NASA Tech Briefs webinar recording, IEEE robotics webinar

Newsletter for November 2010

NASA Tech Briefs Webinar Recording Now Available! Efficiently Modeling High-Fidelity Models for Aerospace Mechatronics Applications

This webinar focuses on new modeling techniques and tools for rapidly creating high-fidelity plant models for advanced applications in areas such as space robotics, UA, flight control, and simulators. The techniques are founded on the use of symbolic computation techniques as a framework for efficient model equation formulation and model optimization. Using the new system MapleSim (derived from the Maple symbolic computation system), you will see how you can very quickly develop complex multibody and multi-domain plant models and produce realtime code and s-functions. The result is a dramatic decrease in the time to develop the model, without sacrificing fidelity or realtime performance. This webinar consists of two parts:

  1. Introduction to fundamental symbolic techniques to model formulation. How to create efficient multibody plant models, generate realtime code, and perform complex analysis such as inverse kinematic equation derivation.

  2. Case studies including ongoing Mars rover research.

Watch a recording of this webinar here.


IEEE Webinar: Highly Efficient Models of Multibody Systems for HIL Simulation of Robotic Systems

Thursday, Jan 27, 2011, 2:00 PM ET

This webinar presents techniques and applications for rapidly developing computationally optimized models for HIL simulation of high-fidelity physical plant models. Using symbolic computation techniques, multibody models can be effectively preprocessed to select optimal coordinate frames, eliminate redundant calculations, simplify algebraic constraints, and generate computationally minimal code for real-time deployment. Furthermore, novel mathematical techniques can be deployed for efficient parameter optimization and other advanced analysis. Applications in robotics, including space and industrial robotics will be presented. The symbolic computation system Maple and the related modeling system MapleSim will be used to illustrate examples. This webinar consists oftwo parts:

Part I:
General survey of techniques and applications of symbolic computation
techniques in robotics.
Part II:
Applications in space and industrial robotics.


Dr. Amir Khajepour, President AEMK Systems, Professor, Mechanical Engineering, University of Waterloo, and Canada Research Chair in Mechatronic Vehicle Systems: Dr. Khajepour is an authority in mechatronics and robotics. His research includes modeling and development of advanced systems for the automotive, space, and manufacturing industries.
Dr. Tom Lee, Vice President Applications Engineering and Chief Evangelist, Maplesoft: Dr. Lee is the principal technology spokesperson for Maplesoft, an emerging leader in advanced engineering modeling and simulation. As Vice President of Applications Engineering, Dr. Lee directs the principal engineering engagements for Maplesoft, including custom model development, consulting, and training, with key customers and partners. Dr. Lee holds a Ph.D. in automation and control and has been a leading influence in the development of new modeling tools for physical modeling and symbolic

To register for this webinar, click here.


MapleSim Used to Create High Fidelity Physical Models of Hybrid and Electric Vehicle Batteries

In recent years, the demand for hybrid-electric and fully electric vehicles has increased enormously. The development of such vehicles is a significantly more complex task than designing conventional cars because they incorporate many different engineering domains into a single system. At the same time, competitive pressures are forcing auto manufacturers to come up with new designs faster than ever before. The industry is turning to math-based physical modeling techniques which allow engineers to accurately describe the behavior of the components that comprise the system and the physical constraints on the system. 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.

Read the entire user story here.



Maplesoft Blog Posts
Find out what's happening at the heart of Maplesoft, and provide your comments and feedback to the Maplesoft experts.
More on the Lottery: Numerology and Randomness
John May
You could look at the Lottery draws as a generator for a binary sequence as I did in my previous post, but as Robert Israel pointed out in the comments, that encoding can hide some non-random behavior (e.g. if the number 25 appeared in every draw, that encoding would not appear less random).. Read More>>
To see all Maplesoft blog posts, click here.


Application Center Highlights
HVAC Model with Physical Components and Digital Pulse
Author: Maplesoft

Demonstrates the cooling of a room by a nonlinear valve which regulates ambient air flow. The model is highly event-driven due to the digital pulse generator used in the controller.


User Friendly Maple Tools for Preliminary Cryptanalysis
Prof. Czeslaw Koscielny

In this application the easy to use tool has been presented. The user can generate histograms, visualizing the main statistical properties of a selected disk file, by means of the mouse only.


Maplesoft In The Press

Here are some highlights of this past month press coverage.

Maple 14
Scientifc Computing , November 16, 2010

Extract: "The speed of all most computations has been increased by more efficient algorithms. The new Maple Cloud Document Exchange facilitates the creation, distribution and exchange of documents with colleagues. Of course all of our old friends such as the TA’s, Tutor’s, Help Database and extensive mathematical algorithms are still there, as are the very useful palettes. The many application briefs and add-ons available on-line complete a very nice package for the student, engineer or industrial mathematician."
MapleSim 4.5 Offers Modelica Import Capabilities
Desktop Engineering , November 7, 2010

Extract: “’With the expanded support for Modelica in MapleSim 4.5, and its increased capacity for modeling continuous systems with discrete events, engineers and researchers can apply MapleSim’s time-saving techniques to even more of their design problems while educators can introduce students to an even wider variety of realistic examples,’ says Laurent Bernardin, chief scientist and executive vice president of Research and Development at Maplesoft.  ‘MapleSim helps engineers deal effectively with the increasingly complex designs found in advanced engineering projects and helps students prepare to meet these challenges.’”
Share Data Over More Platforms
Design World, November 4 , 2010

“Maplesoft released its newest version of the Maple Grid Computing Toolbox that facilitates distributed computing using Maple software. Using the product, you can run Maple computations in parallel, taking advantage of all the hardware resources available. This can help reduce processing time and enable applications that were not possible in the past.”

In addition to these articles, check out the Media Center for all the latest coverage on Maplesoft.

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MapleSim 4
Maple 14

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