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| 00:01 | Hello. I am. And I present you some of the work that |
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| 00:07 | at the medical robotics and imaging laboratory our our work is focused on the |
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| 00:14 | of short wear and hardware and their into assistance in order to perform specific |
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| 00:25 | tasks in particular. We are working two areas extra dramatic robots that they |
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| 00:31 | outside the human body as well as somatic robots. There are tiny little |
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| 00:37 | they go inside the human body and in order to perform specific procedures in |
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| 00:42 | to achieve that we design and build as well as we pursue deep learning |
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| 00:48 | and human to system interfacing via conversion robots for M. R. |
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| 00:58 | Got interventions based on the clear benefits they offer as we see in real |
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| 01:04 | what the robot is doing. And we use the real time collecting data |
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| 01:10 | order to control the device on the , difficult and challenging task. And |
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| 01:27 | is an example of the structure of cyber physical system where the center in |
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| 01:34 | case is the M. R. . Candidates collecting the data in real |
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| 01:37 | and actually may not collect all of needed data because there is no |
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| 01:41 | And then we we process them and upscale them and we use this data |
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| 01:47 | real time in order to guide the system. 1st 2nd convey this information |
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| 01:53 | the humans. So the human can this where the robot goes and what |
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| 01:57 | happening with the anatomies and around And third control also them R. |
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| 02:02 | scanner itself in order to collect the that we need. So it's a |
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| 02:06 | very interesting and quite complex. Um in addition to the computational um the |
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| 02:14 | methods we actually invent and develop through a robotic system. So here is |
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| 02:21 | example of one of the robotic system have built so that we can do |
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| 02:26 | in the scanner instead of having a hydraulics or no. Matics, we |
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| 02:32 | feeling actually the tubing with spheres a way, a special system that enables |
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| 02:38 | not only to use this thing in robot but also in deep sea or |
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| 02:43 | spatial applications. And you can see how we are actually designing a very |
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| 02:51 | and advanced robotic devices to do these . And these things have been designed |
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| 02:56 | students in british science and engineering at University of Houston work that has actually |
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| 03:04 | to numerous appears this and masters over years. But in addition to these |
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| 03:18 | outside the human body, we do pursue robotic systems that have tiny little |
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| 03:23 | little robots that they go inside the body and we can actually drive them |
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| 03:29 | manipulate them and maneuver them inside vessels order to deliver locally locally therapeutic therapeutic |
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| 03:37 | . This is an interesting and very however. However, in order to |
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| 03:43 | practical problems with real time collection of , we also have focused part of |
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| 03:52 | team in developing and investigating deep learning so that we can collect low quality |
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| 04:00 | very fast data and upscaling them to quality we need in order to do |
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| 04:06 | . Okay but above everything it is humans. The human. So we |
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| 04:11 | to immerse the human into these So we end up the last several |
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| 04:17 | moving from the traditional and augmented reality a display to three D. Or |
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| 04:25 | for the holographic using uh and here can see as an example as |
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| 04:31 | R. I. Data are collected real time and they are segmented in |
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| 04:36 | time slide by slide and they are in four D. And then this |
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| 04:41 | are presented to the student who's wearing Holler land in the corridor at the |
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| 04:48 | . G. H. All right are actually building and this individual is |
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| 04:54 | the presented data in order to better the motion of the heart and then |
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| 05:00 | conclusions about the condition of the something that cardiologist wants to know in |
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| 05:06 | time at the same time. In to these very advanced holla holla land |
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| 06:16 | , we are actually developing similar technologies order to use them not with but |
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| 06:23 | very simple um handheld devices let's say as well as your cell phones. |
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| 06:31 | enables you to see the same thing inspo by using your hand held devices |
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| 06:38 | this is among the different components of such cyber physical systems that we work |
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| 06:44 | our group and we are looking for that they are interested to pursue aspects |
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| 06:51 | these cyber physical systems and put them to fruition. Thank you so much |
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| 06:55 | your Attendance will be very happy to you whenever you wish at PGH. |
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| 07:31 | 15, and you can always are to email me directly or find any |
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| 07:36 | of the members of the discussed. you so a |
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