Temat: Navigation System - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Cloud computing support for the multi-agent robot navigation system
Autorzy:: Dudek, W.
Szynkiewicz, W.
Winiarski, T.
Powiązania:: https://bibliotekanauki.pl/articles/385276.pdf
Data publikacji:: 2017
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: robot navigation system
cloud computing
service robot
Opis:: This paper presents a navigation system structure for mobile service robots in the agent-based distributed architecture. The proposed navigation system is a part of the RAPP framework. The RAPP framework is an open-source software platform to support the creation and delivery of robotic applications, which are expected to increase the versatility and utility of robots. All key navigation tasks are defined and divided into separate components. The proper allocation of navigation components, in the fouragent structure of the RAPP infrastructure, enables highdemanding computations offloading and was the main goal of this work. Navigation system components were implemented using ROS framework. Experimental results for the NAO robot executing risks detection task proved the validity of the proposed approach.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2017, 11, 2; 67-74
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A scalable tree based path planning for a service robot
Autorzy:: Nippun Kumaar, A. A.
Kochuvila, Sreeja
Nagaraja, S. R.
Powiązania:: https://bibliotekanauki.pl/articles/2204556.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: learning from demonstration
path mapping
path planning
navigation system
mobile robot
service robot
Opis:: Path planning plays a vital role in a mobile robot navi‐ gation system. It essentially generates the shortest tra‐ versable path between two given points. There are many path planning algorithms that have been proposed by re‐ searchers all over the world; however, there is very little work focussing on path planning for a service environ‐ ment. The general assumption is that either the environ‐ ment is fully known or unknown. Both cases would not be suitable for a service environment. A fully known en‐ vironment will restrict further expansion in terms of the number of navigation points and an unknown environ‐ ment would give an inefficient path. Unlike other envi‐ ronments, service environments have certain factors to be considered, like user‐friendliness, repeatability, sca‐ lability, and portability, which are very essential for a service robot. In this paper, a simple, efficient, robust, and environment‐independent path planning algorithm for an indoor mobile service robot is presented. Initially, the robot is trained to navigate to all the possible desti‐ nations sequentially with a minimal user interface, which will ensure that the robot knows partial paths in the en‐ vironment. With the trained data, the path planning al‐ gorithm maps all the logical paths between all the des‐ tinations, which helps in autonomous navigation. The al‐ gorithm is implemented and tested using a 2D simulator Player/Stage. The proposed system is tested with two dif‐ ferent service environment layouts and proved to have features like scalability, trainability, accuracy, and repe‐ atability. The algorithm is compared with various classi‐ cal path planning algorithms and the results show that the proposed path planning algorithm is on par with the other algorithms in terms of accuracy and efficient path generation.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 1; 31--45
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Comparative study of ROS on embedded system for a mobile robot
Autorzy:: Kim, M. S.
Delgado, R.
Choi, B. W.
Powiązania:: https://bibliotekanauki.pl/articles/385189.pdf
Data publikacji:: 2018
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Robot Operation System
mobile robot
embedded system
navigation
SLAM
path planner
Opis:: This paper presents a comparative study of Robot Operating System (ROS) packages for mobile robot navigation on an embedded system. ROS provides various libraries and tools in developing complex robot software. We discuss the process of porting ROS to an open embedded platform, which serves as the main controller for a mobile robot. In the case of driving the robot, ROS provides local path planners such as the base, elastic band, and timed elastic band. The local planners are compared and analyzed in terms of accuracy in tracking the global path conducted on a robot model using Gazebo, 3D simulation tool provided by ROS. We also discussed the difference in performance of deploying ROS packages on a personal computer and on the embedded environment. Experiments were performed by controlling two different mobile robots with results showing that tracking error is highly dependent on the goal tolerance. This study will serve as a promising metric in improving the performance of mobile robots using ROS navigation packages.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 3; 61-67
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: A simple local navigation system inspired by hippocampal function and its autonomous mobile robot implementation
Autorzy:: Miki, T.
Hayashi, H.
Goto, Y.
Watanabe, M.
Inoue, T.
Powiązania:: https://bibliotekanauki.pl/articles/384203.pdf
Data publikacji:: 2010
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: human-like local navigation
sequence learning
entorhino-hippocampal system
autonomous mobile robot
Opis:: We propose a practical simple local navigation system inspired by the sequence learning mechanism of the entorhino-hippocampal system. The proposed system memorizes a route as sequences of landmarks in the same way humans do. The proposed local navigation system includes a local route memory unit, landmark extraction unit, and learning-type matching unit. In the local route memory unit, the concept of the sequence learning mechanism of the entorhino-hippocampal system is implemented using a fully connected network, while a sequence of landmarks is embedded in the connection matrix as the local route memory. This system has two operation modes: learning and recall modes. In learning mode, a sequence of landmarks, i.e. a local route, is represented by enhanced loop connections in the connection matrix. In recall mode, the system traces the stored route comparing current landmarks with the stored landmarks using the landmark extraction and learning-type matching units. The system uses a prospective sequence to match the current landmark sequence with the recalled one. Using a prospective sequence in the route comparison allows confirmation of the correct route and deals with any slight change in the current sequence of landmarks. A certainty index is also introduced for judging the validity of the route selection. We describe a basic update mechanism for the stored landmark sequence in the case of a small change in the local route memory. The validity of the proposed system is confirmed using an autonomous mobile robot with the proposed navigation system.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 2; 31-38
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Multi-strategy navigation for a mobile data acquisition platform using genetic algorithms
Autorzy:: Halal, F.
Zaremba, M. B.
Powiązania:: https://bibliotekanauki.pl/articles/950950.pdf
Data publikacji:: 2017
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: genetic algorithms
path planning
monitoring system
remote sensing
navigation control
heuristic search
Opis:: Monitoring of biological and chemical pollutants in large bodies of water requires the acquisition of a large number of in-situ measurements by a mobile sensor platform. Critical to this problem is an efficient path planning method, easily adaptable to different control strategies that ensure the collection of data of the greatest value. This paper proposes a deliberative path planning algorithm, which features the use of waypoints for a ship navigation trajectory that are generated by Genetic Algorithm (GA) based procedures. The global search abilities of Genetic Algorithms are combined with the heuristic local search in order to implement a navigation behaviour suitable to the required data collection strategy. The adaptive search system operates on multi-layer maps generated from remote sensing data, and provides the capacity for dealing with multiple classes of water pollutants. A suitable objective function was proposed to handle different sampling strategies for the collection of samples from multiple water pollutant classes. A region-of-interest (ROI) component was introduced to deal effectively with the large scale of search environments by pushing the search towards ROI zones. This resulted in the reduction of the search time and the computing cost, as well as good convergence to an optimal solution. The global path planning performance was further improved by multipoint crossover operators running in each GA generation. The system was developed and tested for inland water monitoring and trajectory planning of a mobile sample acquisition platform using commercially available satellite data.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2017, 11, 1; 30-41
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Synthesis of an intelligent UAV control system based on fuzzy logic in external disturbance conditions
Autorzy:: Korobiichuk, Igor
Shevchuk, Dmytro
Prokhorenko, Iryna
Tymoshenko, Nataliia
Smityuh, Yaroslav
Boyko, Regina
Powiązania:: https://bibliotekanauki.pl/articles/1837379.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Unmanned Aerial Vehicle
UAV
fuzzy controller
longitudinal control channel
height stabilization
automatic control system
pilot-navigation complex
Opis:: To ensure reliable execution of flight tasks in the presence of both external perturbations and internal parametric perturbations, deterioration of the characteristics of the sensors, a control system structure based on intelligent technologies is proposed. The process of forming a “knowledge base” of a fuzzy controller is considered. The results of mathematical modeling of the longitudinal UAV control channel with a PID-controller and a fuzzy controller in the control loop are presented.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 3; 3-9
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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