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 5 of 5

Featured Product

OCTOPUZ Robot Programming Software

OCTOPUZ Robot Programming Software

Program and simulate ALL your robots with OCTOPUZ offline software. OCTOPUZ specializes in path sensitive robotic applications such as welding, fabrication, edge following (waterjet, deburring, laser cutting), material removal (2D & 3D machining), and pick & place. Easy to learn, it directly supports paths from your favorite CAM system, has a library of over 15 different types of robot brands, can cut path generation by over 50% and is fully customizable to your unique needs. Program and simulate multiple robots simultaneously in any configuration! Responsive technical assistance from OCTOPUZ before, during and after sale via training, support and cell development make OCTOPUZ the software of choice.