Adoption of Digital Twins Set to Accelerate with the Latest Release of Duality's Falcon Platform Powered by Unreal Engine

Digital twin simulation is emerging as a powerful resource for solving complex problems in AI, robotics, and smart system development. It can bring understanding of the physical world to AI models

How Simulation Can Secure Your Robotics Investment

Robotics simulation can be defined as a digital tool used to engineer robotics-based automated production systems. Essentially, robot simulation employs a digital representation to enable dynamic interaction with robot models and machines in a virtual environment.

Bringing Advanced Automation To Automotive Industry

In a recent project for Mercedes-Benz (Daimler AG) RobCo S.W.A.T. used RoboDK software to simulate ABB and Motoman robots working on a range of automotive manufacturing tasks including assembly and painting.

Benefits of Developing a Palletizing Simulation

Building a simulation for a palletizing cell helps the integrator and customer start on the same page. Once rate, product, and pallet information is input into the software, realistic cycle times can be shown for any layout/configuration.

Utilizing MapleSim to Improve Assisted Living Devices

We took biomechanical data from actual human trials and applied them to a robotic model that mimics human movements when transitioning between sitting and standing positions.

How Using the Latest 3D Simulation Software for Vision Guided Robotic Applications Will Save You Time and Money

It is easy to imagine the time saved by using the latest simulation tools to develop vision guided robotic applications.

Altair and Maplesoft Partner to Embed MapleSim Modelica Engine within Model-based System Development Technology

Altair joins the rapidly growing Modelica community for multi-domain simulation

How Sensorimotor Intelligence May Develop

From Institute of Science and Technology Austria: Robotic systems controlled by a neural network spontaneously develop self-organized behaviors. Researchers propose a novel learning rule in PNAS to explain the development of sensorimotor intelligence. It is fascinating to observe a robot exploring its physical possibilities and surroundings, and subsequently developing different self-taught behaviors without any instructions. In their paper (DOI: 10.1073/pnas.1508400112) published on October, 26, 2015 in PNAS (Proceedings of the National Academy of Sciences), Professor Ralf Der from the Max Planck Institute for Mathematics in the Sciences, und Georg Martius, Postdoc and Fellow at the Institute for Science and Technology (IST Austria), demonstrate the emergence of sensorimotor intelligence in robots based on their proposed learning rule... ... To test their hypothesis, the authors use bioinspired robots consisting of a humanoid and a hexapod robot in physically realistic computer simulations. The robots receive sensory input from their bodies but are not given any form of instruction or task. What can then be observed is a rich spectrum of rhythmic behaviors of the robots as they explore various movements. Solely because of the tight coupling of environment, body, and brain (in this case an artificial neural network), the robots can obtain feedback from their situation and adapt quickly. This, together with a simple, learned self-model, allows them to develop a form of sensorimotor intelligence... (full article) (paper) (videos and other materials)

Simulating Clearpath Robots In Maplesim

If your robotics research depends on accurate models, you may want to consider looking at MapleSim® 2015 - a high performance physical modeling and simulation tool developed by Maplesoft™.

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High Performance Servo Drives for localized and distributed control applications from Servo2Go.com

High Performance Servo Drives for localized and distributed control applications from Servo2Go.com

Engineered to drive brushless and brush servomotors in torque, velocity or position mode, Servo2Go.com offers a broad selection of servo drives in a wide range of input voltages and output power levels.

Robotics and Automation - Featured Company

TM Robotics (Americas) Inc

TM Robotics (Americas) Inc

TM Robotics, in partnership with Shibaura Machine, formerly known as Toshiba Machine until 1st April 2020, offers a comprehensive range of industrial robots ideally suited for high-precision assembly, machine loading/unloading and material-handling applications that can be dust proof, clean room, or IP65/67. The company's extensive product line starts with a Cartesian solution available in thousands of combinations from single actuators to four-axis solutions; six-axis solutions that can include precise vision-control; and a complete range of SCARAs from low cost to the industry-leading SCARA with 1200-mm reach that can carry up to 20 kgs. TM Robotics sells and services robots throughout Europe, the Middle East, India, Russia, and Africa, as well as North, Central, and South America, from headquarters in Hertfordshire, England and Elk Grove Village, IL, USA. For more information, visit www.tmrobotics.com or follow us on Twitter, LinkedIn and YouTube.