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Realizing a Practical Teleportation System
1. Realizing a
Practical Teleportation System
Using the Intelligent Parts
Takashi Yamanoue+, Member, IEEE, Yasuhiro Tsutsui*,
Takao Tsutsui*
+ Kyushu Institute of Technology
* University of Occupational Environment and
Health, Japan
2. Contents
I. Introduction
II. Outline of the teleportation system
III. Intelligent Parts
used for the teleportation system
IV. Computer Simulation
V. Application to a 3D Modeling and
a Self Reproduction
VI. Related Works
VII. Concluding Remarks
3. I. Introduction
Teleportaion = a kind of transportation.
– Sends an object to a remote place.
– In a short time.
– Without using physical transportation
system.
Examples:
– FAX
– TV
4. Teleportation is
One of our dream. It may
– Save Time, Save Money
– Send an object to Space Stations, a Deep
Sea, or an Isolated place easily.
• more development of scientific and technical
advance at the remote place
We want to send functional machines, such
as toys, robots, vehicles, …
5. II. Outline of Our Teleportation system
A teleportation
1. Extracts all Information from an object,
2. Sends the Information to a remote place,
3. Constructs the Identical Object at the
remote place,
• using the information and materials at that
place.
6. 1. Extracting the information
Previous methods:
– 3D digitizers
(stereo camera, laser digitizer, …)
• Only surface
– CT, MRI … can get the inside
information but
• Difficult to get the functional
information
7. Our approach:
– The object is made of the intelligent parts.
(restriction)
– Self recognition of the whole object by
intelligent parts
– Entire information of the object (its outside
structure, its inside structure, its function, its state,
…) can be extracted.
8. 2. Sending the Information
We already have High speed
computer networks
3. Constructing the Identical Object
We already have industrial robots now.
9. parts
Source Object
network
probe
receiver
transmitter
Received (teleported) object
Outline of our teleportation
10. III. Intelligent Parts
used for the teleportation system
Two kinds of prototypes of the intelligent parts
I. cubical type II. square-pie type
13. Self-recognition mechanism of the
object
Use a Syntactic Analysis
The probe is the start symbol S. S →G(l,m).
A (connectable) face is a non-terminal symbol. F(l,m)
or G(l,m)
A part is a production rule G(l,m0)→F(l,m1),…,F(l,mk)
– can be applied only one time in the parsing.
– In order to avoid the loop.
A connection of two faces (parts) is also a production
rule F(l,m)→G(j,k).
Terminal symbol ε means, a face is not connected to
another face (F(l,m)→ε) or a production rule was
already used in the parsing. (G(l,m)→ε)
An attribute grammar. S →G(l,m). S.s=G(l,m).s
14. Parse tree of an object
0 S
4
G(0,1)
3 2 1
F(0,0)F(0,2)F(0,3)F(0,4)F(0,5)
5
G(1,4)
Face ID
F(1,0)F(1,1)F(1,2)F(1,3)F(1,5)
0 G(2,1)
3
S F(2,0)F(2,2)F(2,3)F(2,4)F(2,5)
G(3,2)
2 1
F(3,0)F(3,1)F(3,3)F(3,4)F(3,5)
Source object
G(0,3)
and its parts ID
Parse tree of the object
15. A Synthesized attribute of S which
represents the object’s information
S.s=G(0,1).s
G(0,1).s=(“part information” 0 nil F(0,2).s nil nil nil
(information-of-this-part-except-this-list))
– Part 0’s = F(0,2).s + its information.
F(0,2).s=(“connection information” 0 2 1 4 0 G(1,4).s)
– Part 0-face 2 is connected with part 1-face 4, 0, …
G(1,4).s=(“part information” 1 nil nil nil F(1,3).s nil
(information-of-this-part-except-this-list))
F(1,3).s=(“connection information” 1 3 2 1 0 G(2,1).s)
…
17. V. Application to a 3D Modeling
and a Self
Reproduction
A 3D modeling, a strain analyzer
of 3D structure (if each part has
strain gauges), 3D input devices,
…
A self reproduction
– If the transmitter and the receiver
are connected, and they are also
made of the intelligent parts?
18. parts
A B A’ B’
TX RX TX RX TX RX TX RX
A’ B’ A’’
TX RX TX RX TX RX
(copy1) (copy2) (copy3)
A Self reproduction
19. VI. Related Works
Quantum teleportation
Project to build a 3D fax machine (Stanford)
CEBOT (T.Fukuda,Nagoya)
Triangles and Narratives (M. G. Gorbet, M.
Orth and H. Ishii, MIT)
ActiveCube (Yoshifumi Kitamura, Yuichi Itoh,
Toshihiro Masaki, FumioKishino, Osaka)
Attribute grammar (D.E. Knuth)
Self reproduction of Compilers (ex. A+D=P,
N.Wirth)
20. VII. Concluding Remarks
A method for realizing a practical
teleportation
sending a practical object to a remote place
The object can be an automatic machine
such like a robot
3D modeling and self reproduction
Weak points
– The object must be made of the intelligent
parts.
– The parts must be prepared at the remote
place.
We are realizing it now!
I’m takshi yamanoue, belong to Kyushu institute of technology, japan. I’d like to talk about “R ea lizing a pr a ctical teleport a tion system using the Int e lligent parts.” He is Nicola Tesla, a famous inv e ntor, who inv e nted an ac p o wer supply s y stem, a wi re less communic a tion s y stem and many others. Some one said that he was res ear ching a teleport a tion.
This presentation consists of the introduction, outline of the teleportation system, intelligent parts used for the teleportation system, Computer simulation, application to a 3d modeling and a self reproduction, related works and concluding remarks.
Teleportation is a kind of transportation which sends an object to a remote place in a short time and without using physical transportation system. For example, FAX or TV is a kind of teleportation system.
Teleportation is one of our dream. It may save time, save money, send an object to space stations, A deep sea or an isolated place easily. It may more development of scientific and technical advance at the Remote place. We want to send functional machines, such as toys, robots and vehicles, which fax or TV can’t do .
A teleportation system can be realized by the following steps. Step 1. extracts all information from an object. Step 2, sends the information to a remote place. Step 3, constructs the identical object at the remote place using the information and materials at that place.
In order to extract information, there are these previous methods. 3D digitizers such as a stereo camera and a laser digitizer can get only the surface information of the object. CT and MRI can get the inside information of the object. But it is difficult to get the functional information of the object.
In order to solve the problems of previous methods, we take this approach. We assume that the object is made of the intelligent parts which are shown later. The information of the whole object is obtained by self recognition of the object. The entire information of the object, its outside structure, its inside structure, its function, Its state, can be extracted.
In order to sending information, we already have high speed computer networks. In order to construct the identical object, we can use the industrial robots such like assembly robots in car manufacturers.
This figure shows the outline of our teleportation. The source object is made of the intelligent parts. Its information is obtained by its self recognition method and the information is extracted from this probe. Then the information is transmitted to the remote place by this transmitter and network . The receiver receives the information and builds the object which is id e ntical to the source object, using the parts.
We made two kinds of prototypes of the intelligent parts. One is cubical type and another is square-pie type.
This is a face of the cubical part. In order to inter-connect and to communicate between parts, each face of the part has these elements. This layout of magnets enable to connect the two parts with face-to-face in every 90 degree-rotation. A pair of a lighting device and a photo sensor is coupled between the connected faces. The pair can send and receive the information between the connected parts. Between the connected parts, the direction of the one part- face to the other part- face is recognized by the direction of the pair of the photo sensor and the lighting device.
This figure shows the layout of elements of a square-pie type part. Pair of magnet and photo device are arranged at the connecting face.
In order to recognize the object by itself, a syntactic analysis is used. The probe of the transmitter is the start symbol. A face of a part is a non-terminal symbol. A part is a production rule. In order to avoid the loop of parsing, this rule can be applied only one time in the parsing. A connection of two faces is also a production rule. An attribute grammar is used for extracting the information.
This is the derivation tree by parsing this object. This is the probe of the transmitter. ( 時間があれば tree の説明をしますか?)
This is a part of the information of the object, which is the value of the synthesized attribute of the probe.
Now please look at our computer simulator. Now I’m building the source object. [push the teleportation button.] Now it is recognizing by it self. And the receiver, small factory, is constructing the identical object. This is a horizontal turn table. This is a vertical turn table.
Our method can be applied to a 3D modeling and self-reproduction. Our method extracts entire information of the object which includes its outside and inside structure, Its function and its state. So it can be used as a 3d modeling tool. It can be also used a strain analyzer of 3d structure if each part has strain gauges. If the transmitter and the receiver are connected, and they are also made of the intelligent parts, It will be a self reproductive machine.
The machine B gets the information of the machine A and build the object A’ which is identical to the machine A using the parts. Then this machine A’ get the information of the machine B and build the object B’ which is identical to the machine B using the parts. And so on.
There are some related works. Quantum teleportation is a true teleportation method. However, it is hard to send a practical thing now. "Project to build a 3D fax machine" is a project for realizing a practical teleportation. However, this method cannot send machines or structures with functions. “ CEBOT”, "Triangles and Narratives" and “ActiveCube” use similar parts to our parts in this paper. However, their parts cannot recognize the direction of the connected parts. Attribute grammars are introduced by Dr. Knuth. Our self reproduction of a machine is similar to the self reproduction of the compiler of a programming language.
We have shown a method for realizing a practical teleportation which can send a practical object to a remote place. The object can be an automatic machine such like a robot. We also shown that the method can be applied to 3d modeling and self reproduction. This method has these weak points. The object must be made of the intelligent parts. The parts must be prepared at the remote place. We are realizing our teleportation system now.
This research was born in a discussion of our group, what how for kitakyushu.