Design and development of remote-operated multi-direction Unmanned Ground Vehicle (UGV)

Noor, Mohd Halim Mohd; Zain, Syed; Mazalan, Lucyantie

doi:10.1109/icsengt.2013.6650168

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…A gaming controller can be connected to a microcontroller in order to remotely control the mobile platform. Figure 5 [5] shows an example of this kind of solution. It is almost the same solution described in the last paragraph.…”

Section: State Of the Artmentioning

confidence: 99%

Remote Control System for a Mobile Platform With Four Mecanum Wheels

2017

IJOMAM

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-Providing the industry with efficient transportation systems is of utmost importance and academic research on this topic deserves encouragement from governmental institutions. In many workplaces the space is reduced. Ensuring the required manoeuvrability of mobile platforms inside such environments is quite a challenge. Anthropomorphic robots are not a viable option in most situations. Usually, mobile platforms -including mobile robots -with wheels are the most cost effective option, but the use of traditional steering systems leads to severe constraints regarding freedom of movements. The use of omnidirectional steering systems allows overcoming this limitation. Since its invention, Mecanum wheels have been used on various mobile platforms, including Automatic Guided Vehicles (AGV), enabling them to perform omnidirectional movements. This paper describes a robust, intuitive and functional remote control system for a mobile platform with four Mecanum wheels, capable of performing rotation movements, translation movements and movements resulting from simultaneous rotation and translation. The system was designed in order to maximize the freedom of movements of the platform. A graphical interface for monitoring several parameters inherent to the operation of the platform is also presented.

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Section: State Of the Artmentioning

confidence: 99%

Remote Control System for a Mobile Platform With Four Mecanum Wheels

2017

IJOMAM

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“…The performance of proposed control was verified experimentally by six-wheeled mobile robot platform. M. Noor et al [4] developed a remote-operated multi-directional UGV. PIC microcontroller and Xbee Pro as transceivers were used to make a UGV prototype to verify the moving ability of the proposed UGV via actual practice.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Navigation Control System for Unmanned Ground Vehicles

Khalil¹,

Hegazy²,

Roheim³

et al. 2016

The International Conference on Applied Mechanics and Mechanica

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This paper presents the design and implementation of a navigation control system for Unmanned Ground Vehicles (UGV). Three actuators for steering system, speed control and braking systems are designed and implemented to convert an electric car to be unmanned vehicle. A mathematical model for Ackerman steering is modeled and simulated using MATLAB/SIMULINK. The concept of structure of the system and the modularity and redundancy of the implemented control algorithms are emphasized during system development. The proposed navigation system includes longitudinal control and lateral control. Longitudinal control is responsible for controlling the speed of the vehicle through the accelerator actuator. Lateral control is responsible for controlling the direction by using steering motor. The proposed navigation control system is implemented based on GPS with an integrated digital compass. The distance error of the vehicle position is calculated according to vehicle heading. Of coarse the simulation path from simulation results, is coincident on the required path. Form experimental testing results there are good correlations for actual and required navigation between two points, three points and four points. There is a little difference between actual vehicle path and required path. This is due to using commercial (low-cost) sensors and actuators. The significance of this work is in the understanding of the transition from theory to practice and to integrate the necessary technology for local manufacturing of these types of vehicles. KEY WORDSElectric Vehicle, Unmanned Ground Vehicle (UGV), bicycle model and GPS, Navigation Control.

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“…The most common and intuitive ways of controlling the movements of mobile robots use pedals, steering wheels or joysticks, among others [2]. These solutions are very robust and reliable but not generic.…”

Section: Introductionmentioning

confidence: 99%

Mobile Platform Motion Control System Based on Human Gestures

2017

IJOMAM

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-Controllers based on human gestures recognition may be a suitable and user-friendly solution for the interaction between machines and humans. The academic research on this topic may benefit the industry and the society in general, deserving a proper support from governmental institutions. A challenging field of application of such systems is the control of mobile platforms. Traditional mobile platform controllers may be limitative regarding freedom of movements and are inadequate in some applications. Mobile platforms with four Mecanum wheels allow the improvement of pre-existing solutions, such as wheelchairs or forklifts, endowing them with higher manoeuvrability, but they require a complex motion control because of the wide variety of movements allowed. The control of all possible movements of such a platform cannot be achieved with a simple joystick or steering wheel. This paper describes a motion control system for a mobile platform with four Mecanum wheels. The system is based on hand tracking and gestures recognition using an Intel RealSense 3D sensor.

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Design and development of remote-operated multi-direction Unmanned Ground Vehicle (UGV)

Cited by 9 publications

References 2 publications

Remote Control System for a Mobile Platform With Four Mecanum Wheels

Remote Control System for a Mobile Platform With Four Mecanum Wheels

Design and Implementation of Navigation Control System for Unmanned Ground Vehicles

Mobile Platform Motion Control System Based on Human Gestures

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