintain consistency. You can refine facial features, tune the color palettes, and maintain uniformity in style across all the images. To achieve the best results, take your time while experimenting with the Canvas Editor. You might discover that making minor changes to elements such as saturation, contrast, or exposure can drastically affect the overall impact of the image. You can also play around with different layers, adding various elements for depth and complexity. Mastering the Canvas Editor of Leonardo AI not only aids in achieving your artistic goals but also equips you with a handy skill-set for commercial endeavors. So, step into the virtual studio and get creative with the Canvas Editor. It's the journey of exploring, experimenting, and creating that makes the final masterpiece worth all the effort.

Utilising Leonardo AI for Business: Creating Characters, Products and More

Leonardo AI, while undeniably a haven for artists, is more than just a tool to create impressive digital art. Its capacities extend far beyond, offering a wide array of business applications. With Leonardo AI, businesses can produce stunning visual content, create unique products, and even develop captivating characters, all while saving significant resources and time. Visual content is an essential component of any successful marketing strategy. Leonardo AI greatly simplifies the process of creating high-quality visual content. Whether it’s for social media, advertisements, product descriptions, or website branding, Leonardo AI’s AI-powered image generation allows businesses to create in-house visual content quickly and affordably. The ability to create products based on AI-generated images presents numerous potential business opportunities. For instance, print-on-demand businesses can leverage AI-generated graphic designs, creating unique products like T-shirts, coffee mugs, stickers, and more. By consistently creating and adding new designs using Leonardo AI, businesses can keep their offerings fresh and engaging. Moreover, Leonardo AI's powerful image generation and Canvas Editor allow businesses to create a range of merchandise with a distinct sense of uniformity and brand identity. By customizing generated images to fit their brand guidelines, businesses can effectively reinforce their brand image in a creative and visually appealing manner. For businesses in the entertainment industry, Leonardo AI offers unique opportunities for character creation. It can be used to generate a wide range of character images based on specific prompts. The consistency maintained through the Image-to-Image generation and subsequent refinement with the Canvas Editor can lead to a well-designed and standardized array of characters. These generated characters can be used in comics, animated videos, games, and more, offering visually appealing assets that elevate user engagement and experience. However, capitalizing on Leonardo AI's potential doesn’t end with creating characters and products. Exploring how it can be integrated into various business processes can further amplify its benefits. For instance, designers can use the AI-generated images as a creative starting point, saving them from the laborious task of creating base designs from scratch. In conclusion, Leonardo AI offers businesses a remarkable tool to boost their creative capabilities, broaden their product offerings, and achieve their commercial goals. With a little creativity and exploration, businesses can unlock the vast potential of Leonardo AI and reap significant benefits.

Understanding Leonardo AI Subscription Plans: Benefiting from Extra Tokens and Features

Just like any other feature-rich platform, Leonardo AI utilizes a subscription model to provide access to its extensive range of tools and features. Through various subscription plans, you can utilize extra tokens which elevate the functionality of the platform, providing additional benefits and added flexibility. A fundamental part of Leonardo AI's setup involves a daily token limit and a whimsical coin system. Tokens essentially act as keys to unlock the capabilities of the platform. They determine the number and complexity of images you can generate based on your supplied prompts and chosen models. The more tokens you have at your disposal, the more you can generate and experiment with your creations. Leonardo AI offers different subscription plans tailored to fit the varying needs of its user base. From individual artists playing around with digital art for the first time to creative professionals and commercial enterprises seeking extensive use of the platform, there's a subscription plan designed for everyone. Each subscription plan offers a specific number of tokens and access to certain functionality. Choosing the right plan depends largely on your usage patterns and goals. If you're an occasional user looking to familiarize yourself with AI-generated art, a basic subscription plan could suffice. However, if you're a professional artist or a business aiming to integrate Leonardo AI into your daily workflow, a higher-tier subscription plan offering additional tokens might be a more practical choice. Advantages of choosing a subscription plan are multifold. More tokens mean more freedom to experiment with different prompts and models, thereby broadening your learning curve and overall usage of the app. Higher-tier plans also tend to come with added features or advanced options that can further elevate your Leonardo AI experience. As with any other subscription service, it's important to carefully evaluate each plan, consider your usage patterns and requirements, and adopt a subscription that delivers the greatest value to you. Remember, it's not just about getting more tokens or access to extra features; it's also about ensuring you make the most of the incredible solution that is Leonardo AI. With the right subscription plan in hand, the world of AI-generated digital art awaits your exploration.

Tips and Tricks for Leonardo AI: Maximizing the Tool for Better Outputs

Diving into the world of Leonardo AI is an exciting journey filled with discovery and creativity. But, as with any tool, getting to know the tips and tricks can make your exploration even more rewarding. Following are a few insights that will help you utilize Leonardo AI to its fullest potential. The first tip revolves around the very essence of Leonardo AI, the prompt. Make sure your prompts are clear and descriptive. While it's okay to be abstract or imaginative, providing a little more detail can help the AI generate a more accurate image. For instance, instead of 'cat', you could use 'a blue-eyed cat sitting on a rug'. The more specific your prompt, the more control you have over your output. Another tip relates to using the whole page and leveraging the available props. Use the AI canvas area fully and try different arrangements of objects. The resulting complexity can often lead to more interesting and visually appealing results. Remember, the output is not limited to what is visible on the canvas. You can zoom, pan, or crop to focus on the most compelling part of your image. One of the most impactful tips is to experiment with different models. Each model interprets your prompts differently, leading to varied results. By experimenting with each model, you can learn their strengths and use that knowledge in your creative process. So don't hesitate to test out multiple models and see which one resonates the most with your style. When using the feature of existing images as a reference, it is beneficial to experiment with different strengths of the reference image's influence. Depending on your artistic vision, you might want the reference to serve as a delicate hint or a prominent guide for your output. Adjusting the strength of influence can help you achieve the desired balance. Lastly, make sure to regularly explore the Community Feed. Seeing the creations of other users is not just inspiring, it also allows learning. By exploring the community's outputs, you can pick up tips and gain inspiration for your own creations. You might find certain combinations of prompts and models that you haven’t thought of before. The journey with Leonardo AI is all about learning and growing. For every new experiment, there's a possibility of creating something distinctively captivating. So, unleash your creativity and let Leonardo AI be the tool that opens up new horizons in your artistic adventures.

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[technato]

Video Friday: Robot World Cup, New Co-Bots, and 1000 SpotMinis

Your weekly selection of awesome robot videos

Photo: Tech United Eindhoven

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We’ll also be posting a weekly calendar of upcoming robotics events for the next few months; here’s what we have so far (send us your events!):

RSS 2018 – June 26-30, 2018 – Pittsburgh, Pa., USA

Ubiquitous Robots 2018 – June 27-30, 2018 – Honolulu, Hawaii

MARSS 2018 – July 4-8, 2018 – Nagoya, Japan

AIM 2018 – July 9-12, 2018 – Auckland, New Zealand

ICARM 2018 – July 18-20, 2018 – Singapore

ICMA 2018 – August 5-8, 2018 – Changchun, China

SSRR 2018 – August 6-8, 2018 – Philadelphia, Pa., USA

ISR 2018 – August 24-27, 2018 – Shenyang, China

BioRob 2018 – August 26-29, 2018 – University of Twente, Netherlands

RO-MAN 2018 – August 27-30, 2018 – Nanjing, China

Let us know if you have suggestions for next week, and enjoy today’s videos.

Robot soccer is getting really, really good. RoboCup (which just concluded in Montreal) is basically exactly the same as human World Cup, just with fewer writhing around on the ground and clutching of ankles. Tech United Eindhoven was there competing, and put together these highlight videos:

And here are the semi-final and final matches:

[ Tech United ]

These robot best friends make dumplings! And they have LITTLE CHEF HATS!

[ AIT ]

The new single-arm YuMi is ABB’s most agile and compact collaborative robot yet and can easily integrate into existing production.

[ ABB ]

At Hannover Fair 2018 we introduced the LBR iisy, KUKA’s next collaborative robot that rounds out our collaborative robotics platform. It’s small and lightweight – powerful enough for experts, simple enough for beginners.

[ Kuka ]

Who gets tired of listening to Marc Raibert talk about robots? Nobody, that’s who. This talk is from CEBIT, just this month.

Raibert said Boston Dynamics is testing SpotMini with a variety of potential customers, using the robot as a platform for security, delivery, construction, and home applications. The idea is turning SpotMini into the “Android of Robots.” It will be available starting next year, Raibert said, and so far they’ve built 10 units by hand and are now building 100 with manufacturing partners. By mid 2019, production will ramp up to 1000 units per year.

[ Boston Dynamics ]

Can you name all the robots in this video from Toyota Research Institute?

If you missed the Toyota HSR, that’s okay, so did I.

[ TRI ]

Although quadrotors, and aerial robots in general, are inherently active agents, their perceptual capabilities in literature so far have been mostly passive in nature. Researchers and practitioners today use traditional computer vision algorithms with the aim of building a representation of general applicability: a 3D reconstruction of the scene. Using this representation, planning tasks are constructed and accomplished to allow the quadrotor to demonstrate autonomous behavior. These methods are inefficient as they are not task driven and such methodologies are not utilized by flying insects and birds. Such agents have been solving the problem of navigation and complex control for ages without the need to build a 3D map and are highly task driven.

In this paper, we propose this framework of bio-inspired perceptual design for quadrotors. We use this philosophy to design a minimalist sensori-motor framework for a quadrotor to fly though unknown gaps without a 3D reconstruction of the scene using only a monocular camera and onboard sensing. We successfully evaluate and demonstrate the proposed approach in many real-world experiments with different settings and window shapes, achieving a success rate of 85% at 2.5m/s even with a minimum tolerance of just 5cm. To our knowledge, this is the first paper which addresses the problem of gap detection of an unknown shape and location with a monocular camera and onboard sensing.

[ UMD ]

What if we could control robots more intuitively, using just hand gestures and brainwaves? A new system spearheaded by researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) aims to do exactly that, allowing users to instantly correct robot mistakes with nothing more than brain signals and the flick of a finger.

By monitoring brain activity, the system can detect in real-time if a person notices an error as a robot does a task. Using an interface that measures muscle activity, the person can then make hand gestures to scroll through and select the correct option for the robot to execute.

The team demonstrated the system on a task in which a robot moves a power drill to one of three possible targets on the body of a mock plane. Importantly, they showed that the system works on people it’s never seen before, meaning that organizations could deploy it in real-world settings without needing to train it on users.

[ MIT ]

All aboard for today’s mandatory Cassie video!

Cassie is an efficient, compliant, dynamic bipedal robot. Here in the Dynamic Robotics Lab directed by Prof. Jonathan Hurst we are researching control strategies that exploit the robot’s natural dynamics. The controller here is demonstrating robust blind walking over unperceived disturbances.

[ DRL ]

Robotic materials combines traditional camera-based perception with tactile perception to help robots be more effective at interacting with the world around them.

[ Robotic Materials ]

Thanks Nikolaus!

Mapping and navigation is one of the trickiest parts of doing robot stuff with a robot, but Misty’s got you covered.

[ Misty Robotics ]

I’m almost certain that this is the first robot I’ve ever seen with a built-in watermelon slapper.

A student-lead team designed the agBOT watermelon harvester to help aging farmers. The machine can autonomously identify and harvest ripe watermelons. A passive slapper mechanism thumps the watermelons in a way that is similar to how a person tests one at the supermarket, and an onboard microphone helps agBOT determine whether or not to harvest the watermelon.

[ Virginia Tech ]

In collaboration with DENSO Robotics, and in consultation with Innotech Corporation, Osaro is proud to publicly unveil FoodPick, which performs automated food assembly tasks using deep learning and other AI and robotics techniques.

[ Osaro ]

Musica Automata is a name of an upcoming album by Leonardo Barbadoro, an Italian electronic music producer and electroacoustic music composer from Florence known also under the alias Koolmorf Widesen. The album will include music for robots controlled from a laptop computer.

These robots are more than 50 acoustic instruments (piano, organs, wind instruments, percussions etc) which are part of the Logos Foundation in Gent (Belgium). They receive digital MIDI messages that contain precise informations for their performance.

If you like the sound of this, you can help make it happen on Kickstarter.

[ Kickstarter ]

Thanks Leonardo!

The project Entern is concerned with technologies for the autonomous operation of robots in lunar and planetary exploration missions. It covers the subjects of operations & control, environment modelling and navigation. The goal of the project is to improve the autonomous capabilities of individually acting robots in difficult situations such as craters and caves. On-board simulation is used within the project for this purpose. It allows the robot to improve the assessment of critical situations without external help.

[ Entern ]

Robots become every day more ‘intelligent’. What if robots will be so intelligent to say NO to war? This would be a happier future.

This short robot film is the result of the student project between Sheffield Robotics of the University of Sheffield and the Institute of Arts of Sheffield Hallam University.

[ DiODe ]

On this week’s episode of Robots in Depth, Per interviews Nicola Tomatis from BlueBotics.

Nicola Tomatis talks about his long road into robotics and how BlueBotics handles indoor navigation and integrates it in automated guided vehicles (AGV). Like many, Nicola started out tinkering when he was young, and then got interested in computer science as he wanted to understand it better. Nicola gives us an overview of indoor navigation and its challenges.He shares a number of interesting projects, including professional cleaning and intralogistics in hospitals. We also find out what someone who wants use indoor navigation and AGV should think about.

[ Robots in Depth ]

Video Friday: Robot World Cup, New Co-Bots, and 1000 SpotMinis syndicated from https://jiohowweb.blogspot.com