Some recent work on diffeomorphisms learning: Accurate recursive learning of uncertain diffeomorphism dynamics.
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Fig. 1. The individual under investigation; a) Pictured here in his natural habitat, but with a very unusual attire. b) As seen by a robot equipped with two cameras (one looking through a mirror). c) As seen by a dynamic vision sensor.
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Fig. 2. Stress and procrastination levels in the last 7 days (updated Thu, 25 Apr 2013 16:16 PST). Stress is measured by the number of flagged messages in the email inbox; procrastination is measured by the median age of those messages (materials and methods).
Andrea Censi
third
fourth
fifth year Ph.D. student
Postdoctoral Scholar in Computing
and Mathematical Sciences
California Institute of Technology
- CV / short bio
/
- Publications
- Research interests: Bootstrapping (low-level sensorimotor learning); perception and planning/control problems in robots and biological agents; estimation/filtering on geometric/algebraic structures.
- Software (
GitHub):
CSM,
PyContracts,
Compmake
and others.
- Misc: FAQ, quotes.
- andrea(at)cds.caltech.edu (PGP key)
- cell phone
- +1 (626) 872-3674 =
+1 (626) U-R-CENSI - office
- Annenberg 320
- address
- 1200 E California Blvd,
MC 107-81 91125 Pasadena, CA.
Short news
- Recent presentation on my work; dissertation.
- Here's the video for the paper I'm presenting at ICRA: (PDF).
2013-04-16 Recent work on diffeomorphism learning
2013-04-16 Localization with dynamic vision sensor
Recent work with the Zurich folks: Low-latency localization by active led markers tracking using a dynamic vision sensor.
Longer news
(
RSS feed)
2013-02-09 Compmake keeps calm and carries on: a fault-tolerant “make” for parallelizable batch Python computations
A few years ago, at a SLAM summer school in Oxford, I attended a talk by Frank Dellaert about a scientist’s “secret weapons”. I believe he was channeling his advisor Herb Simon in saying that every scientist must have a … Continue reading
2012-11-28 Pysnip, a package for running large Python jobs from LaTeX
Pysnip is a small project that I wrote for running Python code from LaTeX. I found this workflow useful for autogenerating tables and reports on the fly, as in Chapter 13 of my dissertation. Pysnip is based on python.sty, which … Continue reading
2012-11-24 New preprint: From Angular Manifolds to the Integer Lattice: Guaranteed Orientation Estimation
This is some recent work on estimation on manifolds, in collaboration with Luca Carlone.
2012-10-01 The Turing test revisited
Here’s a revisitation of the Turing test for our modern times. I wanted to disable the voicemail on my phone, so I used T-Mobile’s tech support chat line. The ordeal took a good half an hour, with minutes passing between … Continue reading
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