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Visual Path Planning by a Mobile Robot

Saburo Tsuji, Jiang Yu Zheng
1987 International Joint Conference on Artificial Intelligence  
for each function of robots such as path planning or manipulation.  ...  A method for planning of promising paths to the specified goal using this representation is presented.  ...  CONCLUSION In this paper, we examine problems of world modelling and path planning which must be solved by a mobile robot exploring an unknown environment.  ... 
dblp:conf/ijcai/TsujiZ87 fatcat:akgk4p5vunauxijatzgdjdm7da

Cooperative Path Planning for Multiple Mobile Robots via HAFSA and an Expansion Logic Strategy

Yiqing Huang, Zhikun Li, Yan Jiang, Lu Cheng
2019 Applied Sciences  
Finally, using STDR (simple two dimensional robot simulator) and RVIZ (robot operating system visualizer), a multiple mobile robot simulation platform was designed to verify the presented real-time navigation  ...  The cooperative path planning problem of multiple mobile robots in an unknown indoor environment is considered in this article.  ...  planning for a single mobile robot.  ... 
doi:10.3390/app9040672 fatcat:avvtq54zbff43fuwm7sj2ujtua

MGRO Recognition Algorithm-Based Artificial Potential Field for Mobile Robot Navigation

Ming Pang, Zhankai Meng, Wenbo Zhang, Changhai Ru
2016 Journal of Sensors  
The approach includes obstacle visual recognition and navigation path planning. In the first part, a three-stage method for obstacle visual recognition is constructed.  ...  This paper describes a novel recognition algorithm which includes mean filter, Gaussian filter, Retinex enhancement method, and Ostu threshold segmentation method (MGRO) for the navigation of mobile robots  ...  by using path planning algorithms [5] [6] [7] .  ... 
doi:10.1155/2016/1959160 fatcat:xpdwygkipbfofbnzdsh73tbxpq

Stereo-based visual navigation of mobile robots in unknown environments

H. Soltani, H. D. Taghirad, A.R. Norouzzadeh Ravari
2012 20th Iranian Conference on Electrical Engineering (ICEE2012)  
A * algorithm is used for investigating optimal path and nonlinear back-stepping controller guides the robot to follow the identified path.  ...  The algorithm is solely based on stereo images and implemented on a nonholonomic mobile robot.  ...  Mobile Robot Navigation Path Planning After accessing the information of environment and building its map, we should find an optimal path for guiding the mobile robot toward its goal.  ... 
doi:10.1109/iraniancee.2012.6292489 fatcat:fz5b3mq34jb3jea7qfgl6ovlpy

Visual-Servoing Based Global Path Planning Using Interval Type-2 Fuzzy Logic Control

Mahmut Dirik, Oscar Castillo, Adnan Fatih Kocamaz
2019 Axioms  
We deal with a visual-servoing based technique for obstacle-free path planning. It is necessary to determine the location of a mobile robot in an environment surrounding the robot.  ...  In this paper, we propose a mobile robot path planning method in the visualize plane using an overhead camera based on interval type-2 fuzzy logic (IT2FIS).  ...  Path planning is critically important for a mobile robot to be able to carry out its assigned task.  ... 
doi:10.3390/axioms8020058 fatcat:iuejav6ezzcu3anowdo4rydnyu

Efficient Local Path Planning Algorithm Using Artificial Potential Field Supported by Augmented Reality

Rafal Szczepanski, Artur Bereit, Tomasz Tarczewski
2021 Energies  
This method was experimentally verified using a Husarion ROSbot 2.0 PRO mobile robot and Robot Operating System in a laboratory environment.  ...  The Artificial Potential Field algorithm, which is a local path planning algorithm, has been previously modified to obtain higher smoothness of path, to solve the stagnation problem and to jump off the  ...  In [12] , local path planning of a mobile robot using a novel grid-based potential method was proposed. The generated repulsion field causes a mobile robot to escape from the local minimum.  ... 
doi:10.3390/en14206642 fatcat:gt65xutmyzbb3lm5hn54vzkq5y

Reliable Navigation Planning Implementation on a Two-Wheeled Mobile Robot

Pierre-Andre Crepon, Adina Marlena Panchea, Alexandre Chapoutot
2018 2018 Second IEEE International Conference on Robotic Computing (IRC)  
This study aims at dealing with this kind of problems when implementing on a two wheeled mobile robot.  ...  Autonomous mobile robots must be equipped with appropriate planification and control navigation systems in order to obtain robust behaviours.  ...  ACKNOWLEDGMENT This work was supported by DGA MRIS.  ... 
doi:10.1109/irc.2018.00035 dblp:conf/irc/CreponPC18 fatcat:uu74g7erjrcyvelovea4wzo4tq

Challenges and Solutions for Autonomous Robotic Mobile Manipulation for Outdoor Sample Collection

Lei Cui
2015 Journal Electrical and Electronic Engineering  
using global navigation satellite system (GNSS), vision-based navigation and visual servoing, robotic manipulation, mobile robot path planning and control.  ...  This paper reviewed the various challenges in sample collection in terms of navigation of the mobile platform and manipulation of the robotic arm from four aspects, namely mobile robot positioning/attitude  ...  Mobile Robot Path Planning and Control Path Following of Holonomic and Noholonomic Mobile Platforms As discussed in Section 1, the autonomous mobile manipulator consists of a manipulator mounted on a  ... 
doi:10.11648/j.jeee.20150305.20 fatcat:ssn7fk2dqnajxaczt77xg4dfre

Implementation of Fuzzy Decision Based Mobile Robot Navigation Using Stereo Vision

Khalid Al-Mutib, Ebrahim Mattar, Mansour Alsulaiman
2015 Procedia Computer Science  
Autonomous navigation was further validated and verified on a mobile robot platform.  ...  In this article, we discuss implementation phases for an autonomous navigation of a mobile robotic system using SLAM gathered data, while relying on the features of learned navigation maps.  ...  Acknowledgements The research is financed by: NPST program, King Saud University. No. (08-ELE200-02). Kingdom of Saudi Arabia.  ... 
doi:10.1016/j.procs.2015.08.427 fatcat:egkqnbrxsfg3ri3tm2tm667fya

Robot visual navigation estimation and target localization based on neural network

Yanping Zhao, Rajeev Kumar Gupta, Edeh Michael Onyema
2022 Paladyn: Journal of Behavioral Robotics  
To overcome these problems, a mobile robot path planning navigation system based on panoramic vision was proposed. This method first describes the structure and functions of the navigation system.  ...  taken by the robot.  ...  Traditional path planning methods, such as artificial potential field method, realize the path planning of mobile robots by forming virtual repulsive force by obstacles and virtual gravitation force by  ... 
doi:10.1515/pjbr-2022-0005 fatcat:wn6iu5xt3femjhwxuorim4rxga

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ben Beklisi Kwame Ayawli, Ryad Chellali, Albert Yaw Appiah, Frimpong Kyeremeh
2018 Journal of Advanced Transportation  
This paper presents an overview of nature-inspired, conventional, and hybrid path planning strategies employed by researchers over the years for mobile robot path planning problem.  ...  There are countless research contributions from researchers aiming at finding solution to autonomous mobile robot path planning problems.  ...  A visual-based approach using a camera and a range sensor was presented in [286] by combining APF, redundancy and visual servoing to deal with path planning and obstacle avoidance problem of mobile robots  ... 
doi:10.1155/2018/8269698 fatcat:fpadrzacozbdnkcqkjduokmoc4

Çok Kameralı Görü Tabanlı Mobil Robot Kontrolü ve Yol Planlaması

2021 European Journal of Science and Technology  
Visual-based controlling concerns how to manage a robot by using image-based features obtained from imaging devices.  ...  In the next step, to obtain a feasible and safe path plan between target and robot, an adaptive potential field algorithm is performed.  ...  The acquired path plan has been used as a reference path which has to be followed by the mobile robot. Eventually, the mobile robot has smoothly tracked the input path plan.  ... 
doi:10.31590/ejosat.950375 fatcat:2534gc5iavb7dnrlkw6kh2y4ty

A distributed robotic vision service

William Chamberlain, Jurgen Leitner, Tom Drummond, Peter Corke
2016 2016 IEEE International Conference on Robotics and Automation (ICRA)  
Tested over two different indoor path planning tasks DRVS showed dramatic reduction in mobile robot compute load and wireless network utilization.  ...  This paper applies the Distributed Robotic Vision Service, DRVS, to robot path planning using data outside line-of-sight of the robot.  ...  ACKNOWLEDGMENTS This research was supported by the Australian Research Council Centre of Excellence for Robotic Vision (project number CE140100016).  ... 
doi:10.1109/icra.2016.7487403 dblp:conf/icra/ChamberlainLDC16 fatcat:2btxkznzibfozltyjbb74ml67u

Path planning for image-based control of wheeled mobile manipulators

Moslem Kazemi, Kamal Gupta, Mehran Mehrandezh
2012 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems  
We address the problem of incorporating path planning with image-based control of a wheeled mobile manipulator (WMM) performing visually-guided tasks in complex environments.  ...  The WMM consists of a wheeled (non-holonomic) mobile platform and an on-board robotic arm equipped with a camera mounted at its end-effector.  ...  constraints, and then adapted for path planning for visual servoing in [11] by us.  ... 
doi:10.1109/iros.2012.6385898 dblp:conf/iros/KazemiGM12 fatcat:kf7mxryfzfagpm67rg6xkmg7ku

An Analysis of Navigation Algorithms for Smartphones Using J2ME [chapter]

André C. Santos, Luís Tarrataca, João M. P. Cardoso
2009 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
Two embedded fields that will most certainly take a primary role in future innovations are mobile robotics and mobile computing.  ...  Mobile robots and smartphones are growing in number and functionalities, becoming a presence in our daily life.  ...  Acknowledgments We would like to acknowledge the donations of smartphones by Nokia, Finland.  ... 
doi:10.1007/978-3-642-01802-2_20 fatcat:ue7kd3tkdnh4poxolvta4awtku
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