CV (ascii)
Michael Erdmann
Professor of
Computer Science
and
Robotics,
School of Computer Science, Carnegie Mellon University.
Co-Director,
Manipulation Laboratory.
Recent Paper on Strategy Complexes
In June 2003, a sizeable group of Topologists and Roboticists gathered at ETH in Zurich, Switzerland for a collaborative workshop. The goal of the workshop was to explore robotic motions using newly discovered topological perspectives and to build the foundations of a long-term research agenda. A brief writeup appeared in Science. Here are some pictures I took of the attendees.
In July 2006, a similar group of Topologists and Roboticists again gathered at ETH in Zurich. I did not take any pictures this time, but here is a list of the talks.
Since August 2006, my research has been part of a multi-year multi-institutional effort involving topologists and roboticists working on a variety of problems at the interface of algebraic topology and autonomous systems. This research effort, called SToMP (Sensor Topology and Minimal Planning), is led by Robert Ghrist.
I was inspired to join SToMP in part by Steve LaValle's foundational research.
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Line Weavings for the
Astral 40 set of representative proteins Structural Comparisons for a basis set of proteins |
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Proteins, Knots, and Line Weavings
Algorithms for comparing protein structures using geometric convolution and line weavings.
An early
version (without line weavings) of this report appeared at
RECOMB 2004.
A
revised version (with line weavings and similarity trials)
appeared in the
Journal of Computational Biology.
(Clarification/Erratum: In Section 6.2.3 of the paper we defined the
"L2 measure" using a sum of integrals, each measuring a squared error
between two lines. Our code inadvertently computed the sum of
the square roots of these integrals. Thus the dimensions of the "L2"
values reported are actually square-root-Angstroms not Angstroms.)
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Algorithmic Foundations of Robotics VI Michael Erdmann, David Hsu, Mark Overmars, Frank van der Stappen |
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IJRR Editorial Board | Paper Submissions |
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Success is the ability to go from failure to failure
without losing your enthusiasm.
--- Winston Churchill (1874-1965)
sic transit gloria mundi