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ATGV STAIR CLIMBING BOT

All Terrain Ground Vehicle (ATGV) Stair Climbing Bot

Overview :

A simple tracked all terrain robot that is able to perform 2 D locomotion and climb stairs.

Mechanical Components :

1) Dimensions :
    length     - 80 cm
    height     - 20 cm
    breadth  -30 cm
    weight    - 5.4 kg
2) Materials Used :  2 mm thick Aluminium sheet , 3 mm thick acrylic sheet , plastic wheels, rubber gripped conveyor belts    
3) Motors :  150 rpm Johnson motors (avg torque of 5 - 10  kg-cm)       
4) Mechanical Components :   2 RC suspensions, butt hinge, springs , nut and stud combination, nut and bolt

Design in SolidWorks:

  ​Robot was first designed in SolidWorks software (2014 version) . 
​ One can see final design but it is not as per original dimensions.
Picture

Electronic Aspect :


Motor Driver            : 18 volts and 20 amperes driver board
                                              robokits.co.in/motor-drives/dual-dc-motor-driver-20a
​
Controller                   :  Arduino  Nano
​Bluetooth Module :  hc-05
​Battery                          : 12 v Li-Po battery

Block Diagram for connection of components :

Picture

Android App :

The app used to control the bot is made in MIT App Inventor 2.
The app is designed in such a way that bot can be either manual controlled or motion controlled.
​
Picture

For Working Of Bot, You Can Refer To This Video!

Applications Of Bot :

1. Military purpose(mounting camera on bot)
2. Helpful in hostage situations
3. Mine surveying(mounting 3D scanner)


Climbing stairs and all terrain compatibility has always been a major issue in the world of robotics. We have tried to present a better as well as cost effective solution to this problem. Also, further advancements will lead to better and diverse applications.

Team Members :

1) Unmesh Uttam Patil
2) Prajwal Vasant Pise
3) Radhika Ulhas Tekade
4) Lokesh Kumar Malke

Mentored By :

1) Shubhanshu Gupta
2) Disha Kamale
​3) Gaurav Charpe
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  • Our Lab
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    • Alumni >
      • Batch 2014
      • Batch 2016
      • Batch 2017
      • Batch 2018
      • Batch 2019
      • Batch 2020
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