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UAV-uGV-system

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Aim: To design and evalute a cooperative planning strategy for payload transportation using a heterogeneous swarm of robots.

Challenges:

  • Design a UAV-UGV system physically coupled using a passive tether; % to explore unknown regions hidden from the field of view of the UAV like cavities and regions where UGV alone cannot reach;
  • Design a miniature robot with autonomous navigation capabilities;
  • Design and implement exploration and manipulation techniques for the miniature robot, as it might not be able to use existing algorithms because of the lack of (high-end) sensors and computations required;
  • Design a miniature robot with autonomous navigation, exploration and manipulation capabilities, even though the miniature robot is equipped only with limited low-end sensors and computation board;
  • Design a gripper that can be installed on a mini robot to pick and place objects in a hidden space;
  • Design a robust software-system architecture to support repetitive operations.

System Dependencies

  • Ubuntu : 16.04+
  • ROS : Kinetic+
  • CPU : ARM7+ or Intel i3+ or AMD R4+
  • RAM : 4GB+
  • Memory : 10GB+

Setup and installation

cd ~/
git clone https://github.com/scifiswapnil/UAV-uGV-system
cd UAV-uGV-system/ROS
source /opt/ros/melodic/setup.bash
catkin_make
source devel/setup.bash
roslaunch robomax_description robomax_world.launch 

Bill of materials

Sr No Part Name Link Spec Cost Quantity Total
(in INR)
1 Microgear Motor source 210:1 gear ratio
60 RPM
1.9 kg-cm
Extended shaft
1679 5 8395
2 Microgear Motor Encoder source 12 CPR
LP & HP compatible
999 5 4995
3 Microgear Wheels source 42mm x 19mm Wheel Rugged
encoder Built in
700 5 3500
4 Rpi waveshare mini cam source Rpi zero 5 MP mini camera 1979 1 1979
5 9DOF IMU sensor source I2C interface
400kHz Fast Mode I2C
1479 1 1479
6 Motor Driver source Dual HBridge driver
1.2A per channel
489 2 978
7 Li-ion BMS source 3S Li-Ion charge/Discharge
11.1 - 12.6 CutOff
200 2 400
8 Li-ion battery source 2 pcs 18650
charger included
3529 2 7058
9 ESP 32 + camera source ESP32
0.9 MP Camera
1060 1 1060
10 Rpi zero camera kit source RPi zero
case
convertors
2490 1 2490
Total 32334

Existing uGV platform comparison

Sr. No. 1 2 3 4
Robot name Pololu Zumo Nvidia Jetbot Ai Turtlebot Burger Robomax(Ours)
Structural Weight 160 grams 900 grams 350 grams
Size 100x100x45 mm 138 x 178 x 192 mm 130 x 120 x 55 mm
Drive type Differential with
track drive
2 Differential drive
+ 2 castors
4 wheel drive
Sensors Monocular camera No 8 MP ; 30/60 FPS ;
Monocular camera
No (can be added) 5 MP ; 30/60FPS ;
Monocular camera
IR 2 front ; 1 left ;
1 right
No (can be added) No (can be added) 2 front
LIDAR No No Yes No
IMU 6 DoF IMU No (can be added) 9DoF IMU 6 DoF IMU
Communication No Wifi/Bluetooth Wifi/Bluetooth Wifi/Bluetooth
Actuator / Display Buzzer / OLED
display unit
OLED Display No EPM - electro-
permanent magnet
Computation power Atmel
microcontroller
Cortex-A57 +
128 Core GPU
Rpi 3 b + OpenCR Rpi zero W + ESP 32
Battery type 4x AA Alkaline
battery
Li-ion/Li-Po/Portable
power Bank
Lipo Battery 2x 18650 Li-ion
battery
Operation time 45 mins 65-90 mins 85-110 mins 30 mins
Programmable Arduino platform Debian platfrom / ROS Debian platform /
Arduino / ROS
Debian platform /
ESP-IDF / ROS
PCB prototype UGV CAD Model First prototype

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Mini-UGV : CAD, Schematics, Simulation files

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