Print PageRobotics & Control Systems
|
"Design for Six Sigma" by Samuel Keene, sponsored by the IEEE Reliability Society Six Sigma improves both product and process quality, eliminating defects using a suite of tools that span: statistical, analytical, and collaborative domains. The six sigma nomenclatures cross over different languages and cultures with improved understanding and exactness. Six Sigma improves our every day processes. The Six Sigma process has been extended to take the initiative in developing better designs that avoid problems rather than having to go back and correct them. This is the Design-for-Six Sigma (DFSS) initiative. It focuses on getting correct requirements, communicating these effectively across the team, examining and managing the design and environment anomalies, and flowing down tolerances from the system level to the component levels (also known as critical parameter management). Recently, the practices within DFSS have been further extended from Hardware Reliability to Software Quality and Reliability, and for that matter, to other aspects of product development including: Portfolio and Marketing Analysis, Technology Research and Development, Product Commercialization, Supply Chain and other support functions. These processes have been shown to deliver products with as few as 3-4 defects per million opportunities, such as seen on space shuttle software or commercial aircraft flights in the US. Ten basic tools are taught that promote better engagement of the customer, in concept development and design, as well as improving the cross-functional perspective of the team. These tools improve the system management aspect of the design and deliver a product that will delight the customer. After completing this course you should be able to develop an understanding of:
Dr. Samuel Keene is a Six Sigma Senior Master Black Belt. He has taught Black Belts and Green Belts, DFSS, mentored Black Belt projects and certified new Black Belts. Sam also has personally executed at least two major cross-functional six sigma projects each year for the past 5 years while supporting Seagate Technology. Sam also led Seagate’s Corporate Master Black Belt Council, comprising MBB’s from Seagate location s around the world. This council promotes world-class practices, develops and organizes tools and procedures, and promotes cross-organizational project facilitation.
IEEE Member Individual Purchase ($69.95--30
day access)
"SLAM, Simultaneous Localization and Mapping" by Henrik Christensen, sponsored by the IEEE Robotics and Automation Society For design of autonomous mobile agents/robots it is necessary that the systems have methods for localization within an environment and also automatic discovery of structure in the environment for localization here termed mapping. In the most general form a robot must be able to localize and perform mapping simultaneously, which is termed the SLAM problem (Simultaneous Localization and Mapping). The present course introduces the general SLAM problem. Initially the problems of localization, mapping and SLAM are introduced and the differences are outlined. The SLAM problem can be addressed using a variety of methods from estimation theory. The choice of method is closely tied to the map representation. An approach based on standard tracking methods is presented. The alternative of using a participle based approach is also presented. One of the simpler forms is use of Topological maps which also is outlined. Finally application of SLAM to in-and out-door applications are shown to give a sense of how the methods can be applied to real-world applications. Finally some of the open problems are presented and pointers to relevant literature are also provided. After completing this course you should be able to develop an understanding of:
Henrik I Christensen is the KUKA Chair of Robotics and a Distinguished Professor at the College of Computing, Georgia Institute of Technology.
IEEE Member Individual Purchase ($69.95--30
day access) |
