Course Objective 1 To understand the main types of cognitive robots and their driving requirements Robots That navigate Hallway robots, Field robots, Underwater explorers, stunt air vehicles Engineering and\Immobile robots Intelligent spaces Robust space probes

Multidisciplinary System An mdo value framework Design Optimization(MSDO) Lifecycle cost models Design for Value Value metrics valuation techniques ecture 24 Value-based mdo

L23- Fast Time Domain simulation via decomposition Prof olivier de Weck imulation of lti systems LTI systems are very common in engineering applications and simulating them is of great importance small dynamic urge dynamic

Plan for the Session Basic concepts in probability and statistics Review design of experiments Basics of Robust Design Research topics - Model-based- assessment of RD methods Faster computer-based robust design Robust invention

Computer technologies have been changing the environment of engineering design-enabling MDO Hardware: Advances in processor speed, memory and storage Software: Powerful disciplinary analysis and simulation programs(e.g. Nastran, Fluent...)

Massachusetts Institute of Technology -Prof de Weck and Prot. Wacox Massachusetts Institute of Technology-Prof de Weck and Prof willcox

I. Structural Optimization ll. Integrated Structural Optimization lll. Design Space Optimization Massachusetts Institute of Technology-Dr. Yong Kim

Vehicle Development Research Laboratory Presented at MIT 4/14/04 for 16.888/sd.77J Multidisciplinary System Design Optimization (MSDO) Prof. Olivier de Weck and Prof. Karen Willcox ... Designing Great GM Cars and Trucks!

Massachusetts Institute of Technology-Prof. de Weck and Prof. Willcox Massachusetts Insfitute of Technology-Prof. de Weck and P Dept. of A Mlesd Why Approximation Methods? 0. Mlesd Approximation Methods

arametric Model Structure Representation GM RD Parametric Geometry Changes Parametric animation