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Automating quality inspection lets you increase measurement consistency and maintain high product quality levels. The repeatability of down +/- 0.03 mm (30 micron) of the UR robot arm is perfect for automating quick-precision handling in quality inspection and testing applications.

Try our free online training, our online application builder, or book an on-site demo of a collaborative robot today. Learn how cost-effective, secure and flexible collaborative robots - or cobots - are making automation easier than ever for businesses of all sizes.

Day Of The Robot Online Free

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Here is your chance to master robots from Universal Robots. From easy and intuitive free e-Learning courses to engaging training courses offered both in-class and virtually by Certified Trainers all over the world.

With 75.000 cobots installed worldwide, thousands of companies share our vision of creating a world where people work with robots, unlike robots. That's how we make a difference in our customer's life.

Upon completion, each student should have the necessary skills to understand robot movement and fault recovery, how to work safely in and around the robot cell, teach jobs and modify points, and be able to program typical gripper operation instructions. Primary topics include: Tool setup, jogging coordinates, alarms & errors recovery, path creation, job editing, FSU, I/O instructions. Learn more about this course...

The HC10 w/wo DT Micro Controller w/ Smart Pendant Basic Operators course provides lessons to ensure each student should have the necessary skills to understand robot movement and fault recovery, how to work safely in and around the robot cell, teach jobs and modify points, and be able to program typical gripper operation instructions. Learn more about this course...

This course offers insight to the History of Robotics, Terminology of a typical cell, Safety around Robots, and help in understanding Industrial Robotic Applications. This course also explores the Evolution of robot controllers, typical Coordinate Systems (how to drive the robot), and a Glossary of industrial terms and definitions.

OpenDR is a European research project developing a toolkit for core robotic functionalities based on deep learning. Cyberbotics provides its simulation expertize and demonstrates the deep learning toolkit capabilities on the web.

The growing field of robotics is ripe for career opportunities, so when you learn robotics, you're on the cutting edge of a broadly expanding discipline. You can study for a career developing and building the robots themselves, or you can help write the software that powers the robots and directs them on how to perform their tasks. You may work with the robots that are exploring outer space, or you may help explore the deepest parts of the ocean using robotics. There are career opportunities in research as well, where you could have a hand bringing the next generation of robotic technology to life.

Courses offered on Coursera can help you learn about robotic mobility, self-driving cars, and the ethics of artificial intelligence. You can gain an understanding of robot safety, machine learning, and the fundamental mathematical modeling techniques that are essential in the robotics field.

Our collection is perfect for bot enthusiasts and newbies alike. You can build from a variety of materials, constructing the perfect machine to compete with opponents. Use saw blades, chainsaws, and high-powered rifles to destroy your enemies! Our robot games are the ultimate solution for your droid-bot gaming needs. Play with monsters, metal dogs, and a plethora of other robot shapes. Head into battle and fight with your very own machine today!

Our robot games are easy-to-control and a blast to play. No matter how complicated your creation is, you will be able to control it with ease. Just use your keyboard to steer, move, and jump around with your machine. Launch weapons, shoot guns, and perform tricks with simple keystrokes! In our collection, you can solve puzzles, construct killer machines, and play high-octane action. Start loading up on sheet metal, devise a robot plan, and get ready for the attack of the machines!

Wonder Workshop provides the only coding and robotics solution that includes both virtual and physical robots to enhance the learning experience. With Virtual Dash on screen, schools can choose to buy and maintain fewer robots, while kids get a 1:1 experience. And with the Make Wonder platform, any teacher can put together a standards-aligned coding curriculum, no matter their level of experience.

At Wonder Workshop, our award-winning Dash robot and our suite of age-appropriate apps encourage hands-on play and learning to make creative problem-solving concrete and tangible. Our vision is to inspire kids of all ages by giving them tools to imagine and invent the future. Our annual Wonder League Robotics Competition is a great way for kids to dive even deeper into the world of coding and robotics. See how Dash and our learning platform, Make Wonder, can instill a lifelong love of STEM learning in your child.

Our commitment to customers enables Spot to walk further, climbing higher, and inspecting more assets than any other mobile robot. Get an unprecedented look into our robustness testing, support, and customer learning and development.

Our Robotics Technician certificate program provides a technical education so that you can expand your training in robotics. It gives you practical knowledge and skills you can take to work and apply right away.

The Robotics Certificate program provides a basic foundation of industrial robotics and how they can be used in a plant or manufacturing system. RoboLogix, the simulation software integrated within the program, emulates real-world robotics applications, allowing you to gain robot programming training. It employs the basic principles common to the vast majority of robots currently in use in the automation industry including Cartesian and SCARA designs.

The articles in the scenario begin with the indictment for manslaughter of a programmer who wrote faulty code that caused the death of a robot operator. Slowly, over the course of many articles, students are introduced to factors within the software company that also contributed to the accident. They are shown software development as a social process. It is hoped that students will begin to realize the complexity of the task of building real-world software and to see some of the ethical issues intertwined in that complexity.

A high-throughput and innovative setup has been developed to automate the online integration of single drop microextraction (SDME), liquid chromatography (LC) and high-resolution mass spectrometry (QqToF). SDME and LC were online hyphenated for the first time. SDME was carried out by a lab-made cartesian robot actuating a 100 L syringe, equipped with a three-way solenoid microvalve that allowed the online transference of the enriched extract to the chromatographic system, through a six-port switching valve. The complete method, including the synchronized robot action, valves, and the analytical instruments, was controlled by an Arduino Mega board. The merits of the proposed setup were demonstrated by the triazines determination in coconut water samples. The most relevant extraction parameters, such as drop size, exposure time, stirring effect, salt addition and pH were systematically investigated. Under optimized conditions (60 L drop volume and 10 min extraction time), the LC-UV enrichment factors (EF) and the extraction recoveries (ER) ranged between 15.2-18.4 and 11.4-13.8%, respectively. Using the SDME-LC-MS setup, the linear range, detection limit (S/N = 3) and precision (RSD, n = 6 at 0.25 g L-1 level of concentration) were 0.25-25 g L-1, 0.10 g L-1 and 16.8% for simazine; 0.25-25 g L-1, 0.05 g L-1 and 14.7% for atrazine; and 0.25-25 g L-1, 0.05 g L-1 and 18.5% for propazine, respectively. Although none of the analytes were detected in the evaluated commercial samples, the results indicate that the proposed online SDME-LC setup is a competitive analytical strategy for the determination of target organic compounds in complex matrices.

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I want to do some trajectory tracking on a real robot, and I want to use MPC, so I found this gekko. I can make to simulations of my robot and stuff, but is it possible to use it real-time, as I see it take some time to calculate the optimal solution, and I am not quite sure coding wise how to do it, if you just take the first imput and give it to the real system and then update the state values with the sensor reading, and then use the m.solve() function again, and so on.

We offer coding robots and STEAM (STEM + Art) educational tools that transform the way kids and teens learn, create, and invent through coding, science, engineering, and the arts. Looking to inspire your whole class? Shop our education packs.