Thursday, March 1st, 2012 at 12:00 pm ET.

This webinar introduces new techniques and case studies for efficiently increasing the fidelity of system models for multibody robotic system design. 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.


Paul Goossens, VP of Application Engineering, Maplesoft:
Paul Goossens directs the Applications Engineering Group that supports Maplesoft's new line of engineering modeling products. A mechanical engineer by background, Paul has over 20 years of experience in both engineering and software business management. Past positions included senior management positions for companies in engineering modeling solutions and high-performance real-time simulations.
Dr. Amir Khajepour, President AEMK Systems, Professor, Mechanical and Mechatronic 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.