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    Home : Media : Media Coverage : Article List : Current

Current Media Coverage

Modeling the System
January 24, 2013
Desktop Engineering
“Soaring product complexities across many industries, including automotive (electric and hybrid vehicles), aerospace (unmanned aerial vehicles), and energy (smart grids, green power), are putting a tremendous strain on the engineering toolchain. As a result, system-level modeling stands out as an increasingly important approach to engineering design…Modelica seems to be emerging as the standard for describing system-level models.”
Simulation lifts design exercise to a higher level
January 24, 2013
Design Products and Applications
“A Norwegian university research project is using computer models to predict the performance of complex offshore materials handling equipment. In the short term, the work is helping designers pick the best components for the job; ultimately, the aim is to automate more of the design process. For this work, it is using the MapleSim simulation application from Maplesoft.”
MapleSim helps with walking, talking robot
December 28, 2012
Scientific Computing World
“A walking robot will not only take RoboThespian’s performance as an entertainer and educator to the next level, but the robot prototype will also be used as an advanced research platform that explores verbal and non-verbal communication, human-robot social interaction, object tracking and recognition, and many other areas.”
MapleSim 6
December 28, 2012
Scientific Computing World
“MapleSim has a connector for Modelica's FMI (Functional Mockup Interface), allowing models from MapleSim to be reused by other FMI-aware components, and an enhanced ability to use Modelica functions and libraries…Multibody extensions simplify and streamline many tasks and the new to/from signal blocks are a delight whose value becomes increasingly obvious in dimensionally complex models.”
Battery design innovation: it's all about mathematics
December 28, 2012
Electronic Product News
“The industry is turning increasingly to math-based modeling techniques which allow engineers to accurately describe the behaviour of the system, and the constraints on the system, in physical terms. These model equations are then used to develop, test, and refine designs very quickly, and without the expense and time required to build physical prototypes.”
La Simulation 1D dopée á la 3D
December 28, 2012
CAD Magazine
In an article about 1D modeling, this French magazine discusses MapleSim and its benefits. Louis Raymond is quoted and MapleSim gets a prominent position.
Powering the future
December 28, 2012
Scientific Computing World
“Each group within the design process has their own special tools, but very few of these tools have the ability to incorporate various domains and get a true handle on what the overall behavior of the system will be. The software solutions available from Maplesoft bring together all of these various domains to enable users to get a broad-system level view, facilitation the optimization process.”
Life-Sized, Programmable Humanoid Robot Talks, Sings, Acts
December 14, 2012
Product Design and Development
Maplesoft announced the use of MapleSim in the development of RoboThespian robots. (see time stamp 2:35 on the video for the RoboThespian story)
Maplesoft's Modeling and Simulation Tool MapleSim Aids in the Design of RoboThespian Robot that Walks and Talks
December 14, 2012
Robotics Tomorrow
“The design engineers at Engineered Arts are currently using MapleSim to design a biologically analogous humanoid robot leg integrating a novel actuator, studying its static and dynamic stability, and building the designed leg to determine strategies for its control. The design is analogous to the human musculoskeletal system. Unlike conventional robots actuated by electric motors, it is characterized by high non-linearity and by humanlike compliance.”
Multiple controllers add to the complexity of electric vehicle design
November 30, 2012
Vehicle Electrification
“There is more to this than simply saving time and money: by developing sufficiently high-fidelity models of their systems, the question is evolving from “Will it work?” to “How can we make it work better?” By applying rigorous analysis and optimization techniques, engineers can determine design parameters that will improve the system’s performance and efficiency before the first prototype is built… It is only at this system level that the engineer gains true insight into how all the subsystems and components interact, and what effects a design change in one subsystem can have on another.”
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