Swarm Robotics

Swarm robotics is implementation of Swarm intelligence. Swarm Intelligence (SI) is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems.  Swarm robotics is a new approach to the coordination of multi-robot systems wh

Project Title

Swarm Robotics

Project Area of Specialization

Artificial Intelligence

Project Summary

Swarm robotics is implementation of Swarm intelligence. Swarm Intelligence (SI) is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems. 

Swarm robotics is a new approach to the coordination of multi-robot systems which consist of large numbers of mostly simple physical robots. It is supposed that a desired collective behavior emerges from the interactions between the robots and interactions of 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 behavior occurs. 

The main objective of Swarm robotics is to reduce the work load and increase the efficiency of the system.  

Project Objectives

The objective of the Swarm-Bots project was the design, hardware implementation, test and use of self-assembling, self-organizing, metamorphic robotic systems called swarm-bots, which were composed of a swarm of assembled s-bots. Inspired by the collective behavior of social insect’s colonies, simple robots, referred to as s-bots, were capable of autonomously carrying out individual and collective behavior by exploiting local interactions among the s-bots and between the s-bots and their environment.

The swarm of s-bots can be used for a collective transport, or to reach the points hardly reachable for a single unit.

The aim of this project was to know about the swarm behavior of robots operating in a tight formation and perform the task that is assigned to them.
 

Project Implementation Method

First Phase
•    Planning, Learning, Searching and Collecting Information about the Idea Swarm Intelligence.

Second Phase
•    Designing, Sketching, Simulating the system in Proteus and Fritzing.

Third Phase 
•    Hardware collection, Assembly of hardware and Testing.
Final Phase
•    Implementation in Arduino architecture and its programming with the required sensors.

Benefits of the Project

Some Benefits of Swarm-robotic systems make them more appealing then classical robotics. Some tasks may be too complex for a single robot to perform. The solution speed is increased when using large number of robots, even when the cooperation is not present. It is easier to design simple robot units required for a swarm. 

The communication between the robots is reduced because of the indirect interactions. surveillance, reconnaissance, hazard detection, path finding, payload conveyance, and small-scale actuation
 

Technical Details of Final Deliverable

Following are the Hardware/Software to make the desired prototype for the implementation of Swarm intelligence.

Hardware Needed:
1.    Arduino
2.    ZigBee
3.    Motor Driver L298N
4.    Regulator IC's
5.    Capacitors
6.    Resistors
7.    IR Sensors
8.    Ultrasonic Sensors
9.    Optical Sensors
10.    Servo Motors
11.    DC Actuators(Motors).
12.    Bluetooth Modules
13.    And other relevant components

Software Needed:
1.    Arduino Programming Environment
2.    Matlab
3.    Processing Environment 
4.    Proteus
5.    Fritzing
 

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

Education , IT , Medical , Agriculture , Food , Manufacturing , Transportation , Media , Others , Health , Security , Telecommunication

Technologies

Artificial Intelligence(AI), Internet of Things (IoT), Robotics

Sustainable Development Goals

Industry, Innovation and Infrastructure, Responsible Consumption and Production, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com