08 Ultrasonic Radar Refresher
by Dan Harres
So far, we’ve covered the basics of piezoelectric transducers,
the transmitter electronics for driving the transducers, and
the improved focusing of that ultrasonic energy into and out
of the transducer using parabolic antennas.
The original intent was for this to be the final article
in the Ultrasonic Radar series. In addition to covering the
receiver and microcontroller for the project, it was to go into
detail about how to create a two-dimensional radar that
computes not only range but the bearing (that is, direction).
However, the two-dimensional radar topic really needs to be
an article by itself, so that will be covered next time.
30 Unified Robotics: Bringing
by Holden Berry
Every two years, the Special Olympics brings together people
with intellectual disabilities from around the world who
have trained year-round to help transform lives by showing
the pure joy, competitiveness, and emotion sports bring.
This year, however, the Special Olympics featured a unique
event. It’s not soccer; it’s not rowing. It’s a nontraditional
sport that for many years, people with intellectual disabilities
were left out of: Robotics. They are often overlooked when
it comes to STEM learning, but thanks to Unified Robotics,
that is all changing.
36 iRobot Create2 + Raspberry Pi
by Christopher Cantrell
An iRobot Create robot base with a Raspberry Pi brain makes
the perfect robotics learning platform. I’ll show you how to
get started with your own PiCreate and how I use it in the
classroom and at STEM outreach events.
42 The ROBOEAR
by Brian Beard
When I started the ROBOEAR project, I was thinking about
the sensors robots use and how they compared with human
senses. I decided to see if I could design a simple system
that would detect the direction a sound came from. How
difficult could it be? As it turns out, it’s not that easy, and
I handicapped myself by using an eight-bit microcontroller.
Despite that, the ROBOEAR system works surprisingly well
and can also function as the data acquisition front-end for a
more powerful processor.
50 A Self-Guiding Robot Build
Using ROS and a Single-Board
by Wyatt Leigh Gilmore
Building autonomous machines has come a long way in the
past decade thanks to smaller form factors and improved
power-to-performance ratios, making them more easily
accessible. With simple Linux scripting skills, one can build
most any design by utilizing an open source software stack
called Robot Operating System (ROS). In this article, we’ll
look at an example robot application which uses a Roomba
as a platform and a single-board computer (SBC) as a
58 The Biggest and Smallest 555
You’ll Ever See!
by David Goodsell
My intent for this article was to introduce the GIGANTOR
555 Boe-Bot Shield that I designed to use with Parallax’s
famous educational robot. I also wanted to briefly show you
some of the interesting structures in a bipolar 555.
64 Controlling Robots Over the
by John Blankenship
Internet communication is much easier than you might
imagine, and once you know how, controlling a robot from
a remote location requires little effort.
68 Putting BattleBots in Double
Twin Tweaks: Twin brothers hack whatever’s put
in front of them, then tell you about it.
by Bryce and Evan Woolley
The secret is out, the slug is out of the barrel, and attorney-client privilege has been waived. The “punkin chunker” that
has made frequent appearances in Twin Tweaks over the last
few years was, in fact, the prototype for our BattleBots™
contender, Double Jeopardy. Here’s the story of how it all
74 A Robot in Every Home
Then & Now: Advances in robotics from the past
up through today.
by Tom Carroll
Ever since Isaac Asimov’s 1940 short story, Robbie, about
a babysitter robot, we have desired to have a human-sized
robot to do all sorts of tasks for us. That day will soon be
81 Improve Your Workflow with
these Five Bots
Appetizer: Guest-hosted column with different
perspectives and opinions on all things robotic.
by Donna Howard
While AI is getting more advanced each day and we get
closer to deep learning applications, machine learning apps
are becoming integrated more and more into our everyday
lives. From Google Home to Amazon’s Alexa, we are
surrounded by machines that are constantly evolving. So,
how do we use smart software to be more productive?
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