WHAT IS A SWARM?
• swarm is the collective motion of a large number of self-
propelled entities.
SWARM ROBOTICS
• Swarm robotics is a new approach to the coordination of
multi-robot systems which consist of large numbers of mostly
simplephysicalrobots.
SWARM INTELLIGENCE
• “Swarm intelligence (SI) is artificial intelligence based on the
collective behaviour of decentralized, self-organized systems”
• It has mainly two algorithms
1.Ant colony optimization
2.Flocking algorithm
Follow Me
Ant Colony Optimization (ACO)
• The study of artificial systems modeled after the
behavior of real ant colonies and are useful in solving
discrete optimization problems
• Introduced in 1992 by Marco Dorigo
Originally called it the Ant System (AS)
Has been applied to
 Traveling Salesman Problem (and other shortest
path problems)
 Several NP-hard Problems
5
NMIMS MPSTME
Flocking Algorithm
• A population based stochastic optimization technique
• Searches for an optimal solution in the computable search
space
• Developed in 1995 by Dr. Eberhart and Dr. Kennedy
SINGLE ROBOT VS SWARM ROBOT
CATEGORIES IN SWARM:
Master Slave
• This controls all the other
robots in swarm.
• There will be only one
master.
• They are intended to guide
the slaves.
• They take decision from
their own under critical
conditions.
• This will be controlled by
the master robots.
• There are so many slaves
present in a swarm
application.
• They are intended to do
certain task given by the
master.
• They can’t take own
decisions by their own.
BASIC PARTS OF A ROBOT:
• Microcontroller
• Motors
• Sensors
How communication is possible?
CHAIN FORMATION
- .
AGGERATION
The goal of the clustering behavior is to move the swarm to a
centralized location
• first, each robot selects a group to join, then the behavior
moves
• robots in the same groups together, while moving entire
groups away from each other
BENEFITS & DISADVANTAGES
benefits Disadvantages
• Adaptable
• Evolvable
• Boundless
• Novelty
• Non optimal
• Non controllable
• Non predictable
• Non understandable
• Non immediate
Applications:
In Industries,medicine
In Military , space research
CONCLUSION
Dumb parts, properly connected into a swarm, yield smart results.
THANK YOU

swarm robotics

  • 2.
    WHAT IS ASWARM? • swarm is the collective motion of a large number of self- propelled entities.
  • 3.
    SWARM ROBOTICS • Swarmrobotics is a new approach to the coordination of multi-robot systems which consist of large numbers of mostly simplephysicalrobots.
  • 4.
    SWARM INTELLIGENCE • “Swarmintelligence (SI) is artificial intelligence based on the collective behaviour of decentralized, self-organized systems” • It has mainly two algorithms 1.Ant colony optimization 2.Flocking algorithm Follow Me
  • 5.
    Ant Colony Optimization(ACO) • The study of artificial systems modeled after the behavior of real ant colonies and are useful in solving discrete optimization problems • Introduced in 1992 by Marco Dorigo Originally called it the Ant System (AS) Has been applied to  Traveling Salesman Problem (and other shortest path problems)  Several NP-hard Problems 5 NMIMS MPSTME
  • 7.
    Flocking Algorithm • Apopulation based stochastic optimization technique • Searches for an optimal solution in the computable search space • Developed in 1995 by Dr. Eberhart and Dr. Kennedy
  • 8.
    SINGLE ROBOT VSSWARM ROBOT
  • 9.
    CATEGORIES IN SWARM: MasterSlave • This controls all the other robots in swarm. • There will be only one master. • They are intended to guide the slaves. • They take decision from their own under critical conditions. • This will be controlled by the master robots. • There are so many slaves present in a swarm application. • They are intended to do certain task given by the master. • They can’t take own decisions by their own.
  • 10.
    BASIC PARTS OFA ROBOT: • Microcontroller • Motors • Sensors
  • 12.
  • 13.
  • 14.
    AGGERATION The goal ofthe clustering behavior is to move the swarm to a centralized location • first, each robot selects a group to join, then the behavior moves • robots in the same groups together, while moving entire groups away from each other
  • 15.
    BENEFITS & DISADVANTAGES benefitsDisadvantages • Adaptable • Evolvable • Boundless • Novelty • Non optimal • Non controllable • Non predictable • Non understandable • Non immediate
  • 16.
  • 17.
    In Military ,space research
  • 19.
    CONCLUSION Dumb parts, properlyconnected into a swarm, yield smart results.
  • 20.