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™.

Records 1 to 7 of 7

Featured Product

Improve Overall Efficiency with Precision Pallet Systems

Improve Overall Efficiency with Precision Pallet Systems

Dorner's 2200 Series Precision Move Pallet Systems are ideal for assembly automation. With features such as an innovative timing belt conveyor design and industry best pallet transfers, they get your product to the exact location, at the exact time and in the exact position it needs to be. They are now available with new options such as heavy load corner modules with 150 lb. capacity and 180 degree tight transfer corners for compact loops.