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myppt myppt Presentation Transcript

  • BEAM ROBOTICS
    PRESENTED BY,
    RAJIV R
    1Y06DEC051
  • This presentation will include…
    Introduction to Digital Robotics.
    Kinds of Digital Robots.
    Strengths and weaknesses of digital robotics.
    Introduction to BEAM robotics.
    Strengths and weaknesses of BEAM robots.
    Design.
    Performance of BEAM Robots
  • Digital Robotics
  • Introduction to Digital Robotics
    Programmed with If/Then statements, providing criteria and appropriate, pre-set behavior for each situation.
    Any defects in sensors used leads to malfunction.
    Examples: QRio (Sony), Asimo (Honda)
  • Kinds of Digital Robots
    Entertainment (example: Sony Aibo or QRio)
    Industrial (example: painting and welding arms)
    Special-Effects (example: Jurrasic Park Dinosaurs)
    Research-based (example: Mars Rover, Honda Humanoid)
  • Digital Robotics
    Strengths
    Precise, controllable movements.
    If/Then statements dictate exact behavior.
    Can repeat same task over and over.
    Weaknesses
    Can only deal with predicted events.
    Less scalable technology.
    Requires massive computing power for simple tasks.
    Usually not self-contained. (separate computer)
    Cannot function if damaged.
    Not suited to natural environment.
  • BEAM Robotics
  • Introduction to BEAM Robotics
    What it means: Biology, Electronics, Aesthetics, Mechanics.
    Design philosophy: Simplest possible design to perform a specific task. (No unessential features).
    Uses no programming.
    Mimics organic life.
    Actions dictated by physical design.
    High survivability.
  • Different types of BEAM Robots.
    AUDIOTROPE-which reacts to the sound sources
  • RADIOTROPE-which reacts to the Radio frequency sources.
  • PHOTOTROPE-which reacts to light sources.
  • THERMOTROPE-which reacts to heat sources.
  • BEAM Robotics
    Strengths
    Adaptable behavior to fit situation.
    Energy efficient.
    Durable.
    Renewable power source.
    Adaptable to damage.
    Protects self.
    Can survive outside laboratory environment.
    Weaknesses
    Random behavior.
    Not as taskable.
    Inexact movements.
    Not suited to “factory” environment.
    Reflexive.
  • Simple autonomous Robot-RADIOTROPEIMPLEMENTATION
  • Design
    4 limbs.
    2 solar cells i.e 1 for use and one for backup.
    RF sensor i.e only to sense the enemy signals.
    Neural networks to avoid collision
    Wireless camera.
    A position locater to locate the robot.
  • ARITIFICIAL NEURAL NETWORKS(ANN)
    An artificial neural network is composed of many artificial neurons that are linked together according to a specific network architecture
    Neurons mimic the properties of biological neurons.
    Each neuron of an artificial network learn from the environment in which robot is left.
  • ANN-implementation
    try to create an learning environment which comprises of enemy TX, host TX and actual war field environment.
    make neural networks to learn in this environment and make motors(which drives the wheels of robot) to run according to knowledge gained from neurons.
    Now the robot is left in the war field to find enemy TX.
    Robot reach the enemy TX without any collision due to neural networks implementation.
  • LEARNING ENVIRONMENT
    Gaining Knowledge about
    Surrounding environment
    Robot-env 4
    Robot-env 2
    ENEMY TX
    HOST TX
    Robot-env 3
    Robot-env 6
    Robot-env 1
    Robot-env 5
    Learning process is completed
  • Robot specifications
    Low charge
    Solar cell 1
    Solar cell 2
    radiotrope
    Charging
    Navigation of robot using neural netw
    Position Locater
  • Enemy tx.
    RF SIGNALS
    Enemy signal
    detected
    radiotrope
    our tx.
    RF signals
    Missile launcher
    Position obtained
  • Performance
    Dependabilty of BEAM
    Robots
    Dependabilty of DIGITAL
    Robots
    Advancement in the field of BEAM Robotics
  • Conclusion
    The application of BEAM robots will be most effective for defence purpose.
    Navigation of robot is more accurate by using ANN.
    The end product is reliable and efficient.
  • THANK YOU!!!