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Early Interest in automatic devices
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As a child I spent many hours in my
grandfather's chocolate factory. I was fascinated by the automatic
machines with their gears and levers. My best toy was my train
set, where several trains ran autonomously without crashing, controlled
by automatic signals and switches. I tried to build an "electronic
brain" with relays for even more complex control. At the "Garten
Bau Ausstellung IGA"- International Horticulture Exhibition IGA -
1953 I was impressed by a robot with a photo cell to detect people and
to open doors - my first experience with machine vision.
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Build electronic devices
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Later I built almost everything an electronic hobbyist can build:
radios - initially from vacuum tubes, then from early transistors and
integrated circuits. I built analog HI FI amplifiers, digital
counters, and clocks. My masterpiece was a
measuring instrument, consisting
of an oscilloscope, function generators, multi meter, and power
supplies.
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Electronic Vision |
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After reading Eduard
Rheins book "Wunder der Wellen" (Miracle of waves) about the
fascinating story of early television devices I built a Nipkow
disk - a spinning disk with 32 holes in a spiral track, a vacuum
photo cell, amplifier, and a Neon light as a modulated light
source. I was able to transmit crude pictures with 32
lines resolution. During my apprenticeship - mandatory for
studying Physics - at the NDR ( Radio/Tv Station in
Hamburg) I had a closer look at an iconoscope. For my PhD
thesis I used a super orthicon for image capture and electronic
circuits for image processing. Later at Optitec I used a
CCD imager with a very high frame rate. Nowadays CCDs or
CMOS imagers are widespread in digital cameras, webcams, and
cell phones. |
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Computing |
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Human Brain |
The ultimate computer is the
human brain. |
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My main
interest is the human brain. I am trying to understand the
neural system in the cortex, cerebellum, limbic system. My
special interest is the vision system with the "where" and
"what" pathways. Currently I am writing a book to be published at the end of 2007.
I want to learn from Mother Nature and apply the knowledge to
the field of robotics. |
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Robotics
Autonomous robots have to
understand the environment - they have to know "where" is "what".
Vision is computational very intensive. Early academic
research was hampered by slow computers. The famous Stanford cart
(1965) looked at a scene, calculated for 20 minutes, then moved a step.
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Now we have
field programmable gate arrays FPGA with 1000 times the
performance at 1/1000 the cost. Low cost cameras
and high performance computing make smart cameras and
interesting robots possible. At the "Homebrew
Robotics Club" HBRC"
in Silicon Valley I am trying to introduce vision
controlled robots. |
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2005: I presented "3D Vision and Vision Guided
Grasp"
2005 my son and I participated in
Robo Games2005 at the San Francisco University
2006: My team presented "Object Recognition using
Lowe's
SIFT algorithm"
2007: Presentation of
"FPGA
Vision and FPGA Controller Project"
Slideshow
2007:Robo
Games 2007 in San Francisco at Fort Mason
2008: Yuri's Night Moffett
Field Mountain View |
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Hanno Dancebot
2007 my son started
MyDanceBot and I got involved with that project.
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"Help hobbyist build balancing robots" |
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Roboticore
2006 I started Roboticore
together with 3 Silicon Valley Engineers "Building Core technologies for
the Robotic Revolution".
Our first product will be
Visibot, an
autonomous robot with vision capabilities. |
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