scholarly journals An Automated Obstacle Detector and Path Finder Robotic Car

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Mohammad Shamiur Rahman Al Nahian ◽  
Arnab Piush Biswas
Keyword(s):  
Mobile Robot ◽  
System Support ◽  
Security Sector ◽  
Sonar Sensor ◽  
Cost Efficient ◽  
The Given

This is to present you a simple and cost-efficient obstacle detecting mobile robot. Here a controlled rotating sonar sensor has been used to measure distance.  With this robot the angular and distance values are being sampled with the system support and being simplified to get a correct way through the given algorithm. The system was implemented in C++ type Arduino coding Software. Inputting the data and processing it in Arduino; all were digitally maintained; the digital pins of Arduino were used. And the outputs were controlled by the Arduino which were pre-given. This simple, cost efficient and mostly accurate project can be used in farming as well as defense and security sector of any country.

CORRIDOR-SCENE CLASSIFYING METHODS FOR MOBILE ROBOT BASED ON MULTI-SONAR-SENSOR INFORMATION FUSION

2007 ◽  
Vol 04 (01) ◽  
pp. 15-26 ◽  
Author(s):  
XIUQING WANG ◽  
ZENG-GUANG HOU ◽  
LONG CHENG ◽  
MIN TAN ◽  
FEI ZHU
Keyword(s):  
Principal Component Analysis ◽  
Mobile Robot ◽  
Principal Component ◽  
Component Analysis ◽  
Experimental Results ◽  
Scene Analysis ◽  
Kernel Principal Component Analysis ◽  
Kernel Pca ◽  
Sonar Sensor ◽  
Pca Method

The ability of cognition and recognition for complex environment is very important for a real autonomous robot. A new scene analysis method using kernel principal component analysis (kernel-PCA) for mobile robot based on multi-sonar-ranger data fusion is put forward. The principle of classification by principal component analysis (PCA), kernel-PCA, and the BP neural network (NN) approach to extract the eigenvectors which have the largest k eigenvalues are introduced briefly. Next the details of PCA, kernel-PCA and the BP NN method applied in the corridor scene analysis and classification for the mobile robots based on sonar data are discussed and the experimental results of those methods are given. In addition, a corridor-scene-classifier based on BP NN is discussed. The experimental results using PCA, kernel-PCA and the methods based on BP neural networks (NNs) are compared and the robustness of those methods are also analyzed. Such conclusions are drawn: in corridor scene classification, the kernel-PCA method has advantage over the ordinary PCA, and the approaches based on BP NNs can also get satisfactory results. The robustness of kernel-PCA is better than that of the methods based on BP NNs.

Multipath Bayesian Map Construction Model from Sonar Data

Robotica ◽  
1996 ◽  
Vol 14 (5) ◽  
pp. 527-540 ◽  
Author(s):  
Jong Hwan Lim ◽  
Dong Woo Chof†
Keyword(s):  
Mobile Robot ◽  
Real World ◽  
Probabilistic Approach ◽  
Bayesian Reasoning ◽  
Occupancy Probability ◽  
Map Construction ◽  
Sonar Sensor ◽  
A Cell ◽  
Construction Model ◽  
Wrong Interpretation

SUMMARYA new model for the construction of a sonar map in a specular environment has been developed and implemented. In a real world, where most of the object surfaces are specular ones, a sonar sensor surfers from a multipath effect which results in a wrong interpretation of an object's location. To reduce this effect and hence to construct a reliable map of a robot's surroundings, a probabilistic approach based on Bayesian reasoning is adopted to both evaluation of object orientations and estimation of an occupancy probability of a cell by an object. The usefulness of this approach is illustrated with the results produced by our mobile robot equipped with ultrasonic sensors.

Localization and Path Planning for an Autonomous Mobile Robot Equipped with Sonar Sensor

2015 ◽  
Vol 772 ◽  
pp. 494-499 ◽  
Author(s):  
Corina Monica Pop ◽  
Gheorghe Leonte Mogan ◽  
Mihail Neagu
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Mobile Robotics ◽  
Planning Process ◽  
Autonomous Mobile Robot ◽  
Sonar Sensors ◽  
Sonar Sensor ◽  
Simulation Results ◽  
Effectiveness And Efficiency ◽  
Global Trajectory

In the field of mobile robotics, the process of robot localization and global trajectory planning in robot operating scenes, that are completely or partially known, represents one of the main issues that are essential for providing the desired robot functionality. This paper introduces the basic elements of path planning for an autonomous mobile robot equipped with sonar sensors, operating in a static environment. The path planning process is initially performed by using a known map. Next, the sonar sensors are used to localize the robot, based on obstacle avoidance techniques. The effectiveness and efficiency of the algorithm proposed in this paper is demonstrated by the simulation results.

scholarly journals The effects of digital media buying on advertisers

2020 ◽  
Vol 25 (1) ◽  
pp. 279-291
Author(s):  
Lejla Šehić ◽  
Almir Peštek
Keyword(s):  
Digital Media ◽  
Bosnia And Herzegovina ◽  
Successful Implementation ◽  
Media Usage ◽  
The Media ◽  
Cost Efficient ◽  
The Cost ◽  
The Given ◽  
Depth Interviews ◽  
Research Analysis

Although the Internet has become the essence of communication, from an advertiser’s perspective digital advertising remains underexplored. This paper examines the effects of digital media buying efforts on advertisers in Bosnia and Herzegovina, while looking into the methodology of digital media usage behind the actual effects. A combination of secondary research analysis and qualitative research techniques was used. The empirical part is based on in-depth interviews with advertisers and representatives from the digital advertising industry.Perceptions and knowledge of digital advertising are the key drivers for a successful implementation of digital media buying, and advertisers in Bosnia and Herzegovina are aware of its most distinctive qualities. The success of the media buying campaigns relies on brand objectives and choosing the means suited for fulfilling the given goals, which in turn leads to the findings that the focus of companies’ strategies is directed towards the cost-efficient medium usage, rather than solely performance-oriented ones. Measurement of the effects and return on the investment depends on the success of setting up a goal and isolating digital from other marketing efforts.

Removal of sonar wave interference in multi-robot system for the efficient SLAM by randomized triggering time technique

2020 ◽  
Vol 17 (4) ◽  
pp. 535-542
Author(s):  
Ravinder Singh ◽  
Akshay Katyal ◽  
Mukesh Kumar ◽  
Kirti Singh ◽  
Deepak Bhola
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Cross Talk ◽  
Autonomous Navigation ◽  
Content Type ◽  
Occupancy Grid ◽  
Grid Map ◽  
Wave Interference ◽  
Sonar Sensor ◽  
Occupancy Grid Map

Purpose Sonar sensor-based mobile robot mapping is an efficient and low cost technique for the application such as localization, autonomous navigation, SLAM and path planning. In multi-robots system, numbers of sonar sensors are used and the sound waves from sonar are interacting with the sound wave of other sonar causes wave interference. Because of wave interference, the generated sonar grid maps get distorted which resulted in decreasing the reliability of mobile robot’s navigation in the generated grid maps. This research study focus in removing the effect of wave interfaces in the sonar mapping to achieve robust navigation of mobile robot. Design/methodology/approach The wrong perception (occupancy grid map) of the environment due to cross talk/wave interference is eliminated by randomized the triggering time of sonar by varying the delay/sleep time of each sonar sensor. A software-based approach randomized triggering technique (RTT) is design in laboratory virtual instrument engineering workbench (LabVIEW) that randomized the triggering time of the sonar sensor to eliminate the effect of wave interference/cross talk when multiple sonar are placed in face-forward directions. Findings To check the reliability of the RTT technique, various real-world experiments are perform and it is experimentally obtained that 64.8% improvement in terms of probabilities in the generated occupancy grid map has been attained when compared with the conventional approaches. Originality/value This proposed RTT technique maybe implementing for SLAM, reliable autonomous navigation, optimal path planning, efficient robotics vision, consistent multi-robotic system, etc.

Efficient Development and Execution of Adaptable Online Games on Clouds

2017 ◽  
pp. 25-66
Author(s):  
Dominik Meiländer ◽  
Sergei Gorlatch
Keyword(s):  
Cloud Computing ◽  
Management System ◽  
Online Games ◽  
System Support ◽  
Infrastructure As A Service ◽  
Resource Management System ◽  
Multiplayer Online Games ◽  
On Demand ◽  
Lifecycle Model ◽  
Cost Efficient

Massively Multiplayer Online Games (MMOG) are a challenging class of applications: they combine high demands on real-time user interactivity and adaptability with the problem of an efficient and economic utilization of resources for the dynamically changing number of users. This chapter studies how MMOG can benefit from Cloud Computing with its Infrastructure-as-a-Service (IaaS) approach to cost-efficient leasing resources on demand. The chapter makes two major contributions: (1) a new lifecycle model for the development of adaptable MMOG expresses major design and execution aspects of Cloud-based MMOG, and (2) a resource management system RTF-RMS implements efficient load balancing for MMOG on Clouds. The authors illustrate how their lifecycle model and RTF-RMS system support the efficient development and execution of adaptable MMOG on Clouds and demonstrate the advantages of their approach in an experimental evaluation.

Mobile Robots Navigation, Mapping, and Localization Part I

2011 ◽  
pp. 1072-1079
Author(s):  
Lee Gim Hee ◽  
Marcelo H. Ang Jr.
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Material Handling ◽  
Robot Navigation ◽  
Emerging Market ◽  
Autonomous Mobile Robots ◽  
Mobile Robot Navigation ◽  
The Military ◽  
The Given ◽  
Fundamental Requirement

The development of autonomous mobile robots is continuously gaining importance particularly in the military for surveillance as well as in industry for inspection and material handling tasks. Another emerging market with enormous potential is mobile robots for entertainment. A fundamental requirement for autonomous mobile robots in most of its applications is the ability to navigate from a point of origin to a given goal. The mobile robot must be able to generate a collision-free path that connects the point of origin and the given goal. Some of the key algorithms for mobile robot navigation will be discussed in this article.

Scan Matching for Navigation of a Mobile Robot in Semi-Structured Terrain Conditions

2021 ◽  
Vol 22 (5) ◽  
pp. 246-253
Author(s):  
N. A. Buzlov
Keyword(s):  
Mobile Robot ◽  
Laser Scanning ◽  
Mutual Influence ◽  
Satellite Communications ◽  
Operating Conditions ◽  
Scan Matching ◽  
Position And Orientation ◽  
Autonomous Movement ◽  
The Given

To ensure unmanned autonomous movement of ground robotic means, it is required to accurately determine the position and orientation of the robot. The present study is related to the estimation of coordinates by comparing the scans of a laser scanning rangefinder in conditions of semi-structed infrastructure and the absence of a global satellite communications signal. The existing methods of comparing scans have significant drawbacks in the conditions of movement over a semi-structured terrain, associated both with the processing time of data from the laser scanning rangefinder, and with the quality of the results obtained. The scan is preliminarily placed in a map consisting of cells. Each cell of around point scan is described by forces represented by the laws of physics or probability theory. In the cells of the map, we take into account the mutual influence of all forces from each point of the scan and thus we obtain the resulting artificial potential field of the scan. The position of the robot is estimated by the change in the number of acting forces of one scan per points of the next scan taking into account their direction. We estimate the orientation of the robot based on the sum of the vector products of the forces and distances to the given forces acting on the points of the next scan. This method allows you to calculate the displacement of the robot between scans regardless of road conditions and terrain. This article presents the results of an experimental verification of the method on a mock-up of a mobile robot equipped with a Velodyne HDL-32 LIDAR. We indicate the operating conditions of the method for a given LIDAR, as well as the time spent on calculating the bias estimate. Given the peculiarities of the LIDAR, we present a method for eliminating the Doppler Effect (distortion) for the original point cloud. A comparative analysis of the developed method for integrating wheel odometry data, inertial and satellite navigation using the Extended Kalman Filter shows the applicability of this method to assess the position and orientation of the robot in conditions of its movement over rough terrain.

Person Following of a Mobile Robot based on the Fusion of Camera and Sonar Sensor

2016 ◽  
Vol 2016 (0) ◽  
pp. 502
Author(s):  
Kaoru SAITO ◽  
Shinsuke OH-HARA ◽  
ATSUSHI Fujimori
Keyword(s):  
Mobile Robot ◽  
Person Following ◽  
Sonar Sensor
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