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SWARM
ROBOTICS
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INTRODUCTION
▸ Swarm Robotics is a new approach to the co-ordination of multi robot systems
which consist of large numbers of mostly simple physical robots.
▸ It is supposed that a desired collective behaviour emerges from the interactions
between the robots and interactions robots with the environment.
▸ This approach emerged on the field of artificial swarm intelligence, as well as the
biological studies of insects, ants, and other fields in nature, where swarm
behaviour occurs.
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LOOK AT SWARM ROBOTS
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MAIN CHARACTERISTICS
▸ The robots of the swarm must be autonomous robots, able to sense and actuate
in a real environment.
▸ The number of robots in the swarm must be large.
▸ Robots must be homogenous.
▸ The robots need to collaborate in order to succeed or to improve the
performance.
▸ Robots have only local communication and sensing capabilities.
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TWO MAIN ORGANS
▸ Software
▸ It gives a simulation environment to the functioning of the robot.
▸ Hardware
▸ It brings into action, direction simulated by the software.
▸ When many such inter-communicable robots are brought to work together,
swarming action comes to force.
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BEHAVIOURS
▸ Aggregation
▸ Task allocation
▸ Dispersion
▸ Source search
▸ Pattern formation
▸ Collective transport of objects
▸ Collective movement
▸ Collective mapping
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SPECIAL CHARACTERISTICS
▸ De-centralization
▸ It has no central control or leader for the group
▸ Self-Organisation
▸ It gives the notion of emergent intelligence to swarm robotics
▸ Parallel distribution
▸ It helps in enhancing its functional capability
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TWO COMMUNICATION METHODS
▸ Implicit communication
▸ It is a method of communication through the environment or by changing the
environment.
▸ Explicit communication
▸ It is a method of communication in which the robots directly pass messages to
each other.
▸ Technologies used: Bluetooth, Wireless LAN, or Infrared
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TWO ALGORITHMS
▸ Flocking Algorithm (FA)
▸ Developed by Craig Reynolds
▸ Aggregation of thousands of individuals in an elegant and organised manner
▸ Ant Colony Optimisation (ACO)
▸ Developed by Marco Dario
▸ Useful in problems that need to find paths to goals
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APPLICATIONS
▸ Monitoring tasks
▸ Detecting hazardous events
▸ Dangerous tasks
▸ Search and rescue
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MAIN SECURITY CHALLENGES
▸ Physical capture of the robots
▸ Identity and authentication
▸ Communication attacks
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FUTURE WORK
▸ Mathematical modelling of swarm robotic systems
▸ Work on safety analysis at robot and swarm level
▸ Develop an approach to the design of emergence
▸ Develop methodologies and practises for the testing of swarm systems.
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THANK YOU