Collaborative Mapping Using Swarm Robot

Project Title

Collaborative Mapping Using Swarm Robot

Project Area of Specialization RoboticsProject Summary

Collaborative Mapping Using Swarm Robotics

Swarm autonomy is a moderately new research area inspired from biological system, for example, insect or honey bee groups. It makes a framework comprising out of numerous little robots with basic control components fit for accomplishing complex aggregate practices on the swarm level, for example, aggregation, pattern formation and collective transportation. Firstly, people use two techniques such as G-map or Hector map for mapping which takes too much time because these techniques uses only one robot to complete the area.

Mapping in an unknown environment is a critical task in the field of robotics.Our system will work on multiple robots which will generate their own map and at the end it will merge all the maps and create a one single map. Our goal is to save time and to work on those areas where Google maps does not operate. The knowledge areas to be covered using ROS, Python, Artificial Intelligence (AI), PCL (point cloud libraries).

Project Objectives

Our objective is to create maps using multiple (3 or 4) robots. The maps created by all the robots will be merged and form into one big single map containing all the maps of the robots. This will save time and even if one of the robots stop working the other can continue in completion of the map.

For this, we need four 2D LIDAR laser  and four mobile robots,

Project Implementation Method

Flow chart will show u how our project work.

Benefits of the Project

1. This system will save time.
2. If one of the robot is destroy or stop working other will continue their work and generate a map.
3.  We can generate map of such places where Google map cannot work like cave, indoor buildings, destroy buildings etc
4. Army also use this technique for searching enemies and bomb.

Technical Details of Final Deliverable

At the end, a Single Big Map Created of any environment.

Final Deliverable of the Project HW/SW integrated systemType of Industry IT Technologies RoboticsSustainable Development Goals Partnerships to achieve the GoalRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
2d Lidar laser	Equipment	4	17500	70000
robots etc	Miscellaneous	5	2000	10000