Mark Gray has worked in automation for the last 30 years, first involved in machine vision and robotics and finally collaborative robots or cobots. As country manager, Mark was the first person to work for Universal Robots in the UK and has carried out projects with many research institutes such as the Advanced Manufacturing Research Centre (AMRC), The Manufacturing Technology Centre (MTC), the National Robotarium, and Bristol Robotics Lab. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines. In the latest episode of the Robot Talk podcast, Claire chatted to Razanne Abu-Aisheh from the University of Bristol about how people feel about interacting with robot swarms.

Existing literature proposes models for estimating the electrical power of manipulators, yet two primary limitations prevail. First, most models are predominantly tested using traditional industrial robots. Second, these models often lack accuracy. To address these issues, we introduce an open source Matlab-based library designed to automatically generate \ac{ec} models for manipulators. The necessary inputs for the library are Denavit-Hartenberg parameters, link masses, and centers of mass. Additionally, our model is data-driven and requires real operational data, including joint positions, velocities, accelerations, electrical power, and corresponding timestamps. We validated our methodology by testing on four lightweight robots sourced from three distinct manufacturers: Universal Robots, Franka Emika, and Kinova. The model underwent testing, and the results demonstrated an RMSE ranging from 1.42 W to 2.80 W for the training dataset and from 1.45 W to 5.25 W for the testing dataset.

That began to change with the partnership between the shipyard and the university. In the '90s, that relationship got a big boost when the foundation behind the Mærsk shipping company funded the creation of the Mærsk Mc-Kinney Møller Institute (MMMI), a center dedicated to studying autonomous systems. The Lindø shipyard eventually wound down its robotics program, but research continued at the MMMI. Students flocked to the institute to study robotics. And it was there that three researchers had the idea for a more lightweight, flexible, and easy-to-use industrial robot arm. That idea would become a startup called Universal Robots, Odense's first big robotics success story.

Programming a robotic is a complex task, as it demands the user to have a good command of specific programming languages and awareness of the robot's physical constraints. We propose a framework that simplifies robot deployment by allowing direct communication using natural language. It uses large language models (LLM) for prompt processing, workspace understanding, and waypoint generation. It also employs Augmented Reality (AR) to provide visual feedback of the planned outcome. We showcase the effectiveness of our framework with a simple pick-and-place task, which we implement on a real robot. Moreover, we present an early concept of expressive robot behavior and skill generation that can be used to communicate with the user and learn new skills (e.g., object grasping).

The past few years have seen many organizations implement tech-driven changes at a rapid pace. As society becomes more digital, embracing technology and effectively managing new processes is key to the success of almost every business. With rapid workplace transformation evident across industries, whether that's moving to hybrid working or adopting new technologies, what can we expect from 2023? Here are five predictions for the coming year. In recent years we have witnessed the development of many different types of sophisticated technologies.

R.U.R. (Rossum's Universal Robots), by Karel Capek is part of HackerNoon's Book Blog Post series. You can jump to any chapter in this book here. Box candy. 1 Pad and blotter. 1 Letter opener. 1 Cigarette box. 1 Inkwell stand. 1 Practical buzzer (6 buttons). Off L.: 1 Fountain pen (for Busman). 1 Telephone buzzer. 1 Siren whistle. On Table L.C.: 2 Book ends (wooden).

We use state-of-the-art AI plus intuitive UI to eliminate useless paperwork and make the whole world go faster. Help us build amazing machine learning models that scale to terabyte-sized datasets, tens of thousands of simultaneous users, and reliably serve the biggest enterprises and software vendors in the world. We are already processing up to hundreds of documents per minute. But this volume grows exponentially and the scope of our product is only slightly slower. Our final goal is so far ahead that we won't hesitate to re-design everything a couple of times more.

Tesla and Elon Musk are aiming for a new product called "Tesla Bot" to help people in the following areas: Tesla bot is an AI-based, highly complex future product that Elon Musk presented on Tesla AI Day. This product leverages all of the sensory capabilities of Tesla cars, such as cameras and also AI hardware and algorithms currently used in Tesla's Full Self-Driving feature. Similar to other Musk's products, the Tesla bot could also be a revolutionary product. An Android robot is a humanoid robot that is very similar to a human. We already know that Android robots are manufactured and used for research activities.

"Listen Josef," said the Czech playwright Karel Čapek to his brother. "I have an idea for a play." Josef, an artist of some renown, was painting furiously and unimpressed by his brother's intrusion. "What kind of play?" he asked, sharply. Karel set out the plot.

Collaborative robots – or cobots – remain the fastest growing segment of industrial automation, projected to grow at a Compound Annual Growth Rate (CAGR) of 30.37% during 2020–2025. Cobot market pioneer Universal Robots (UR) solidified its frontrunner position today by selling the 50,000th UR cobot, which was purchased by a German manufacturer to enable higher productivity and better employee safety. "The first three cobots are named Elfriede, Günther and Bruno. We will name our new cobot Jürgen to honor the fact that UR's president came here in person to deliver it." "We have worked very hard in the past 15 years to develop an entirely new market segment with a mission to enable especially small- and medium sized companies to automate tasks they thought were too costly or complex," says von Hollen, emphasizing how UR has created a new global distribution network, a new ecosystem of developers, and ultimately a completely new business model.