Helen Chan Wolf

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Helen Chan Wolf
Helen Chan Wolf with IEEE Shakey Team.jpg
Scientific career
Institutions SRI International
Panoramic Research

Helen Chan Wolf is an artificial intelligence pioneer who worked on facial recognition technology and Shakey the robot, the world's first autonomous robot, at SRI International.

Contents

Career

In the early 1960s, Wolf worked with Charles Bisson and Woody Bledsoe at Panoramic Research to train computers in recognising human faces (so-called automated facial recognition). [1] [2] Early computer programs used humans to coordinate a set of features from images of faces and then a computer for the recognition. [3] These features included things such as the positions the inside and outside corners of eyes and mouth. Operators such as these could process around forty pictures an hour.[ citation needed ]

Wolf joined the Artificial Intelligence group at SRI International (then Stanford Research Institute) in 1966. [4] At the SRI Chan was part of the Application of Intelligent Automata to Reconnaissance project. [4] [5] Here she worked on Shakey the robot, the world's first mobile autonomous robot, which was honoured by an Institute of Electrical and Electronics Engineers Milestone in 2017. [6] [7] Shakey used artificial intelligence, making its own plans, navigating between places and improving through learning. Wolf developed the algorithms that extracted coordinates from images. [6] Before Shakey, there were no efforts to integrate artificial intelligence and robotics into a single moving vehicle. [8]

Selected publications

Her publications include:

Related Research Articles

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Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions. Understanding in this context means the transformation of visual images into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.

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References

  1. Nilsson, Nils J. (2009-10-30). The Quest for Artificial Intelligence. Cambridge University Press. ISBN   978-1-139-64282-8.
  2. "The Future of Facial Recognition and AI in 2019 and Beyond". Archived from the original on 2019-12-30. Retrieved 2019-12-30.
  3. House, Somerset. "The Evolution of Data | Big Bang Data". bigbangdata.somersethouse.org.uk. Retrieved 2019-12-30.
  4. 1 2 "AI Center:: Helen Chan Wolf". www.ai.sri.com. Retrieved 2019-12-30.
  5. "AI Center :: Projects". www.ai.sri.com. Retrieved 2019-12-30.
  6. 1 2 "25 women in robotics you need to know about – 2017 | Robohub" . Retrieved 2019-12-30.
  7. Shakey the Robot: The First Robot to Embody Artificial Intelligence , retrieved 2019-12-30
  8. "Shakey - CHM Revolution". www.computerhistory.org. Retrieved 2019-12-30.