Temporal Planning in Space Brian C. Williams 16.412J/6.834J based on \Handling Time: February 23rd, 2004 Constraint-based Interval Planning,\ by David E. Smith Outline Operational Planning for the Mars Exploration Rovers

Foundations of State Estimation PartⅡ Topics: Hidden Markov Models Particle Filters Additional reading: L. R. Rabiner, \ tutorial on hidden Markoy models,\ Proceedings of the IEEE, vol. 77,. 257-286, 1989 Radford M. Neal, 1993. Probabilistic Inference Using Markov Chain Monte

Probabilistic roadmaps Planning in the real world Planning amidst moving obstacles RRT-based planners Conclusions Applicability of Lazy PRM to Spheres

Outline Path Planning in Partially Known Environments. Finding the Shortest Path to the Goal. Alternative Approaches to Path Planning in Partially Known Environments. Continuous Optimal Path Planning

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

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

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

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!

arametric Model Structure Representation GM RD Parametric Geometry Changes Parametric animation

The experience of the 1960s has shown that for military aircraft the cost of the final increment of performance usually is excessive in terms of other characteristics and that the overall system must be optimized, not just performance Ref: Current State of the art of Multidisciplinary design Optimization