Autonomous Navigation of Mobile Robot Based on Flood Fill Algorithm

2016 ◽  
Vol 12 (1) ◽  
pp. 79-84 ◽  
Author(s):  
Ayad Jabbar
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Video Streaming ◽  
High Precision ◽  
Autonomous Navigation ◽  
Human Interaction ◽  
Live Video ◽  
Point To Point ◽  
Flood Fill ◽  
Client Device

The autonomous navigation of robots is an important area of research. It can intelligently navigate itself from source to target within an environment without human interaction. Recently, algorithms and techniques have been made and developed to improve the performance of robots. It’s more effective and has high precision tasks than before. This work proposed to solve a maze using a Flood fill algorithm based on real time camera monitoring the movement on its environment. Live video streaming sends an obtained data to be processed by the server. The server sends back the information to the robot via wireless radio. The robot works as a client device moves from point to point depends on server information. Using camera in this work allows voiding great time that needs it to indicate the route by the robot.

The Mobile Robot Navigation System Design Based on GPS and GIS

2012 ◽  
Vol 241-244 ◽  
pp. 1918-1921 ◽  
Author(s):  
Dang Hui Yan ◽  
De An Zhao ◽  
Hui Liang Shen
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
High Precision ◽  
Navigation System ◽  
Autonomous Navigation ◽  
Path Tracking ◽  
Mobile Robot Navigation ◽  
Dual Frequency ◽  
Wheel Drive ◽  
Rtk Gps

The paper develops an autonomous navigation system with Visual C++ 6.0, combining all-terrain and all-weather mobile robot platform with the high-precision dual-frequency RTK-GPS. The intelligent mobile robot achieves autonomous navigation control. Owing to the four-wheel drive, path tracking is better implemented; Owing to the use of high-precision GPS, position locating is more accurate; Owing to the multithreaded design of the program, real-time requirements of the navigation is better achieved; By the way of map matching of GIS, the path tracking is real-time and the navigation of the robot is more visual and intuitive. The result of experiment shows that this navigation system can meet the requirements of accuracy and real-time and complete the navigation task very well.

scholarly journals New Approaches of Cloud Services Access using Tonido Cloud Server for Real-Time Applications

2020 ◽  
Vol 26 (8) ◽  
pp. 83-99
Author(s):  
Sarah Haider Abdulredah ◽  
Dheyaa Jasim Kadhim
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Wireless Lan ◽  
Cloud Services ◽  
Heavy Load ◽  
Live Video ◽  
Live Video Streaming ◽  
Internet Connection ◽  
Cloud Server ◽  
Real Time Applications

A Tonido cloud server provides a private cloud storage solution and synchronizes customers and employees with the required cloud services over the enterprise. Generally, access to any cloud services by users is via the Internet connection, which can face some problems, and then users may encounter in accessing these services due to a weak Internet connection or heavy load sometimes especially with live video streaming applications overcloud. In this work, flexible and inexpensive proposed accessing methods are submitted and implemented concerning real-time applications that enable users to access cloud services locally and regionally. Practically, to simulate our network connection, we proposed to use the Raspberry-pi3 model B+ as a router wireless LAN (WLAN) that enables users to have the cloud services using different access approaches such as wireless and wireline connections. As a case study for a real-time application over the cloud server, it is suggested to do a live video streaming using an IP webcam and IVIDEON cloud where the streaming video can be accessed via the cloud server at any time with different users taking into account the proposed practical connections. Practical experiments showed and proved that accessing real-time applications of cloud services via wireline and wireless connections is improved by using Tonido cloud server's facilities.

Navigation of a wheeled mobile robotic agent using modified grey wolf optimization controller

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chittaranjan Paital ◽  
Saroj Kumar ◽  
Manoj Kumar Muni ◽  
Dayal R. Parhi ◽  
Prasant Ranjan Dhal
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Real Time ◽  
Autonomous Navigation ◽  
Simulation Software ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Content Type ◽  
Cluttered Environment

PurposeSmooth and autonomous navigation of mobile robot in a cluttered environment is the main purpose of proposed technique. That includes localization and path planning of mobile robot. These are important aspects of the mobile robot during autonomous navigation in any workspace. Navigation of mobile robots includes reaching the target from the start point by avoiding obstacles in a static or dynamic environment. Several techniques have already been proposed by the researchers concerning navigational problems of the mobile robot still no one confirms the navigating path is optimal.Design/methodology/approachTherefore, the modified grey wolf optimization (GWO) controller is designed for autonomous navigation, which is one of the intelligent techniques for autonomous navigation of wheeled mobile robot (WMR). GWO is a nature-inspired algorithm, which mainly mimics the social hierarchy and hunting behavior of wolf in nature. It is modified to define the optimal positions and better control over the robot. The motion from the source to target in the highly cluttered environment by negotiating obstacles. The controller is authenticated by the approach of V-REP simulation software platform coupled with real-time experiment in the laboratory by using Khepera-III robot.FindingsDuring experiments, it is observed that the proposed technique is much efficient in motion control and path planning as the robot reaches its target position without any collision during its movement. Further the simulation through V-REP and real-time experimental results are recorded and compared against each corresponding results, and it can be seen that the results have good agreement as the deviation in the results is approximately 5% which is an acceptable range of deviation in motion planning. Both the results such as path length and time taken to reach the target is recorded and shown in respective tables.Originality/valueAfter literature survey, it may be said that most of the approach is implemented on either mathematical convergence or in mobile robot, but real-time experimental authentication is not obtained. With a lack of clear evidence regarding use of MGWO (modified grey wolf optimization) controller for navigation of mobile robots in both the environment, such as in simulation platform and real-time experimental platforms, this work would serve as a guiding link for use of similar approaches in other forms of robots.

A Human-Inspired Method for Point-to-Point and Path-Following Navigation of Mobile Robots

2015 ◽  
Vol 7 (4) ◽  
Author(s):  
F. Heidari ◽  
R. Fotouhi
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Path Following ◽  
Obstacle Detection ◽  
Wheeled Mobile Robot ◽  
Sensor Data ◽  
Integrated Navigation ◽  
Fully Integrated ◽  
Point Motion ◽  
Point To Point

This paper describes a human-inspired method (HIM) and a fully integrated navigation strategy for a wheeled mobile robot in an outdoor farm setting. The proposed strategy is composed of four main actions: sensor data analysis, obstacle detection, obstacle avoidance, and goal seeking. Using these actions, the navigation approach is capable of autonomous row-detection, row-following, and path planning motion in outdoor settings. In order to drive the robot in off-road terrain, it must detect holes or ground depressions (negative obstacles) that are inherent parts of these environments, in real-time at a safe distance from the robot. Key originalities of the proposed approach are its capability to accurately detect both positive (over ground) and negative obstacles, and accurately identify the end of the rows of bushes (e.g., in a farm) and enter the next row. Experimental evaluations were carried out using a differential wheeled mobile robot in different settings. The robot, used for experiments, utilizes a tilting unit, which carries a laser range finder (LRF) to detect objects, and a real-time kinematics differential global positioning system (RTK-DGPS) unit for localization. Experiments demonstrate that the proposed technique is capable of successfully detecting and following rows (path following) as well as robust navigation of the robot for point-to-point motion control.

scholarly journals A Real Time Lane Detection Algorithm Using LRF for Autonomous Navigation of a Mobile Robot

2013 ◽  
Vol 19 (11) ◽  
pp. 1029-1035 ◽  
Author(s):  
Hyun Woo Kim ◽  
Yo-Seup Hawng ◽  
Yun-Ki Kim ◽  
Dong-Hyuk Lee ◽  
Jang-Myung Lee
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Autonomous Navigation ◽  
Detection Algorithm ◽  
Lane Detection

ReCLive: Real-Time Classification and QoE Inference of Live Video Streaming Services

2021 ◽  
Author(s):  
Sharat Chandra Madanapalli ◽  
Alex Mathai ◽  
Hassan Habibi Gharakheili ◽  
Vijay Sivaraman
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Live Video ◽  
Live Video Streaming ◽  
Streaming Services ◽  
Real Time Classification
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