Temat: robot navigation - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A machine learning-based mobile robot visual homing approach
Autorzy:: Zhu, Q.
Ji, X.
Wang, J.
Cai, C.
Powiązania:: https://bibliotekanauki.pl/articles/201706.pdf
Data publikacji:: 2018
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: robot navigation
visual homing
panoramic vision sensors
machine learning
homing performance
nawigacja robotów
panoramiczny czujnik wizyjny
uczenie maszynowe
Opis:: Visual homing enables mobile robots to move towards a previously visited location solely based on panoramic vision sensors. In this paper, a SIFT-based visual homing approach incorporating machine learning is presented. The proposed approach can reduce the impact of inaccurate landmarks on the performance, and generate more precise home direction with simple model. The effectiveness of the proposed approach is verified on both panoramic image databases and actual mobile robot, experimental results reveal that compared to some traditional visual homing methods, the proposed approach exhibits better homing performance and adaptability in both static and dynamic environments.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 5; 621-634
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
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:: A set of depth sensor processing ROS tools for wheeled mobile robot navigation
Autorzy:: Drwięga, M.
Jakubiak, J.
Powiązania:: https://bibliotekanauki.pl/articles/950758.pdf
Data publikacji:: 2017
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: RGB-D
Kinect
mobile robot
ROS
depth sensor
navigation tools
Opis:: The paper presents a set of soŌware tools dedicated to support mobile robot navigaƟon. The tools are used to process an image from a depth sensor. They are implemented in ROS framework and they are compaƟble with standard ROS navigaƟon packages. The soŌware is released with an open source licence. First of the tools converts a 3D depth image to a 2D scan in polar coordinates. It provides projecƟon of the obstacles, removes the ground plane from the image and compensates sensor Ɵlt angle. The node is faster than the standard node within ROS and it has addiƟonal funcƟons increasing range of possible applicaƟons. The second tool allows detecƟon of negaƟve obstacles i.e. located below the ground plane level. The third tool esƟmates height and orientaƟon of the sensor with RANSAC algorithm applied to the depth image. The paper presents also the results of usage of the tools with mobile plaƞorms equipped with MicrosoŌ Kinect sensors. The plaƞorms are elements of the ReMeDi project within which the soŌware was developed.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2017, 11, 2; 48-56
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:: An ACO Path Planner Using a FIS for Path Selection Adjusted with a Simple Tuning Algorithm
Autorzy:: Porta-Garcia, M.
Montiel, O.
Sepulveda, R.
Powiązania:: https://bibliotekanauki.pl/articles/384490.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: ant colony optimization
ACO
autonomous mobile robot
navigation
fuzzy logic
path planning
Opis:: This paper presents a path planner application for mobile robots based on Ant Colony Optimization (ACO). The selection of the optimal path relies in the criterion of a Fuzzy Inference System (FIS), which is adjusted using a Simple Tuning Algorithm (STA). The path planner can be executed in Mode I and Mode II. The first mode only works in the virtual environment of the interface, while Mode II embraces the wireless communication with a real robot; once the ACO algorithm finds the best route, the coordinates are sent to a mobile robot via Bluetooth communication; if the robot senses a new obstacle, the computer is notified and does a rerouting routine in order to avoid the obstacle and reach the goal. In other words, the application supports dynamic search spaces.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 5-11
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:: Characterization of a compact laser scanner as a sensor for legged mobile robots
Autorzy:: Łabęcki, P.
Nowicki, M.
Skrzypczyński, P.
Powiązania:: https://bibliotekanauki.pl/articles/407415.pdf
Data publikacji:: 2012
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: mobile robot
walking robot
navigation
sensor
laser scanner
measurement errors
Opis:: This article considers selected operational characteristics and measurement errors of the 2D laser scanner URG-04LX, which is a compact sensor suitable for walking robots. Quantitative errors in range measurement are evaluated considering the intensity output available from the sensor. The obtained intensity values help to correct the range measurements with regard to the optical characteristics of the observed surfaces. Moreover, mixed measurements are characterized and compared to the mixed measurements characteristics in the popular Sick LMS 200 laser scanner. Finally, it is shown how taking into account the error characteristics of the URG-04LX scanner improves its performance as the main exteroceptive sensor of a small walking robot.
Źródło:: Management and Production Engineering Review; 2012, 3, 3; 45-52
2080-8208
2082-1344
Pojawia się w:: Management and Production Engineering Review
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

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: 8.

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: 9.

Tytuł:: Coordinating the motion of mobile robots using Cellular Neural Network
Autorzy:: Siemiątkowska, B.
Powiązania:: https://bibliotekanauki.pl/articles/384283.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: neural networks
mobile robot
mapping
navigation
multi-robots systems
cellular neural network
Opis:: This paper presents a method for motion planning for a group of mobile robots. The goal of the group is to move through an environment and to reach a destination while maintaining the desired formation. The map of the environment is represented as a grid of cells. A state of each cell is determined. It can be free, occupied by the obstacle, occupied by a robot. The trajectories of the robots are planned using the modification of diffusion method. The algorithm is implemented using Cellular Neural Network. This kind of implementation allows of efficient path planning and to solve conflicts between robots. Computer simulations were preformed in order to proof the efficiency of the approach.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 2; 65-69
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: 10.

Tytuł:: Creating semantic maps from laser terrestrial data
Tworzenie map semantycznych na podstawie danych z naziemnego skaningu laserowego
Autorzy:: Będkowski, J.
Majek, K.
Musialik, P.
Masłowski, A.
Adamek, A.
Powiązania:: https://bibliotekanauki.pl/articles/130718.pdf
Data publikacji:: 2013
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: semantic map
terrestrial scanning
mobile robot navigation
path planning
parallel computing
mapa semantyczna
skaning naziemny
nawigacja robota mobilnego
planowanie trasy
obliczenia równoległe
Opis:: In this paper creating semantic maps based on laser terrestrial data is shown. Semantic map is based on transformed geometric data (3D laser range finder) into the data with assigned labels. This labels can help in several applications such as navigation of mobile robot by finding traversable and not traversable regions. Computation of large 3D data sets requires high computational power, therefore we proposed the GPU based (Graphic Processing Unit) implementation to decrease the computational time. As a result we demonstrate the computed semantic map for mobile robot navigation.
W niniejszej pracy zostało przedstawione tworzenie map semantycznych na podstawie danych z naziemnego skaningu laserowego. Mapa semantyczna bazuje na danych pomiarowych z przypisanymi etykietami. Te etykiety mogą zostać wykorzystane w wielu aplikacjach, jak nawigacja robota mobilnego z wykorzystaniem podziału na regiony przejezdne i nieprzejezdne. Obliczenia dużych trójwymiarowych zbiorów danych wymaga zastosowania duże mocy obliczeniowej, dlatego zaproponowaliśmy implementację wykorzystującą GPU (Graphic Processing Unit), by zmniejszyć czas obliczeń. W rezultacie prezentujemy mapę semantyczną do nawigacji robota mobilnego.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2013, Spec.; 23-33
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: D* Extra Lite: A dynamic A* with search-tree cutting and frontier-gap repairing
Autorzy:: Przybylski, M.
Putz, B.
Powiązania:: https://bibliotekanauki.pl/articles/329769.pdf
Data publikacji:: 2017
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: shortest path planning
incremental heuristic search
mobile robot navigation
video game
planowanie najkrótszej ścieżki
wyszukiwanie heurystyczne
nawigacja robota mobilnego
gra wideo
Opis:: Searching for the shortest-path in an unknown or changeable environment is a common problem in robotics and video games, in which agents need to update maps and to perform re-planning in order to complete their missions. D* Lite is a popular incremental heuristic search algorithm (i.e., it utilizes knowledge from previous searches). Its efficiency lies in the fact that it re-expands only those parts of the search-space that are relevant to registered changes and the current state of the agent. In this paper, we propose a new D* Extra Lite algorithm that is close to a regular A*, with reinitialization of the affected search-space achieved by search-tree branch cutting. The provided worst-case complexity analysis strongly suggests that D* Extra Lite’s method of reinitialization is faster than the focused approach to reinitialization used in D* Lite. In comprehensive tests on a large number of typical two-dimensional path-planning problems, D* Extra Lite was 1.08 to 1.94 times faster than the optimized version of D* Lite. Moreover, while demonstrating that it can be particularly suitable for difficult, dynamic problems, as the problem-complexity increased, D* Extra Lite’s performance further surpassed that of D*Lite. The source code of the algorithm is available on the open-source basis.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2017, 27, 2; 273-290
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:: Dense 3D Structure and Motion Estimation as an Aid for Robot Navigation
Autorzy:: De Cubber, G.
Powiązania:: https://bibliotekanauki.pl/articles/384899.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: outdoor mobile robots
behavior-based control
stereo vision and image motion analysis for robot navigation
modular control and software architecture (MCA)
Opis:: Three-dimensional scene reconstruction is an important tool in many applications varying from computer graphics to mobile robot navigation. In this paper, we focus on the robotics application, where the goal is to estimate the 3D rigid motion of a mobile robot and to reconstruct a dense three-dimensional scene representation. The reconstruction problem can be subdivided into a number of subproblems. First, the egomotion has to be estimated. For this, the camera (or robot) motion parameters are iteratively estimated by reconstruction of the epipolar geometry. Secondly, a dense depth map is calculated by fusing sparse depth information from point features and dense motion information from the optical flow in a variational framework. This depth map corresponds to a point cloud in 3D space, which can then be converted into a model to extract information for the robot navigation algorithm. Here, we present an integrated approach for the structure and egomotion estimation problem.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 4; 14-18
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: 13.

Tytuł:: Efficient non-odometry method for environment mapping and localisation of mobile robots
Autorzy:: Adamowicz, Mateusz
Ambroziak, Leszek
Kondratiuk, Mirosław
Powiązania:: https://bibliotekanauki.pl/articles/1837947.pdf
Data publikacji:: 2021
Wydawca:: Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:: mobile robot
mapping
navigation
obstacle detection
obstacle avoidance
Opis:: The paper presents the simple algorithm of simultaneous localisation and mapping (SLAM) without odometry information. The proposed algorithm is based only on scanning laser range finder. The theoretical foundations of the proposed method are presented. The most important element of the work is the experimental research. The research underlying the paper encompasses several tests, which were carried out to build the environment map to be navigated by the mobile robot in conjunction with the trajectory planning algorithm and obstacle avoidance.
Źródło:: Acta Mechanica et Automatica; 2021, 15, 1; 24-29
1898-4088
2300-5319
Pojawia się w:: Acta Mechanica et Automatica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 14.

Tytuł:: Exploring spatial relationships : a strategy for guiding technological problem solving
Autorzy:: Langley, D.
Zadok, Y.
Arieli, R.
Powiązania:: https://bibliotekanauki.pl/articles/384908.pdf
Data publikacji:: 2014
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: project-based learning
visualization
spatial relationships
guidance
robot navigation
non-contact distance sensor
inert knowledge
Opis:: The growing realization of the benefits to individual students and to state economies, of providing science learners with opportunities to expand their knowledge, skills and experience of knowledge-based technological design has led to seeking instructional strategies to facilitate the transition from traditional school settings to project based learning environments. This paper refers to engaging high school physics and computer-science majors in challenging design projects which seek to activate and implement the often inert formal content knowledge within the context of designing and constructing systems dealing with real world engineering challenges in robotics and electro-optics. In this paper we suggest that visualization of the problem space and guided exploration of its spatial relationships can promote the elicitation of relevant formal knowledge and lead to creative solution design. These methods are described in the context of designing and programming robot navigation and in the context of developing remote distance sensors.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 1; 30-36
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: 15.

Tytuł:: Fusing laser and vision data for a perceptually rich environment description
Opis otoczenia na podstawie danych z sensorów laserowych i wizyjnych
Autorzy:: Skrzypczyński, P.
Powiązania:: https://bibliotekanauki.pl/articles/257108.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Technologii Eksploatacji - Państwowy Instytut Badawczy
Tematy:: robot mobilny
nawigacja
system wizyjny
ekstrakcja cech
mobile robot
navigation
computer vision
feature extraction
Opis:: In this paper we, discuss methods to increase the discriminative properties of the laser-based geometric landmarks used in simultaneous localisation and mapping by employing monocular vision data. Vertical edges extracted from images help to estimate the length of the line segments, which are only partially observed. Salient visual features, which defy simple geometric interpretation, are handled by the scale invariant feature transform method. These different types of photometric features are aggregated together with the basic 2D line segments extracted from the laser scanner data into the Perceptually Rich Segments.
W pracy przedstawiono metody poprawiające rozróżnialność obiektów geometrycznych wyodrębnionych z danych uzyskanych ze skanera laserowego i wykorzystywanych w systemie jednoczesnej samolokalizacji i budowy mapy otoczenia robota. Założono, że robot porusza się w środowisku zbudowanym przez człowieka, w którym dominują pionowe płaszczyzny (ściany). Poprawę rozróżnialności obiektów uzyskano dzięki wykorzystaniu danych z monookularowego systemu wizyjnego robota. Krawędzie pionowe wyodrębnione z obrazów umożliwiają prawidłową estymację długości odcinków 2D odtworzonych uprzednio na podstawie danych ze skanera laserowego. Fotometryczne cechy znaczące wyodrębniane są z obrazów i opisywane za pomocą metody Scale Invariant Feature Transform (SIFT). Uzyskane wektory parametrów osadzane są następnie w "ramach" tworzonych przez odcinki poziome oraz krawędzie pionowe. Powstają w ten sposób obiekty nowego typu - PRS (ang. Perceptually Rich Segment). Zaprezentowano wyniki eksperymentów dotyczących wyodrębniania i dopasowywania do siebie wektorów SIFT oraz wstępne wyniki dotyczące budowy modelu otoczenia z użyciem obiektów PRS.
Źródło:: Problemy Eksploatacji; 2008, 3; 57-67
1232-9312
Pojawia się w:: Problemy Eksploatacji
Dostawca treści:: Biblioteka Nauki

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