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Robots in Action

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Late policy (Some credit, helps grading) Structure of course project ... Proprioception (Looking at your own hand) Lecture 4-1. CS251: Intro to AI/Lisp II ... – PowerPoint PPT presentation

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Title: Robots in Action


1
Robots in Action
2
Announcements
  • Feedback response
  • Late policy (Some credit, helps grading)
  • Structure of course project (Tyranny of the
    majority, grading)
  • PowerPoint vs. chalk talk doing the reading
  • Homework assigned today
  • Course project descriptions

3
Asimovs Three Laws
  • 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.

4
Whats a Robot?
  • Mobile?
  • Autonomous
  • Softbots

5
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9
Snips and Snails and Puppy Dog Tails, thats what
robots are made of
  • Effectors
  • Actuators
  • Degrees of freedom
  • Sensors
  • Proprioception (Looking at your own hand)

10
Motion for Robots
  • Degrees of freedom

11
Different Sensor, Different Task
  • SONAR
  • Obstacle avoidance
  • Lasers
  • Range-finding
  • Vision
  • Obstacle avoidance
  • Proprioception

12
Robot Architecture
  • Designing a robot
  • Common features of many different robots
  • Classical
  • Nouvelle AI (Situated automata)

13
Classical (aka SHAKEY)
  • Theorem provers proved too general
  • No execution monitoring
  • Version 2
  • Specialized programs (LLAs, ILAs)
  • Modeling uncertainty
  • Learning with macro operators
  • PLANEX

14
SHAKEY
  • Conclusions
  • Limited ability to handle unexpected outcomes
  • Each move took 1 hour of computing time
  • High probability of failure
  • STRIPS produced good plans
  • Sensory interpretation primitive

From http//hebb.cis.uoguelph.ca/deb/Robotics/Not
es/traditional/page5.html
15
Situated Automata
  • Is classical robotics too difficult?
  • Toss out the representation
  • Embedded agents
  • Model the world as interacting automata
  • Physical environment Agent
  • Local state of one f(Signals from other)
  • Flakey

16
Elephants Dont Play Chess
  • What does this mean?

17
(Physical) Symbol Systems
  • Biologically implausible
  • Frame problem
  • Planning is hard
  • NP-complete
  • Heuristics

18
Physical Grounding
  • Whats the hypothesis?
  • Evolution
  • What is Brooks argument?

19
Brooks Robots
  • Allen
  • Tom Jerry
  • Herbert
  • Genghis
  • Squirt
  • Toto
  • Seymour
  • Gnats
  • Ant farm

20
Subsumption, what is good for?
21
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