scholarly journals Development of a Portable IP-Based Remote Controlled System for Mobile Robot

2021 ◽  
pp. 21-33
Author(s):  
Daramola O. A. ◽  
Obe O. O. ◽  
Oriolowo A.
Keyword(s):  
Remote Control ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Controlled System ◽  
Loosely Coupled ◽  
Control Interface ◽  
Working Together ◽  
High Degree ◽  
To Receive ◽  
Robot Platform

The use of Mobile Robots to interact with objects in remote locations has proved to be useful in areas not easily accessible or too dangerous for humans. Various means have been used to remotely operate or control Mobile Robots. These range from wired connection to Wireless connection like radio frequency signal and more recently internet controlled Mobile Robot using the TCP/IP protocol stack. However, the problem of remote control dependence on the Mobile Robot Platform or configuration has made it difficult to switch controllers between Mobile Robots. In this work, a portable IP based remote control system has been designed and implemented to remove the constraint imposed by the Mobile Robot's platform in choosing the control interface. The system developed was built on three loosely coupled components working together to ensure a high degree of Control interface portability. The Mobile Robot Gateway component was used to receive and send data from the Mobile Robot.

Design and Realization of 2-Dimensional Optical Range Sensor for Environment Recognition in Mobile Robots

2005 ◽  
Vol 17 (2) ◽  
pp. 116-120 ◽  
Author(s):  
Hirohiko Kawata ◽  
◽  
Toshihiro Mori ◽  
Shin’ichi Yuta ◽  
Keyword(s):  
High Resolution ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Amplitude Modulation ◽  
Low Power Consumption ◽  
Optical Range ◽  
Laser Range ◽  
Range Sensor ◽  
Environment Recognition ◽  
Robot Platform

We developed a 2-D laser range sensor suitable for different mobile robot platform sizes. The sensor features compactness, lightweight, high precision and low power consumption and has wide scan angle with high resolution essential for environment recognition in mobile robots. The principle applied to calculate the distance between the sensor and the object involves, applying amplitude modulation to the wave of light and detecting the phase difference between transmitted and received light. In this paper we explain the sensor specifications, the principle of distance measurement and experimental results.

scholarly journals A Distributed Vision-Based Navigation System for Khepera IV Mobile Robots

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5409
Author(s):  
Gonzalo Farias ◽  
Ernesto Fabregas ◽  
Enrique Torres ◽  
Gaëtan Bricas ◽  
Sebastián Dormido-Canto ◽  
...  
Keyword(s):  
Object Recognition ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Navigation System ◽  
Autonomous System ◽  
Traffic Signals ◽  
Vision Based Navigation ◽  
Vision Algorithm ◽  
Distributed Vision ◽  
Robot Platform

This work presents the development and implementation of a distributed navigation system based on object recognition algorithms. The main goal is to introduce advanced algorithms for image processing and artificial intelligence techniques for teaching control of mobile robots. The autonomous system consists of a wheeled mobile robot with an integrated color camera. The robot navigates through a laboratory scenario where the track and several traffic signals must be detected and recognized by using the images acquired with its on-board camera. The images are sent to a computer server that performs a computer vision algorithm to recognize the objects. The computer calculates the corresponding speeds of the robot according to the object detected. The speeds are sent back to the robot, which acts to carry out the corresponding manoeuvre. Three different algorithms have been tested in simulation and a practical mobile robot laboratory. The results show an average of 84% success rate for object recognition in experiments with the real mobile robot platform.

A Study of Robot Platform Based on WiFi Remote Control

2013 ◽  
Vol 418 ◽  
pp. 20-24
Author(s):  
Yu Zhen Yang ◽  
Chang Sheng Ai ◽  
Kevin Lee
Keyword(s):  
Remote Control ◽  
Mobile Robot ◽  
Real Time ◽  
Data Communication ◽  
Wheel Drive ◽  
Control Terminal ◽  
Four Wheel Drive ◽  
And Control ◽  
Network Camera ◽  
Robot Platform

In order to complete the complex operation in the dangerous environment and improve the efficiency and accuracy of industrial production. WiFi based remote control system platform is composed by the controlled mobile robot and control terminal such as PC. They communicate with each other through wireless network. The mobile robot constructs of four wheel drive. Microcontroller, sensor, wireless routing module, serial server and network camera are in the robot. Control terminal includes PC, control handle and other equipments. Using a proven and reliable wireless bridge, each network device can realize network communication with others. Based on the TCP/IP protocol, using socket programming technology, data communication can be achieved. Video capture uses the network camera. Through the test of the platform, bilateral operation with real-time haptic and video feedback are achieved. At the same time according to the real-time environmental information feedback, control terminal realizes the effective remote monitoring in the controlled end.

scholarly journals Intelligent wheeled mobile robot navigation

2010 ◽  
Vol 5 (1-2) ◽  
pp. 258-264
Author(s):  
Gyula Mester
Keyword(s):  
Remote Control ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Wireless Sensor ◽  
Mobile Robot Navigation ◽  
Robot Motion ◽  
The Sun ◽  
Velocity Control ◽  
Unknown Environment ◽  
Navigation Strategy

The paper deals with the wireless sensor-based remote control of mobile robots motion in an unknown environment with obstacles using the Sun SPOT technology and gives the fuzzy velocity control of a mobile robot motion in an unknown environment with obstacles. When the vehicle is moving towards the target and the sensors detect an obstacle, an avoiding strategy and velocity control are necessary. We proposed the wireless sensor-based remote control of mobile robots motion in an unknown environment with obstacles using the Sun SPOT technology and a fuzzy reactive navigation strategy of collision-free motion and velocity control in an unknown environment with obstacles. The simulation results show the effectiveness and the validity of the obstacle avoidance behavior in an unknown environment. The proposed method have been implemented on the miniature mobile robot Khepera® that is equipped with sensors.

Parking Control of Mixed Conventional/Braking Actuation Mobile Robots Using Fuzzy Logic Control

2016 ◽  
Author(s):  
Walelign M. Nikshi ◽  
Mark D. Bedillion ◽  
Randy C. Hoover
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Fuzzy Logic Controller ◽  
Initial Conditions ◽  
Robot System ◽  
Logic Control ◽  
The Common ◽  
Actuation Systems ◽  
Robot Platform

In this paper a new mobile robot system, the mixed conventional/braking actuation mobile robot (MAMR), is introduced. Various actuation systems exist for mobile robots such as differential drive with motor-driven wheels, legged mechanisms, and others. The common characteristics of all those actuation systems is the use of conventional motors to move each degree of freedom. Robots with such actuation systems are generally complex, heavy, and expensive. This paper uses brakes in combination with conventional actuators to tackle those drawbacks. In this study, some of the conventional actuators are replaced by brakes resulting a new mobile robot platform. Two states of brakes (i.e. ON/OFF) which are obtained by assuming Coulomb friction at the brake are considered. This paper discusses the dynamics and parking control of such a robot using a fuzzy logic controller. Several Matlab/Simulink simulations with different initial conditions are done to show the effectiveness of the proposed controller.

Design of Mobile Robot Remote Control

2014 ◽  
Vol 1030-1032 ◽  
pp. 1453-1456
Author(s):  
Ming Ming Bian ◽  
Li Jian Zhang ◽  
Lin Lin Bian
Keyword(s):  
Remote Control ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Programming Language ◽  
Communication Protocol ◽  
Host Computer ◽  
Control Technology ◽  
Control Command ◽  
Robot Body

With the application of mobile robot in the industry, put forward higher requirements to the computer remote control technology. Remote control for mobile robots, the communication protocol between the host computer and the robot body and the control command design is presented in this paper. Visual C++ 6 programming language is used to complete the system. Dependability and practicability of system are proved by test.

scholarly journals Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots

2021 ◽  
Author(s):  
Daniel Habering ◽  
Till Hofmann ◽  
Gerhard Lakemeyer
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Physical World ◽  
State Machines ◽  
Plan Execution ◽  
Hardware Failure ◽  
World State ◽  
Novel Approach ◽  
Planning Approach ◽  
Robot Platform

Plan execution on a mobile robot is inherently error-prone, as the robot needs to act in a physical world which can never be completely controlled by the robot. If an error occurs during execution, the true world state is unknown, as a failure may have unobservable consequences. One approach to deal with such failures is diagnosis, where the true world state is determined by identifying a set of faults based on sensed observations. In this paper, we present a novel approach to explanatory diagnosis, based on the assumption that most failures occur due to some robot hardware failure. We model the robot platform components with state machines and formulate action variants for the robots' actions, modelling different fault modes. We apply diagnosis as planning with a top-k planning approach to determine possible diagnosis candidates and then use active diagnosis to find out which of those candidates is the true diagnosis. Finally, based on the platform model, we recover from the occurred failure such that the robot can continue to operate. We evaluate our approach in a logistics robots scenario by comparing it to having no diagnosis and diagnosis without platform models, showing a significant improvement to both alternatives.

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