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Angular dynamics of non-spherical particles settling in turbulence
全球变化科学紫荆论坛第315期:Making large volume Landsat data ready to use
Probes of strong gravity: SgrA* and M87*
Why uncertain quantification can be useful in computational electromagnetics?
报告题目:
Putting the Turing into Manufacturing: Automation Science and Recent Developments in Feeding and Fixturing
 报告人:
Prof. Ken Goldberg
Professor of IEOR and EECS, UC Berkeley
Vice-President of Technical Activities  IEEE Robotics 
and Automation Society
报告时间:
2006-10-12 13:45
报告地点:
中央主楼407会议室
主办单位:
自动化系学术委员会
  简介:

Automation includes much more than manufacturing: security, laboratory automation, home utomation, food processing, and almost any repetitive task that can be machine controlled.  I'll review some of these exciting new applications and then focus on manufacturing.

Today, automation for manufacturing is where computer technology was in the early 1960's, a patchwork of ad-hoc solutions lacking a rigorous scientific methodology.

CAD has progressed a long way toward elegant modeling of mechanical parts and behavior.  What
we need is an associated "science" of automation: rigorous abstractions for the required handling, assembly, inspection, and storage of parts.

Over the past decade, researchers have made progress, developing a variety of algorithmic models and results for part feeding and fixturing.  I'll review selected results including a new framework for fixturing deformable parts and new geometric primitives for vibratory bowl feeders, and propose several open problems for future research.

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