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very much indeed for the introduction and thank you for inviting me going to start my presentation with little gain help
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me to find where charlie is in this video it
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it's quite a difficult exercise because in this type of application
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for a few people so we're on the factory floor you can
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find a few people but interaction between robots and humans is pretty limited
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the only interaction usually is if i'm human and does the perimeter of the robot then the the machine stops
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i know in manufacturing enterprises to use a robots which use the same
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work spaces humans which collaborate with humans which are used as a tool
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and we have existing robotics companies which are creating these new products and new companies which of flirting
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and which specialise in this type of collaborative robot or
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we also have a lot of robotics uh applications which uh i'm not in the context of for
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manufacturing and which are closer to us robots which are close to us and further away from us
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the ones which are close to us our system it's robots
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for example surgical robots and those which are further away from us
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um they often i use because it's a place which is too remote for us to go to
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and therefore we prefer to send the robot and to pretend that we are present uh but
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uh we replaced by robots uh uh remotely
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this can be tele present so tele operation applications
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what is common to these different forms of robots is that these robots
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are required to be programmed to much more frequently than robots
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in the automotive industry as i showed you in the video
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so uh how a research group has been looking into the
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way in which these robots are to be programmed and to use
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uh imitation mechanisms to be able to do so
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to teach the robot how to do task in exactly the same way you would teach a human to do the task
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i will show you this in the various examples first of all with
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the collaborative robots let's look first of all what a a robot is
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if we take a human lloyd the robot you can define it technically as a series
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of actually doesn't sensors and the way in which these are connected up but if you
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define it in this way up there are many other things you could define in the same way
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for example an automatic doors also sensor and actuator in the way of looking the two up
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in a way the robots suffers from the fact that in the first context
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we're certainly going to be afraid that the robot might just be replacement
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was in the second context we're probably going to forget the fact that
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once this mechanism
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um mania we use to replace certain
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jobs we can ask ourselves uh questions about
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the the word to robot itself uh often robot uh as george if connotations
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and some uses are going to move on to the code demand
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project which is a a corporation with my colleagues said the burn uh
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university of applied science is with these two people whose names you see
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on the top right of the screen for us uh russia and professor
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oh
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and isn't that the idea is to do cyclical testing the
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approaches centred on the person's we're going to use these technologies
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and they are going to be used for different needs
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we're talking about uh in does different industrial needs a agility
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three different interest only to julie t. productivity inflexible team we're going to intervene on the people who really need these tools
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yeah maybe we have an idea in mind about this
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technology is we observe how these people will use those technologies
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and we'll see whether they can help us to re format these technologies so that they can be even more useful
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so the notion behind this project is one of empowerment to really see the
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um robot is a tool which and people can use
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in the way in which they wish maybe some people will
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use it to very little it but this flexibility also
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has to be provided so that they can evolve over time
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initially the robot will be tested for task which is not really
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important and then the people are testing it will be able to uh
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contributor on a um knowledge to quite this technology i'm
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going to a few words about robots used for assisting people
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here we see a large number of new applications for assistance robots let me give you some examples
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for example robotic and help someone to get out of bed to promote
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that if it's your therapist robot and robot which helps people to make fruit
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bottom left and hear a robot which can help with washing
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okay what simple just have this flexibility aspect but also the personalisation
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aspect in other words each person is going to have different needs
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and of course it's also important to be able to reprogram the machine according to the person
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often it's a tripartite uh uh interaction it's not only
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between the and one person and the robot but maybe
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also the medical staff who have to be able to reprogram the machine so to third party can use it
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no and i there are two projects i would like to
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describe the with regard to this and uh application i dress
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i have two scenarios helping someone to put on the shoe or to put on a jacket
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and behind the person you can see the technological elements
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that you'd need in order to be able to help
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this person the big chunk here is that you have to combine not only a movement but an applied force
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so the person is not constrained by the robot but can move freely
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so you have to have a robot which needs to be flexible most of the time
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and rigid only when you really have to apply certain forced to to a specific task
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another example of like to show you is a project which
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started recently which we would like to develop a robot turn
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to provide personalised assistance to help us and uh stand
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up and sit down if you the model of what happens
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if if you know the person and if you know the robot what has to be done to help this person
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e. your seven and some hypotheses about the a number of points of contact
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uh personalisation involve saying that rather of course joints
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some joints which may be more problematic than others and we
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want to provide assistance which can be adapted to this specific scenario
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one person might uh i'm i'm joint which hurts him or her or uh which does not have enough muscles
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the project is still in its infancy
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the uh i use is a very important we're doing this with our colleagues from the ages of stuff and
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uh institute in slovenia who specialise in studying behaviour
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yeah the buttons when two people collaborate with one another but also with all the
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bile mechanical aspects not what's being able to collect the data with several types of senses
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you know to to understand what type of assistance you need for this
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particular application work or the sun summary of the message i would like to
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country with this presentation is that when you think of
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the word robotics you have to realise that to row row
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robotics is very fast um can be assistance robotics collaborative
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in industry or process prostheses all rehabilitation tools and so on
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uh will uh and with this last slide which shows you the faces of the
00:09:07
people who are behind the projects that i've just described you think if your attention
00:09:18
uh_huh
00:09:21
thank you i think that

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Conference Program

Welcome words
Aurélie Rosemberg, Fondation Dalle Molle
Sept. 11, 2021 · 4 p.m.
Opening
Jean-Pierre Rausis, Président de la Fondation Dalle Molle
Sept. 11, 2021 · 4:15 p.m.
Artificial intelligence and quality of life
H. Bourlard, Idiap Research Institute
Sept. 11, 2021 · 4:30 p.m.
Artificial intelligence to think like humans
Melanie Mitchell, Professor at the Santa Fe Institute
Sept. 11, 2021 · 4:45 p.m.
Towards human-centered robotics
Sylvain Calinon, Research Director at the Idiap Research Institute
Sept. 11, 2021 · 5 p.m.
Supporting sustainable transitions around the world through water technology
Eric Valette, Director of AQUA4D
Sept. 11, 2021 · 5:15 p.m.
Biometric security
Sébastien Marcel, Research Director at the Idiap Research Institute
Sept. 11, 2021 · 5:30 p.m.
Compatibility with humans: AI and the problem of control
Stuart russel, Professor of Computer Science and Smith-Zadeh Professor of Engineering, University of California, Honorary Fellow of Berkeley and Wadham College at Oxford
Sept. 11, 2021 · 5:45 p.m.
Model subjectivity at the heart of consciousness to make robots more human
David Rudrauf, Associate professor at the University of Geneva, Director of the laboratory of the multimodal modeling of Emotion and Feeling
Sept. 11, 2021 · 6 p.m.
Round table
Panel
Sept. 11, 2021 · 6:15 p.m.

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