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Unleashing Your Inner Maker | Daniela Rus | TEDxCambridgeSalon


[Applause]

[Applause] as a kid I love the books of Jules Verne

as a kid I love the books of Jules Verne

as a kid I love the books of Jules Verne and the movies of Jacques Cousteau now

and the movies of Jacques Cousteau now

and the movies of Jacques Cousteau now some years later after I learned how to

some years later after I learned how to

some years later after I learned how to make and make robots and code their

make and make robots and code their

make and make robots and code their brains I met another student who also

brains I met another student who also

brains I met another student who also loved the books of children and the

loved the books of children and the

loved the books of children and the movies of Jacques Cousteau and we

movies of Jacques Cousteau and we

movies of Jacques Cousteau and we decided to make a robot together our

decided to make a robot together our

decided to make a robot together our version of 20,000 Leagues Under the Sea

version of 20,000 Leagues Under the Sea

version of 20,000 Leagues Under the Sea we call this robot amour which stood for

we call this robot amour which stood for

we call this robot amour which stood for autonomous modular optical underwater

autonomous modular optical underwater

autonomous modular optical underwater robot but the Seurat was really about

robot but the Seurat was really about

robot but the Seurat was really about love

love

love I’m more moved beautiful in water like

I’m more moved beautiful in water like

I’m more moved beautiful in water like an underwater helicopter

an underwater helicopter

an underwater helicopter it took beautiful pictures and it could

it took beautiful pictures and it could

it took beautiful pictures and it could transmit video right to your desktop

transmit video right to your desktop

transmit video right to your desktop all of this enabled by some very

all of this enabled by some very

all of this enabled by some very innovative ideas now one hot hot hot

innovative ideas now one hot hot hot

innovative ideas now one hot hot hot summer day off the coast of Singapore we

summer day off the coast of Singapore we

summer day off the coast of Singapore we decided to see just how fast this robot

decided to see just how fast this robot

decided to see just how fast this robot could go we were feeling very confident

could go we were feeling very confident

could go we were feeling very confident that day and we took down several of the

that day and we took down several of the

that day and we took down several of the safety features of this robot to give it

safety features of this robot to give it

safety features of this robot to give it more juice and then after robot went so

more juice and then after robot went so

more juice and then after robot went so I should tell you that it had taken us

I should tell you that it had taken us

I should tell you that it had taken us three years to build this robot and it

three years to build this robot and it

three years to build this robot and it was our only unit so we waited and

was our only unit so we waited and

was our only unit so we waited and waited and waited but amore did not come

waited and waited but amore did not come

waited and waited but amore did not come back we lost amore and we were

back we lost amore and we were

back we lost amore and we were devastated now the thing about science

devastated now the thing about science

devastated now the thing about science is that the first instance of an

is that the first instance of an

is that the first instance of an invention takes a long time to make but

invention takes a long time to make but

invention takes a long time to make but subsequent copies are easier because

subsequent copies are easier because

subsequent copies are easier because they benefit from prior knowledge and it

they benefit from prior knowledge and it

they benefit from prior knowledge and it is also true that great failures teach

is also true that great failures teach

is also true that great failures teach great lessons so we went back to the lab

great lessons so we went back to the lab

great lessons so we went back to the lab we worked hard we wrote some code and

we worked hard we wrote some code and

we worked hard we wrote some code and after 60 days or so we had three copies

after 60 days or so we had three copies

after 60 days or so we had three copies of an improved amore and we took these

of an improved amore and we took these

of an improved amore and we took these robots to the water and as we watch them

robots to the water and as we watch them

robots to the water and as we watch them make flips we started thinking that we

make flips we started thinking that we

make flips we started thinking that we really wanted more

really wanted more

really wanted more and we started wondering what would the

and we started wondering what would the

and we started wondering what would the children of a more looked like stronger

children of a more looked like stronger

children of a more looked like stronger smoother softer well meets our robot

smoother softer well meets our robot

smoother softer well meets our robot fish an underwater robot that can change

fish an underwater robot that can change

fish an underwater robot that can change the swimming direction in 100

the swimming direction in 100

the swimming direction in 100 milliseconds which is on par with real

milliseconds which is on par with real

milliseconds which is on par with real fish this is because these robots are

fish this is because these robots are

fish this is because these robots are fitter are soft and they have dynamic

fitter are soft and they have dynamic

fitter are soft and they have dynamic tails and with fish it is called the

tails and with fish it is called the

tails and with fish it is called the escape maneuver because it allows fish

escape maneuver because it allows fish

escape maneuver because it allows fish to escape from bigger fish who want to

to escape from bigger fish who want to

to escape from bigger fish who want to eat them so we took this robot to the

eat them so we took this robot to the

eat them so we took this robot to the ocean there it is with its one big black

ocean there it is with its one big black

ocean there it is with its one big black eye and there’s me right next to it we

eye and there’s me right next to it we

eye and there’s me right next to it we swam the with the robot we watched it

swam the with the robot we watched it

swam the with the robot we watched it glide elegantly by beautiful coral reefs

glide elegantly by beautiful coral reefs

glide elegantly by beautiful coral reefs it’s all fish beautiful fish with its

it’s all fish beautiful fish with its

it’s all fish beautiful fish with its monocular vision and it even found Nemo

so it took us three years to make a more

so it took us three years to make a more three months to make three copies of a

three months to make three copies of a

three months to make three copies of a more and today we can make the soft

more and today we can make the soft

more and today we can make the soft robot fish in the lab in a few hours

robot fish in the lab in a few hours

robot fish in the lab in a few hours this change of pace may sound familiar

this change of pace may sound familiar

this change of pace may sound familiar to you because just two decades ago

to you because just two decades ago

to you because just two decades ago computation was a task reserved for the

computation was a task reserved for the

computation was a task reserved for the few computers were large and expensive

few computers were large and expensive

few computers were large and expensive and hard to access you really knew you

and hard to access you really knew you

and hard to access you really knew you had to know what to do with them but all

had to know what to do with them but all

had to know what to do with them but all that changed and today everyone computes

that changed and today everyone computes

that changed and today everyone computes because we all have smartphones in fact

because we all have smartphones in fact

because we all have smartphones in fact computation is so normal we don’t even

computation is so normal we don’t even

computation is so normal we don’t even notice how much we depend on it and this

notice how much we depend on it and this

notice how much we depend on it and this raises an interesting question in this

raises an interesting question in this

raises an interesting question in this world so changed by computation that

world so changed by computation that

world so changed by computation that helps us with thinking work what might

helps us with thinking work what might

helps us with thinking work what might it look like with robots that can help

it look like with robots that can help

it look like with robots that can help us with physical work how much more

us with physical work how much more

us with physical work how much more could we our flow to machines autonomous

could we our flow to machines autonomous

could we our flow to machines autonomous driving will absolutely eliminate road

driving will absolutely eliminate road

driving will absolutely eliminate road fatalities it will give our parents

fatalities it will give our parents

fatalities it will give our parents greater independence and quality of life

greater independence and quality of life

greater independence and quality of life in their retirement and it will give all

in their retirement and it will give all

in their retirement and it will give all of us the ability to go anywhere anytime

of us the ability to go anywhere anytime

of us the ability to go anywhere anytime it

it

it is not a matter of if it is a matter of

is not a matter of if it is a matter of

is not a matter of if it is a matter of when imagine heading home from work in

when imagine heading home from work in

when imagine heading home from work in your autonomous car knowing that it has

your autonomous car knowing that it has

your autonomous car knowing that it has the smarts to keep you safe and to make

the smarts to keep you safe and to make

the smarts to keep you safe and to make it fun you stop at the grocery store to

it fun you stop at the grocery store to

it fun you stop at the grocery store to pick up supplies for dinner you hand

pick up supplies for dinner you hand

pick up supplies for dinner you hand your dinner menu to a robot at the door

your dinner menu to a robot at the door

your dinner menu to a robot at the door the robot connects to your home figures

the robot connects to your home figures

the robot connects to your home figures out which items you’re missing and a few

out which items you’re missing and a few

out which items you’re missing and a few minutes later another robot hands you a

minutes later another robot hands you a

minutes later another robot hands you a box you get home you pass the Box to

box you get home you pass the Box to

box you get home you pass the Box to kitchen robot and then you’ll even let

kitchen robot and then you’ll even let

kitchen robot and then you’ll even let your children help with dinner because

your children help with dinner because

your children help with dinner because you know that your vacuum cleaning robot

you know that your vacuum cleaning robot

you know that your vacuum cleaning robot will sweep up their mess now I know what

will sweep up their mess now I know what

will sweep up their mess now I know what you’re thinking you’re thinking that

you’re thinking you’re thinking that

you’re thinking you’re thinking that this sounds like one of those cartoons

this sounds like one of those cartoons

this sounds like one of those cartoons about the future that never comes to

about the future that never comes to

about the future that never comes to pass but in fact the future is really

pass but in fact the future is really

pass but in fact the future is really not that far off today’s robots are

not that far off today’s robots are

not that far off today’s robots are already our partners in domestic and

already our partners in domestic and

already our partners in domestic and industrial settings they work side by

industrial settings they work side by

industrial settings they work side by side with surgeons in operating rooms

side with surgeons in operating rooms

side with surgeons in operating rooms and with workers in factories they mow

and with workers in factories they mow

and with workers in factories they mow our lawns they vacuum clean our floors

our lawns they vacuum clean our floors

our lawns they vacuum clean our floors they even milk our cows and I believe

they even milk our cows and I believe

they even milk our cows and I believe that in a few years they will touch many

that in a few years they will touch many

that in a few years they will touch many more aspects of our lives but to get

more aspects of our lives but to get

more aspects of our lives but to get there we need to solve a challenge today

there we need to solve a challenge today

there we need to solve a challenge today making and using robots is reserved for

making and using robots is reserved for

making and using robots is reserved for the few because it requires expertise

the few because it requires expertise

the few because it requires expertise that most people don’t have and

that most people don’t have and

that most people don’t have and specifically a robot is made of a body

specifically a robot is made of a body

specifically a robot is made of a body and the brain and feel must have the

and the brain and feel must have the

and the brain and feel must have the skills to make the body and coat the

skills to make the body and coat the

skills to make the body and coat the brain while there are tools available to

brain while there are tools available to

brain while there are tools available to help us with coding we don’t have tools

help us with coding we don’t have tools

help us with coding we don’t have tools available to help us with making and

available to help us with making and

available to help us with making and this has to change now for this change

this has to change now for this change

this has to change now for this change we need to do three things we need to

we need to do three things we need to

we need to do three things we need to advance the science of autonomy we need

advance the science of autonomy we need

advance the science of autonomy we need to engineer tools that will help us with

to engineer tools that will help us with

to engineer tools that will help us with making and we need to educate the young

making and we need to educate the young

making and we need to educate the young generation our children our students in

generation our children our students in

generation our children our students in computational thinking and computational

computational thinking and computational

computational thinking and computational making because only because only then

making because only because only then

making because only because only then they will be prepared for a future with

they will be prepared for a future with

they will be prepared for a future with machines integrated into the fabric of

machines integrated into the fabric of

machines integrated into the fabric of life

life

life so let me start with a science in nature

so let me start with a science in nature

so let me start with a science in nature organisms are made out of cells that

organisms are made out of cells that

organisms are made out of cells that combine to make say a snake or an ant

combine to make say a snake or an ant

combine to make say a snake or an ant can we imagine creating robotic cells

can we imagine creating robotic cells

can we imagine creating robotic cells that would compose to make different

that would compose to make different

that would compose to make different shape robots the best shapes suited for

shape robots the best shapes suited for

shape robots the best shapes suited for the task at hand maybe a snake robot to

the task at hand maybe a snake robot to

the task at hand maybe a snake robot to cross through a tunnel or a three handed

cross through a tunnel or a three handed

cross through a tunnel or a three handed manipulator for the factory floor

manipulator for the factory floor

manipulator for the factory floor we can even imbue these robots with the

we can even imbue these robots with the

we can even imbue these robots with the ability to make themselves so let’s say

ability to make themselves so let’s say

ability to make themselves so let’s say your robot needs to access something

your robot needs to access something

your robot needs to access something that’s high on a shelf well the robot

that’s high on a shelf well the robot

that’s high on a shelf well the robot could reshuffle the cells to grow a long

could reshuffle the cells to grow a long

could reshuffle the cells to grow a long arm to reach on the shelf so that’s the

arm to reach on the shelf so that’s the

arm to reach on the shelf so that’s the idea when the task changes the box the

idea when the task changes the box the

idea when the task changes the box the body can change – here is a simulation

body can change – here is a simulation

body can change – here is a simulation of a robot we call the dog couch because

of a robot we call the dog couch because

of a robot we call the dog couch because it transforms a dog into a couch and

it transforms a dog into a couch and

it transforms a dog into a couch and what you see here is the computational

what you see here is the computational

what you see here is the computational substrate the algorithms the brain of

substrate the algorithms the brain of

substrate the algorithms the brain of this robot that tells each cell what to

this robot that tells each cell what to

this robot that tells each cell what to do now we know how to code these brains

do now we know how to code these brains

do now we know how to code these brains but we do not know how to make the unit

but we do not know how to make the unit

but we do not know how to make the unit cell at a scale that is comfortable at

cell at a scale that is comfortable at

cell at a scale that is comfortable at the scale that would result in a

the scale that would result in a

the scale that would result in a comfortable thing to sit on are you

comfortable thing to sit on are you

comfortable thing to sit on are you asking yourselves why would we need a

asking yourselves why would we need a

asking yourselves why would we need a dog couch ok this is my daughter Jackie

dog couch ok this is my daughter Jackie

dog couch ok this is my daughter Jackie when she was five she told me when I

when she was five she told me when I

when she was five she told me when I can’t sleep at night I sit around and

can’t sleep at night I sit around and

can’t sleep at night I sit around and wish that I could pull toys in and out

wish that I could pull toys in and out

wish that I could pull toys in and out of the walls

of the walls

of the walls or even better cookies well if we had

or even better cookies well if we had

or even better cookies well if we had the dog couch we would have the tools to

the dog couch we would have the tools to

the dog couch we would have the tools to make Jackie her wall and actually I have

make Jackie her wall and actually I have

make Jackie her wall and actually I have worked with hundreds of children the

worked with hundreds of children the

worked with hundreds of children the thing I love about them is that there

thing I love about them is that there

thing I love about them is that there are no rules that limits their

are no rules that limits their

are no rules that limits their imagination now what if I told you that

imagination now what if I told you that

imagination now what if I told you that in the future I could hand you a bag

in the future I could hand you a bag

in the future I could hand you a bag that has any tool you want in it so in

that has any tool you want in it so in

that has any tool you want in it so in this conceptualization I have a bag of

this conceptualization I have a bag of

this conceptualization I have a bag of smarts name that will make a copy of a

smarts name that will make a copy of a

smarts name that will make a copy of a range for you and when you’re done with

range for you and when you’re done with

range for you and when you’re done with it you could return the wrench back to

it you could return the wrench back to

it you could return the wrench back to the bag and the particles could be

the bag and the particles could be

the bag and the particles could be reused for a different task today we do

reused for a different task today we do

reused for a different task today we do not have robot

not have robot

not have robot particles that can create the dark ouch

particles that can create the dark ouch

particles that can create the dark ouch but even at the larger scale that we

but even at the larger scale that we

but even at the larger scale that we have today we can do some interesting

have today we can do some interesting

have today we can do some interesting things for instance we can make

things for instance we can make

things for instance we can make self-configuring trusses and support

self-configuring trusses and support

self-configuring trusses and support beams and this is an example using our

beams and this is an example using our

beams and this is an example using our robot called M block which is about a 2

robot called M block which is about a 2

robot called M block which is about a 2 by 2 cube that moves by pivoting and the

by 2 cube that moves by pivoting and the

by 2 cube that moves by pivoting and the secret behind movement is a flywheel

secret behind movement is a flywheel

secret behind movement is a flywheel inside the robot that spins very fast

inside the robot that spins very fast

inside the robot that spins very fast and then there is a braking mechanism

and then there is a braking mechanism

and then there is a braking mechanism that suddenly stops the motion and the

that suddenly stops the motion and the

that suddenly stops the motion and the momentum propels the cube forward we

momentum propels the cube forward we

momentum propels the cube forward we call it M blocks because when we watch

call it M blocks because when we watch

call it M blocks because when we watch these robots it seems to us that they

these robots it seems to us that they

these robots it seems to us that they move as though by magic since there are

move as though by magic since there are

move as though by magic since there are no external moving parts now to get from

no external moving parts now to get from

no external moving parts now to get from M blocks which is where we are today to

M blocks which is where we are today to

M blocks which is where we are today to a world where we can have comfortable

a world where we can have comfortable

a world where we can have comfortable dog couches we have to make these

dog couches we have to make these

dog couches we have to make these modules smaller and software we have to

modules smaller and software we have to

modules smaller and software we have to bring machines and materials closer

bring machines and materials closer

bring machines and materials closer together we have to advance the science

together we have to advance the science

together we have to advance the science of making which we are but while we’re

of making which we are but while we’re

of making which we are but while we’re doing this we are also pursuing an

doing this we are also pursuing an

doing this we are also pursuing an alternative option we are inspired by

alternative option we are inspired by

alternative option we are inspired by engineering to create tools that will

engineering to create tools that will

engineering to create tools that will automate design and also fabrication if

automate design and also fabrication if

automate design and also fabrication if we had tools that would enable anybody

we had tools that would enable anybody

we had tools that would enable anybody to design and fab objects we could have

to design and fab objects we could have

to design and fab objects we could have a world where you can make a robot on

a world where you can make a robot on

a world where you can make a robot on demand for any task so here’s Alice we

demand for any task so here’s Alice we

demand for any task so here’s Alice we would love to automate many tasks in

would love to automate many tasks in

would love to automate many tasks in Alice’s home let’s say Alice wants a

Alice’s home let’s say Alice wants a

Alice’s home let’s say Alice wants a robot to play with her cat so Alice

robot to play with her cat so Alice

robot to play with her cat so Alice could head to a store called 24-hour

could head to a store called 24-hour

could head to a store called 24-hour robot manufacturing where she could

robot manufacturing where she could

robot manufacturing where she could explore the design space using an

explore the design space using an

explore the design space using an intuitive interface when she selects the

intuitive interface when she selects the

intuitive interface when she selects the final design the store prints the robot

final design the store prints the robot

final design the store prints the robot the cost is affordable and the cat has a

the cost is affordable and the cat has a

the cost is affordable and the cat has a playmate when Alice is at work 24 hour

playmate when Alice is at work 24 hour

playmate when Alice is at work 24 hour robot manufacturing does not quite exist

robot manufacturing does not quite exist

robot manufacturing does not quite exist today but it’s coming today the making

today but it’s coming today the making

today but it’s coming today the making tools are lacking if we can automate the

tools are lacking if we can automate the

tools are lacking if we can automate the design and the fabrication of machines

design and the fabrication of machines

design and the fabrication of machines we will get closer to a point where any

we will get closer to a point where any

we will get closer to a point where any one of us could make machines on demand

one of us could make machines on demand

one of us could make machines on demand let’s say Alice might like a robot to

let’s say Alice might like a robot to

let’s say Alice might like a robot to play chess with her what can the state

play chess with her what can the state

play chess with her what can the state of the Arts today do well a program

of the Arts today do well a program

of the Arts today do well a program could look at this requirement and

could look at this requirement and

could look at this requirement and identify what are the behaviors of this

identify what are the behaviors of this

identify what are the behaviors of this robot pick up a piece move it from here

robot pick up a piece move it from here

robot pick up a piece move it from here to there do not bump into other pieces

to there do not bump into other pieces

to there do not bump into other pieces once you have behaviors another program

once you have behaviors another program

once you have behaviors another program could synthesize mechanisms that can

could synthesize mechanisms that can

could synthesize mechanisms that can implement those behaviors generate some

implement those behaviors generate some

implement those behaviors generate some design files assemble the components and

design files assemble the components and

design files assemble the components and here is the robot that plays chess with

here is the robot that plays chess with

here is the robot that plays chess with you now this robot was designed flat and

you now this robot was designed flat and

you now this robot was designed flat and it was folded following the principles

it was folded following the principles

it was folded following the principles of origami this is why we call this

of origami this is why we call this

of origami this is why we call this approach to fabrication origami robots

approach to fabrication origami robots

approach to fabrication origami robots now this particular robot was fabricated

now this particular robot was fabricated

now this particular robot was fabricated manually but we also have tools that

manually but we also have tools that

manually but we also have tools that enable us to create robots that make

enable us to create robots that make

enable us to create robots that make themselves so here’s the robot we call

themselves so here’s the robot we call

themselves so here’s the robot we call the mini bot it starts at a flat as a

the mini bot it starts at a flat as a

the mini bot it starts at a flat as a flat piece of plastic and when you put

flat piece of plastic and when you put

flat piece of plastic and when you put it on a heating pad it grows into a

it on a heating pad it grows into a

it on a heating pad it grows into a full-fledged robot that can run at 4

full-fledged robot that can run at 4

full-fledged robot that can run at 4 body lengths a second it avoids

body lengths a second it avoids

body lengths a second it avoids obstacles it can push things around it

obstacles it can push things around it

obstacles it can push things around it can carry things it can crawl on your

can carry things it can crawl on your

can carry things it can crawl on your body it can even walk on water and when

body it can even walk on water and when

body it can even walk on water and when you’re done with it you can send this

you’re done with it you can send this

you’re done with it you can send this robot to recycling bin where it could

robot to recycling bin where it could

robot to recycling bin where it could dissolve to reuse the components so I

dissolve to reuse the components so I

dissolve to reuse the components so I don’t know if you’re aware but every

don’t know if you’re aware but every

don’t know if you’re aware but every year we generate 50 million tons of

year we generate 50 million tons of

year we generate 50 million tons of waste and electronics are particularly

waste and electronics are particularly

waste and electronics are particularly problematic because they cannot be

problematic because they cannot be

problematic because they cannot be recycled and they are toxic when we

recycled and they are toxic when we

recycled and they are toxic when we deposit them in developing world

deposit them in developing world

deposit them in developing world countries with this approach to making

countries with this approach to making

countries with this approach to making machines we will not generate electronic

machines we will not generate electronic

machines we will not generate electronic waste now we have tools for making these

waste now we have tools for making these

waste now we have tools for making these robots at large scales but even at these

robots at large scales but even at these

robots at large scales but even at these small scales they can do amazing things

small scales they can do amazing things

small scales they can do amazing things to contribute to our lives and one

to contribute to our lives and one

to contribute to our lives and one option we’re investigating is the

option we’re investigating is the

option we’re investigating is the possibility of using these robots as

possibility of using these robots as

possibility of using these robots as many surgeons that you could swallow

many surgeons that you could swallow

many surgeons that you could swallow they could perform some action in

they could perform some action in

they could perform some action in badi a procedure and when they’re done

badi a procedure and when they’re done

badi a procedure and when they’re done with a procedure they could be dissolved

with a procedure they could be dissolved

with a procedure they could be dissolved or eliminated imagine surgery without

or eliminated imagine surgery without

or eliminated imagine surgery without incisions without pain and without the

incisions without pain and without the

incisions without pain and without the risk of infection the particular case

risk of infection the particular case

risk of infection the particular case study were looking at is helping

study were looking at is helping

study were looking at is helping eliminate button batteries that people

eliminate button batteries that people

eliminate button batteries that people accidentally swallow so every year in

accidentally swallow so every year in

accidentally swallow so every year in the United States 3500 people swallow

the United States 3500 people swallow

the United States 3500 people swallow button batteries and this is dangerous

button batteries and this is dangerous

button batteries and this is dangerous because button batteries cause holes in

because button batteries cause holes in

because button batteries cause holes in the tissue in fact very fast within an

the tissue in fact very fast within an

the tissue in fact very fast within an hour so here’s how the mini bot can help

hour so here’s how the mini bot can help

hour so here’s how the mini bot can help you can package it in an ice pill

you can package it in an ice pill

you can package it in an ice pill swallow it when it gets to the stomach

swallow it when it gets to the stomach

swallow it when it gets to the stomach the ice melts the robot deploys and with

the ice melts the robot deploys and with

the ice melts the robot deploys and with the use of a magnet embedded in the

the use of a magnet embedded in the

the use of a magnet embedded in the robot we can pick up the battery and

robot we can pick up the battery and

robot we can pick up the battery and eliminate it through the digestive

eliminate it through the digestive

eliminate it through the digestive system and here is an example of how

system and here is an example of how

system and here is an example of how this would work in an artificial stomach

this would work in an artificial stomach

this would work in an artificial stomach there is our I spill it gets controlled

there is our I spill it gets controlled

there is our I spill it gets controlled with an external magnetic field much

with an external magnetic field much

with an external magnetic field much like an MRI machine it connects to the

like an MRI machine it connects to the

like an MRI machine it connects to the battery it pulls it out and now the

battery it pulls it out and now the

battery it pulls it out and now the battery can be guided out at this point

battery can be guided out at this point

battery can be guided out at this point a second robot could arrive to patch the

a second robot could arrive to patch the

a second robot could arrive to patch the wound and deliver medicine at the

wound and deliver medicine at the

wound and deliver medicine at the location of the wound so these

location of the wound so these

location of the wound so these technologies can really do so many

technologies can really do so many

technologies can really do so many things they can remove foreign objects

things they can remove foreign objects

things they can remove foreign objects they can patch wounds they can deliver

they can patch wounds they can deliver

they can patch wounds they can deliver medicine they can take tissue samples

medicine they can take tissue samples

medicine they can take tissue samples they can give us pictures of what our

they can give us pictures of what our

they can give us pictures of what our the insides of our bodies look like so

the insides of our bodies look like so

the insides of our bodies look like so we are advancing the science and we’re

we are advancing the science and we’re

we are advancing the science and we’re advancing the engineering and these are

advancing the engineering and these are

advancing the engineering and these are allowing us to begin to dream about a

allowing us to begin to dream about a

allowing us to begin to dream about a future where we can make robots for any

future where we can make robots for any

future where we can make robots for any tasks but this requires that we know how

tasks but this requires that we know how

tasks but this requires that we know how to code and how to make and the way I

to code and how to make and the way I

to code and how to make and the way I see it those of us who know how to make

see it those of us who know how to make

see it those of us who know how to make things and then code them have

things and then code them have

things and then code them have superpowers because we can imagine

superpowers because we can imagine

superpowers because we can imagine anything and we can just make it and we

anything and we can just make it and we

anything and we can just make it and we would love to give our children the

would love to give our children the

would love to give our children the ability to have superpowers the ability

ability to have superpowers the ability

ability to have superpowers the ability to turn their in

to turn their in

to turn their in imagination into anything they want so

imagination into anything they want so

imagination into anything they want so to do so we have to teach them

to do so we have to teach them

to do so we have to teach them computational thinking and computational

computational thinking and computational

computational thinking and computational making and this is really important I’m

making and this is really important I’m

making and this is really important I’m not sure you’re aware but right now in

not sure you’re aware but right now in

not sure you’re aware but right now in our country 6,000 students drop out of

our country 6,000 students drop out of

our country 6,000 students drop out of school every day it’s really a serious

school every day it’s really a serious

school every day it’s really a serious problem and to address it we could make

problem and to address it we could make

problem and to address it we could make education more interesting and more

education more interesting and more

education more interesting and more active more engaged robots are magnetic

active more engaged robots are magnetic

active more engaged robots are magnetic to children in fact children love robots

to children in fact children love robots

to children in fact children love robots because they get empowered at a time

because they get empowered at a time

because they get empowered at a time when they feel that the whole rest of

when they feel that the whole rest of

when they feel that the whole rest of the world controls them so to help with

the world controls them so to help with

the world controls them so to help with this vision of robots for education we

this vision of robots for education we

this vision of robots for education we have created a new education platform we

have created a new education platform we

have created a new education platform we call the robot garden this platform was

call the robot garden this platform was

call the robot garden this platform was created with the same tools we use to

created with the same tools we use to

created with the same tools we use to make origami robots and this garden has

make origami robots and this garden has

make origami robots and this garden has hundreds of robot flowers robots sheep

hundreds of robot flowers robots sheep

hundreds of robot flowers robots sheep and even robot ducks in it children

and even robot ducks in it children

and even robot ducks in it children learn making by building the garden and

learn making by building the garden and

learn making by building the garden and the garden can also be used to teach

the garden can also be used to teach

the garden can also be used to teach computational thinking and here’s an

computational thinking and here’s an

computational thinking and here’s an example where the garden teaches a

example where the garden teaches a

example where the garden teaches a particular type of algorithm called

particular type of algorithm called

particular type of algorithm called breadth-first search here each robot is

breadth-first search here each robot is

breadth-first search here each robot is the vertex in a graph and the color

the vertex in a graph and the color

the vertex in a graph and the color denotes different stages of this

denotes different stages of this

denotes different stages of this breadth-first search algorithm watching

breadth-first search algorithm watching

breadth-first search algorithm watching the garden is learning the algorithm so

the garden is learning the algorithm so

the garden is learning the algorithm so we are developing the science of

we are developing the science of

we are developing the science of autonomy we’re developing engineering

autonomy we’re developing engineering

autonomy we’re developing engineering tools for coding we’re developing

tools for coding we’re developing

tools for coding we’re developing education tools for children how might

education tools for children how might

education tools for children how might this help us with the future with robots

this help us with the future with robots

this help us with the future with robots well the way I see it today if you can

well the way I see it today if you can

well the way I see it today if you can think it you can write it you can put it

think it you can write it you can put it

think it you can write it you can put it on paper because it is part of literacy

on paper because it is part of literacy

on paper because it is part of literacy now imagine a world where if you can

now imagine a world where if you can

now imagine a world where if you can think it you can make it a world where

think it you can make it a world where

think it you can make it a world where Jackie could build her wall that stores

Jackie could build her wall that stores

Jackie could build her wall that stores toys and another little girl who loves

toys and another little girl who loves

toys and another little girl who loves Jules Verne and Jacques Cousteau could

Jules Verne and Jacques Cousteau could

Jules Verne and Jacques Cousteau could create her own version of

create her own version of

create her own version of the underwater explorer all of us can

the underwater explorer all of us can

the underwater explorer all of us can get superpowers by learning

get superpowers by learning

get superpowers by learning computational thinking and computational

computational thinking and computational

computational thinking and computational making each one of us can use our

making each one of us can use our

making each one of us can use our talents our skills our creativity our

talents our skills our creativity our

talents our skills our creativity our problem-solving skills to dream up new

problem-solving skills to dream up new

problem-solving skills to dream up new machines that can save lives improve

machines that can save lives improve

machines that can save lives improve lives help us go where we cannot

lives help us go where we cannot

lives help us go where we cannot physically go entertain us help us with

physically go entertain us help us with

physically go entertain us help us with physical tasks and so much more and we

physical tasks and so much more and we

physical tasks and so much more and we could even exchange our creations much

could even exchange our creations much

could even exchange our creations much like we exchange computation on the app

like we exchange computation on the app

like we exchange computation on the app store in a future with robots with

store in a future with robots with

store in a future with robots with democratized access to robots the

democratized access to robots the

democratized access to robots the possibilities are endless and that

possibilities are endless and that

possibilities are endless and that future is not that far off and now I

future is not that far off and now I

future is not that far off and now I would like to leave you with a picture

would like to leave you with a picture

would like to leave you with a picture of all the students in my lab who have

of all the students in my lab who have

of all the students in my lab who have the superpowers to create the videos you

the superpowers to create the videos you

the superpowers to create the videos you have seen

have seen

have seen [Applause]

”

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