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Robotics Introduction

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A robot may not look anthropomorphic. Android ... Androids resemble humans while robots need not, but may, have physical features ... – PowerPoint PPT presentation

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Title: Robotics Introduction


1
Robotics Introduction
  • ITGS

2
Robots
  • The term is derived from the Czech word robota,
    meaning "forced labour"
  • A mechanical device controlled by computer
    processors and programs that perform human-like
    tasks.
  • A robot may not look anthropomorphic

3
Android
  • A machine created to perform one or more
    functions normally carried out by humans. Means
    literally possessing human features the Oxford
    English Dictionary defines android as an
    automaton resembling a human being. Androids
    resemble humans while robots need not, but may,
    have physical features like those of humans.

4
Cyborg
  • A human with one or more mechanical or electronic
    devices implanted to enhance the capabilities of
    that human.

5
Isaac Asimov
  • born Jan. 2, 1920, Petrovichi, Russiadead
    April 6, 1992, New York, N.Y., U.S.
  • American author and biochemist, a highly
    successful and prolific writer of science fiction
    and of science books for the layperson. He
    published about 500 volumes. Asimov was brought
    to the United States at the age of three. He grew
    up in Brooklyn, N.Y., graduating from Columbia
    University in 1939 and taking a Ph.D. there in
    1948. He then joined the faculty of Boston
    University, with which he remained associated
    thereafter.

6
Asimovs Three Laws of Robotics
  • Laws supposed to be programmed into all robots
    for human safety and robot development
  • A robot may not injure a human being, or, through
    inaction, allow a human being to come to harm.
  • A robot must obey the orders given it by human
    beings except where such orders would conflict
    with the First Law.
  • A robot must protect its own existence as long as
    such protection does not conflict with the First
    or Second Law.

7
First law issues
  • In which circumstances can the first law be
    violated?
  • If the life of one human being is threatened by
    the life of another human being. Robots cannot
    ignore the situation due to the inaction
    section of the law.Therefore
  • Can a robot save the human being without hurting
    the other ?
  • What happens if the robot is uncertain about the
    order causing any indirect harm to a human being?
  • Must he carry out the order ?

8
Second law issues
  • In which circumstances can the second law be
    violated?
  • What happens if a human gives an order that is
    impossible to carry out by robots, or worst, that
    may create a dilemma on the robot and cease its
    functionability ?
  • Must the robot accept the order ?
  • What happens if one robot doesn't take an order
    because he is uncertain about the harm it may
    cause a human being, but a second robot knows
    that the order is safe (or not) ?
  • The second robot must help the first robot obey
    in a truer manner the second law.
  • (ref Robots and Empire,1965 two robot
    combination)

9
Third law issues
  • In which circumstances can the third law be
    violated?
  • Must each robot protect the existence of robots
    as a whole or each robot must preserve its own
    existence ?

10
Using robots to kill without violating the laws
of robotics
  • Telling a robot to build a bear trap on the
    woods (to protect humans!) and a second robot
    (independently) to take a man for a walk in the
    woods (to protect this man!).

11
The laws of Humanics (not in syllabus)
  • A human may not injure another human being, or,
    through inaction, allow a human being to come to
    harm.
  • A human must give orders to robots that preserve
    robotic existence unless those orders cause harm
    or discomfort to another human being.
  • A human being must not harm a robot or through
    inaction allow a robot to come to harm, unless
    such harm is needed to keep a human being from
    harm or to allow a vital order to be carried out.

12
Robots vs. Humans
  • What can robots do that humans cant do?
  • What can humans do that robots cant do?
  • What can a robot do better than humans?
  • What can humans do better than robots?

13
Robot issues
  • Can robots reproduce by themselves?
  • Dynamic vs. Static robots society.
  • Darwin theory applied to robots.
  • Robot programming
  • humans or robots
  • Dis-economies of scale.
  • Human programming demand grows.
  • Robots reduce employment ?

14
Turing test
  • A test for deciding whether a computer is
    intelligent, proposed in 1950 by Alan Turing.
    Turing preferred to consider if machines can be
    intelligent as distinct from Can machines
    think?. In a Turing test, human(s) communicate
    in writing with an unseen person or machine. If
    the human(s) cannot distinguish between an unseen
    human and an unseen machine (computer) then the
    machine is said to have passed the test and is
    intelligent.

15
Real turing test (January, 2000)
Reference http//www.dartmouth.edu/phil/events/T
uringTestConference.html Go to summary
16
Artificial Intelligence
  • Class work 7 minute research on definitions for
    artificial intelligence.
  • Definition (IB)
  • A property of machines that, if achieved, mimics
    human thought processes. Many researchers in
    artificial intelligence consider the abilities of
    learning, reasoning and decision making as
    essential to claims of machines possessing
    artificial intelligence.
  • What do you think about AI ?

17
Expert systems
  • Definition
  • A programmed system containing the collective
    knowledge of experts in a given area. Expert
    systems also employ reasoning methodologies or
    models to emulate an expert decision making
    process.
  • Applications Medicine, Mineral detection,
    financial transactions, games, writing plays, etc.

18
Fuzzy Logic
  • A type (set) of Boolean logic used to process
    conditions of partial truth (i.e. for values that
    lie between being completely true and completely
    false.)
  • Fuzzy logic was developed in 1960 by Dr. Lofti
    Zadeh in recognition of the fact that conditions
    exist that cannot be easily described as
    belonging to a binary classification 1 or 0,
    or -, TRUE or FALSE.

19
Fuzzy Logic
  • Fuzzy logic attempts to treat degrees of truth or
    probabilities of truth as distinct from declaring
    that a condition is either always true or always
    false.
  • Practical applications in computer controlled
    systems include the control of fuel/air mixtures
    in internal combustion engines the proportional
    slowing of the speed of objects as they approach
    a given state or target the heating or cooling
    of objects or spaces, e.g. to prevent overcooling
    or overheating the mixing of two or more
    ingredients to achieve a defined final condition
    (especially when the components and their
    properties are constantly changing) the
    operation of some equipment for paramedics.
  • Fuzzy logic uses weighted algorithms in computer
    programs to simulate human thought or life-like
    responses to external conditions.
  • The Sony PalmTop apparently uses a fuzzy logic
    decision tree algorithm to perform handwritten
    (well, computer lightpen) Kanji character
    recognition.

20
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