the future of flying robot

1. PRESENTATION TOPIC
THE FUTURE OF FLYING ROBOT
Course Code : ETE211
Course Teacher : Dr.Md.Humaun Kabir
Assistant professor dept of ETE

2. GROUP MEMBERS
 MD:SHAHADAT HOSSAIN ID:152-19-1763
 K.M.Naimul Islam ID:152-19-1745
 MD:GOLAP HOSEN ID:152-19-1788
 MD:SHAFIUR RAHMAN ID:152-19-1748

3. In his lab, they build autonomous aerial robots like the one you see
flying here. Unlike the commercially available drones that you can buy
today. . This robot uses onboard sensors, cameras and laser scanners, to
scan the environment.

4. So this robot uses a Samsung Galaxy smartphone that you can buy off
the shelf, and all you need is an app that you can download from his app
store.

5. you see here. this robot is now traveling at two to three meters per second,
pitching and rolling aggressively as it changes direction. The main point is
they can have smaller robots that can go faster and then travel in these very
unstructured environments. you can see this robot reading the letters,
"TED" in this case, looking at the corners of the "T" and the "E" and then
triangulating off of that, flying autonomously.

6. just like you see this bird, an eagle, gracefully coordinating its wings, its eyes
and feet to grab prey out of the water, his robot can go fishing, too.

7. In this case, this is a Philly cheesesteak hoagie that it's grabbing out of thin
air. So you can see this robot going at about three meters per second,
which is faster than walking speed, coordinating its arms, its claws and its
flight with split-second timing to achieve this maneuver. In another
experiment, they want to show you how the robot adapts its flight to
control its suspended payload, whose length is actually larger than the
width of the window. So in order to accomplish this, it actually has to pitch
and adjust the altitude and swing the payload through.

8. they're inspired in particular by honeybees. So if you look at honeybees,
and this is a slowed down video, they're so small, the inertia is so
lightweight --

9. So just like these honeybees, they build small robots. And this particular
one is only 25 grams in weight. It consumes only six watts of power. And it
can travel up to six meters per second. So if I normalize that to its size, it's
like a Boeing 787 traveling ten times the speed of sound. In his lab, as they
developed these robots, we start off with these big robots and then now
they're down to these small robots. And if you plot a histogram of the
number of Band-Aids we've ordered in the past, that sort of tailed off now.
Because these robots are really safe.

10. The basic idea is they aggregate to form large groups, or swarms. So,
similarly, in his lab, they try to create artificial robot swarms. And this is
quite challenging because now you have to think about networks of robots.
And within each robot, you have to think about the interplay of sensing,
communication, computation The first idea is that robots need to be aware
of their neighbors. They need to be able to sense and communicate with
their neighbors.

11. .
they have four robots -- one of the robots has actually been hijacked by a
human operator, literally. But because the robots interact with each other,
they sense their neighbors, they essentially follow. And here there's a single
person able to lead this network of followers. So again, it's not because all
the robots know where they're supposed to go. It's because they're just
reacting to the positions of their neighbors.

12. you'll see the cameras that are being used on this robot. On the top-left is
essentially a standard color camera. On the left-center is an infrared camera.
And on the bottom-left is a thermal camera. And on the main panel, you're
seeing a three-dimensional reconstruction of every tree in the orchard as
the sensors fly right past the trees. Armed with information like this, they
can do several things.The first and possibly the most important thing we
can do is very simple: count the number of fruits on every tree. By doing
this, you tell the farmer how many fruits she has in every tree and allow her
to estimate the yield in the orchard, optimizing the production chain
downstream..

13. this is an orange tree -- which is essentially seen by yellowing of leaves. But
robots flying overhead can easily spot this autonomously and then report to
the farmer that he or she has a problem in this section of the orchard.
Systems like this can really help, and we're projecting yields that can
improve by about ten percent and, more importantly, decrease the amount
of inputs such as water by 25 percent by using aerial robot swarms.