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Robot Terminology

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Passive vs. Active: passive sensors read what comes to them, ... Simple reflex agent. Reflex agent with state (model-based) Goal-based agent. Utility-based agent ... – PowerPoint PPT presentation

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Title: Robot Terminology


1
Robot Terminology
  • Susan Fox
  • COMP/NEUR 484
  • Fall 2004

2
Robot agent parts
  • Controller the brain, both hardware and
    software
  • Sensors inputs from the environment
  • Effectors actuators to alter the environment
    (mostly motors)

3
Sensor types
  • Passive vs. Active passive sensors read what
    comes to them, active send out signals
  • Range finders sensors which detect the distance
    from the robot to an object
  • Remote sonar, infrared, laser
  • Tactile sensors bump, whiskers, skin
  • Absolute location GPS, other triangulation
    sensors
  • Proprioceptive sensors for the robots own state
  • Rotation sensors/Odometers
  • Arm angle sensors
  • Temperature, battery power, etc.

4
Degrees of Freedom
  • One degree of freedom for each independent
    direction a robot or its effectors can move
  • Car three degrees
  • Airplane six degrees
  • Robot arm as many as there are joints
  • Effective DOF those robot has
  • Controllable DOF those robot can control
  • Holonomic when of effective DOF equals of
    controllable DOF

5
Sensor and Effector issues
  • Sensor error all sensors are faulty to one
    extent or another
  • Sensor modeling build probabilistic model of
    sensor function including faults
  • Localization determining where the robot is
  • Effector error all effectors are faulty

6
Vacuum environment
  • Performance measure the number of clean squares
    over 1000 time steps
  • Environment square A and square B, which may be
    dirty or clean, and the robot located in one or
    the other square
  • Actuators the robot can suck, move right, move
    left, or do nothing
  • Sensors the robot can detect which square it is
    in, and whether it is dirty or clean

7
Properties of Environments
  • Fully observable vs. partially observable
  • Deterministic vs. stochastic
  • Episodic vs. sequential
  • Static vs. dynamic
  • Discrete vs. continuous
  • Single agent vs. Multiagent

8
Classifying agents
  • Simple reflex agent
  • Reflex agent with state (model-based)
  • Goal-based agent
  • Utility-based agent

9
Agent design pseudocode
  • Function AGENT(percepts) returns an action
  • Return action
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