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- Authors : Alistair Lasrado, Prajwal Shervegar, Vaishnavi, Anusha, Mr. Divyesh Divakar
- Paper ID : IJERTCONV6IS15107
- Volume & Issue : ICRTT – 2018 (Volume 06 – Issue 15)
- Published (First Online): 05-01-2019
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Virtual Reality based Unmanned Ground Vehicle
Virtual Reality based Unmanned Ground Vehicle
Alistair Lasrado1, Prajwal Shervegar2, Vaishnavi3, Anusha4
# Department of Electrical and Electronics Engineering, Canara Engineering College,
Benjanapadauv, Bantwal Taluk, Mangaluru – 574219, Karnataka, India (Affiliated to Visvesvaraya Technological University, Belagavi)
Mr. Divyesh Divakar
*Under Guidance of Asst..Professor,
Department of Electrical and Electronics Engineering
Canara Engineering College, Benjanapadauv, Bantwal Taluk, Mangaluru 574219, Karnataka, India
Abstract Virtual Reality Based Unmanned Ground Vehicles (VR-UGVs) have advantages over people in a number of different applications, ranging from sentry duty, scouting hazardous areas, convoying goods and supplies over long distances, and exploring caves and tunnels. The VR headset has a gyroscope sensor attached which reads the angle of head movement, which in turn gets sent to microcontroller in the UGV which processes the data and gives readings to the servo motor which rotates the camera to collect the video information to VR. This enables the UGV controller to control UGV with virtual reality experience. Unmanned ground vehicle (UGV) is any piece of mechanized equipment that moves across the surface of the ground and serves as a means of carrying or transporting something, but explicitly does not carry a human being.
KeywordsVR headset, Virtual Reality Based Unmanned Vehicle, head movement, virtual reality experience, video information.
The purpose of this paper is to provide a brief survey of a number of different threads of development that have brought the VRUGV field to its current state, together with references to allow the interested reader to probe more deeply.
In the broadest "dictionary" sense, a virtual reality based unmanned ground vehicle (VR-UGV) is any piece of mechanized equipment that moves across the surface of the ground and serves as a means of carrying or transporting something, but explicitly does NOT carry a human being. A discussion of such a broad universe of possible VR-UGV systems needs some organizing principle, and in fact a taxonomy of VR-UGV systems could be based upon any of a number of characteristics of each system, including:
the purpose of the development effort (often, but not always, the performance of some application-specific mission);
the specific reasons for choosing a VR-UGV solution for the application (e.g., hazardous environment, strength or endurance requirements, size limitation);
the "long pole" technological challenges, in terms of functionality, performance, or cost, posed by the application;
the system's intended operating area (e.g., indoor environments, anywhere indoors, outdoors on roads, general cross-country terrain, the deep seafloor, etc.);
the vehicle's mode of locomotion (e.g., wheels, tracks, or legs);
how the vehicle's path is determined (i.e., control and navigation techniques employed).
To reasonably limit its scope, this survey will focus principally on the large number of systems where the
"long pole" technological challenge is or has been in the area of navigation and control.
The surveillance solutions available in the market are:
Time consuming in setup.
Need technical knowledge of operation.
VR based surveillance vehicle processes the data and gives readings to the servo motor, which rotates the camera to collect the video information to VR receiver. This helps the controller to control UGV at ease.
The operations of the Unmanned Ground Vehicle (UGV) can be categorized into three set of operations: Maneuverability, Head Movement, Data Gathering
Maneuverability: This is the basic movement of the robot so as to reach a destination. This is essential for enhanced data gather. Under this operation of the system four motors are integrated into the system via an h-bridge to the microcontroller. The microcontrollers are integrated in the system as a master-slave communication function. Where two microcontrollers have to control two motors on each side and the master microcontrollers control the motors via slave microcontrollers. The command signals are sent via Bluetooth and hence the system has motion.
Head Movement: Here the Head is referred to the robot Head which has a plate mounted over a servo motor and the required input sensor (in this case camera) is placed on the plate. The movement of the plate occurs in the real time due to
the readings sent to the servo motor controller by the gyroscopic sensor mounted on the virtual reality headset [These readings are angle of tilt of the head in horizontal axis].
Data Gathering: Here the data read by the Head is sent to the smart phone placed on the VR-headset. The data is real time as the mode of communication is Wireless-Fidelity (Wi-Fi). Thus creating an illusion of physical presence at the place even though the operator is far away. This basically can be termed as Virtual presence.
DC Current for 3.3V Pin: 50 mA
Flash Memory: 32 KB (ATmega328)
SRAM: 2 KB (ATmega328)
EEPROM: 1 KB (ATmega328)
Clock Speed: 16 MHz
b) DC MOTOR
Motor used in UGV for movement of vehicle is gear motor
and for the movement of camera is servo motor.
3V ~ 7.2V
5.4cm X 4.4cmX2.0cm
Microcontroller used in UGV is Arduino. Arduino is a single- board microcontroller to make using electronics in multidisciplinary projects more accessible. The hardware consists of a simple open source hardware board designed around an 8-bit Atmel AVR microcontroller, or a 32-bit Atmel ARM. The software consists of a standard programming language compiler and a boot loader that executes on the microcontroller.
It is programmed using an integrated development environment (IDE) for Arduino, which is a software application that provides comprehensive facilities to computer programmer for software development. An IDE normally consist of source code editor, build automation, tools and debugger.
Due to versatility of software in support in supporting multiple Arduino board and also providing multiple libraries to help interface with countless premade modules, Arduino IDE is best suited for the task to program the microcontroller when compared to AVR studio. The simplicity makes it easy to debug.
Operating Voltage: 5V
Input Voltage (recommended):7-12V
Input Voltage (limits): 6-20V
Digital I/O Pins: 14 (of which 6 provide PWM output)
Analog Input Pins: 6
DC Current per I/O Pin: 40 mA
Long-life: Intermttent operation over 1 million cycles with optimized brush design.
Continuous operating life of 3000 hours.
High output: High heat dissipation and heat resistance achieves higher output.
High strength: High radial load capacity due to robust construction, large diameter output shaft and ball bearings.
Low noise and increased insulation due to new resin brush holders.
Large selection of gear heads and reduction ratios are available to meet all need.
Easy to maintain.
4V to 12V
18.33 kg-cm @12V
25 to 30mm
150 160 GRAMS
L X H X W
100 X 20 X30 APPROX
Military heavy equipment for moving dirt under enemy fire, such as repairing craters in a runway or
11.1V (18650 or 3.7 lithium battery rated voltage).
Size Approx. 5×1.6×0.1 cm /1.97×0.63×0.04 inch.
Overcharge detection voltage: 4.25 to 4.36Â±0.05V.
Over-discharge detection voltage: 2.3 to 3.0VÂ±0.05V.
Maximum working current: 3A to 5A.
Transient current 4A-6A.
Short circuit protection.
Compact size and lightweight.
Operating temperature: 40~50ÂºC.
Double H-bridge Drive Chip: L298N
Logical voltage: 5V Drive voltage: 5V-35V
Logical current: 0-36mA Drive current: 2A (MAX single bridge)
Max power: 25W
Dimensions: 43 x 43 x 26mm
*Built-in 5v power supply, when the driving voltage is 7v-35v.
There are two modes of communications used in UGV:
Bluetooth communication is used for short range control of UGV as well as control camera motion.
Wi Fi communication is used to get video feed from the camera.
HARDWARE SPECIFICATIONS OF HC-05:
TYPICAL -80dBm sensitivity.
Up to +4dBm RF transmit power.
Low power 1.8V operation, 1.8 to 3.6V I/O.
UART interface with programmable baud rate.
With integrated antenna.
With edge connector.
The nuclear industry, doing work in areas with radiation levels dangerous to human workers. The centre for Engineering Systems Advanced Research (CESAR) at Oak Ridge National Laboratory (ORNL) is a major hub for DOE funded work, including the HERMIES series of mobile robots.
breaching a minefield or other barrier. The Air
Force has the lead in this area with projects such as Rapid Runway Repair.
Strong manipulators for moving and loading heavy items such as ammunition. Army Human Engineering Lab (HEL) efforts have included the Soldier-Robot Interface Program (SRIP) and the Field Material Handling Robot Technology (FMR-
Explosive ordnance disposal (EOD) -manipulators capable of dealing with packages containing suspected bombs, unexploded ordnance, etc. The Navy's EODTECHDIV has the joint services lead in this area; one project has been the Robotic Ordnance Neutralizing Device (ROND).
Rescue and fire-fighting mission can be easily handled by UGV.
Unmanned Ground Vehicle as a weapon system or weapon.
Virtual presence in dangerous environment.
Data acquisition and analysis.
Photography and entertainment.
Military application such as DRDO (Defence Research and Development Organisation).
C. Archibald, E. Millar, J.D. Anderson, J.K. Archibald, and D.J. Lee, A Simple Approach to a Vision-guided Unmanned Vehicle, SPIE Optics East, Robotics Technologies and Architectures, Intelligent Robots and Computer Vision XVIII, Boston, MA, USA, October 23- 26, 2005.
R. Cucchiara, M. Piccardi, A. Prati, and N. Scarabottolo, Real-Time Detection of Moving Vehicles, in Proceedings of the 1999 International Conference on Image Analysis and Processing, pp. 618- 623.
J. Aranda, J. Climent, and A. Grau, A FPGA Implementation of a Video Rate Multi-Rate Tracking System, in Proceedings of the 1998 Euromicro Conference, pp. 70-73.
Zhang, Y., Velinsky, S., and Feng, X. (1997), On the Tracking Control of Dierentially Steered Wheeled Mobile Robots, Journal of Dynamic Systems, Measurement and Control, 1, 455461.
Murphy, K. (1992), Navigation and Retro-traverse on a Remotely Operated Vehicle, In IEEE Sigapore International Conference on Intelligent Control and Instrumentation.
- [Asker, 1994] Asker, J.R. "NASA's Dante 2 Advances Robotics", Aviation Week and Space Technology, vol 41, 15 August 1994, p 23.
LabVIEW Interface for Arduino: https://decibel.ni.com/content/groups/labview-interface-for-arduino
By adopting a well developed architecture and adapting software and hardware created for Virtual Reality Unmanned Ground vehicles, a significant reduction in construction and integration resources can be realized.
Robotic development and integration time can be dramatically reduced by adapting robust technologies created for different families of vehicles. Typically, the expected vehicle response to a given stimulus is independent of the medium in which the vehicle is operating. Since VR-UGVs operate in an essentially two dimensional worlds (they cannot
submerge or fly) the control system rules are nearly identical, only the magnitude and direction of the response to a given situation can vary significantly. Realizing this characteristic early in the design of new vehicle types may lead to adaptation of existing vehicle systems which will reduce vehicle development time.
We consider it a great pleasure and privilege to place on record our deep sense of gratitude to all those who have helped us in carrying out this project in a successful and systematic manner. The guidance was given by our guide Mr. Divyesh Divakar, Asst.Professor, Department of Electrical and Electronics Engineering was impeccable and of vital importance. We
express our pride and pleasure in expressing our heartfelt thanks to our guide whose motivation, guidance and timely advice are the reasons behind the success of our project.
With due respect we thank Dr. Rajalakshmi Samaga B.L, Professor and Head, Department of Electrical and Electronics Engineering for her continuous support and encouragement.
We express our sincere thanks to Dr. Ganesh V Bhat, Principal, Canara Engineering College, Benjanpadav for providing the requisite facility to complete this project in the given stipulated time.
Finally, we thank our friends, parents & well wishers for providing us assistance and encouragement throughout.