Swarm Auto-bots are having an unprecedented positive impact on our personal social and business operations. Swarm Auto-bots is a field in which large numbers of robots are coordinated to perform the desired task. The nature of individual Auto-bots is either heterogeneous or homogenous robots. A
Obstacle Avoidance of Multi Agent System using Swarm Autobots
Swarm Auto-bots are having an unprecedented positive impact on our personal social and business operations. Swarm Auto-bots is a field in which large numbers of robots are coordinated to perform the desired task. The nature of individual Auto-bots is either heterogeneous or homogenous robots. A significant portion of the research is seen
to be interested in mobile Auto-bots. The main aim is to fabricate and develop an autonomous and intelligent system to perform swarming with synchronization and continuous communication. It is a system in which the moving Auto-bots perform swarming; avoiding obstacles and collisions among themselves by controlling parameters like stability and synchronization. The prototype comprises two unmanned ground vehicles (UGVs). These UGVs form swarm. The swarm Auto-bots are comprised of one Master the decision-making Auto-bot and the other is Slave who acts accordingly to the alpha node in a synchronized manner. The UGVs are designed and fabricated on the same computational power to enhance ability and modification according to application. The communication channel is Wi-Fi in a range of 220 meters, yet a well-secured Master only communicates to the unique MAC address of the Slave and can handle 250 bytes of data up to 20 beta nodes if attached.
The following are the Objective of our proposed system:
Designing of the Auto-bots robotic vehicles.
Intercommunication, communication, coordination between auto-bots for networked control consensus.
The global goal is to set Obstacle avoidance as an application.

This project scope is application-based subject to obstacle avoidance. Consequently, the following are the benefits of the current scenario:
The final deliverable will include the following:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| ESP 32 Micro controller | Equipment | 6 | 1700 | 10200 |
| 4wd Smart Robot Chassis | Equipment | 4 | 2000 | 8000 |
| LIPO Battery 2200mah | Equipment | 4 | 3300 | 13200 |
| T Connector for LIPO Battery | Equipment | 4 | 50 | 200 |
| Motor Driver L298N | Equipment | 8 | 200 | 1600 |
| Data Cable | Equipment | 4 | 400 | 1600 |
| Male to Male Wires | Equipment | 200 | 3 | 600 |
| Female to Female Wires | Equipment | 200 | 3 | 600 |
| LIPO Battery Balance Charger | Equipment | 1 | 5000 | 5000 |
| Reserve DC Gear Motor | Equipment | 9 | 150 | 1350 |
| Ultrosonic sensor | Equipment | 16 | 250 | 4000 |
| 3 Mini Breadboard | Equipment | 4 | 200 | 800 |
| Other Expenses | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 57150 |
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