Temat: robot mapping - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Automated Map Comparison using Non-invariant Fourier Descriptors
Autorzy:: Ouellette, R.
Hirasawa, K.
Powiązania:: https://bibliotekanauki.pl/articles/384745.pdf
Data publikacji:: 2012
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Fourier descriptors
robot mapping
SLAM
map comparison
image comparison
Opis:: In this paper, we use non-invariant Fourier descriptors to derive transformation variables which allow us to optimally localize and reorient robot-generated maps based on the map shapes in order to determine, in an automated way, the accuracy of the generated maps. Our method uses only 4 simple calculations for alignment, therefore is extremely fast and gives a very good optimization for data maps that contain consistent, high frequency noise. A drawback to this method is occlusions in the map which affect the low frequency Fourier descriptors and cause localization and orientation errors. Preprocessing and optimization can help minimize these drawbacks. This application can be easily adapted to other areas such as image comparison or fault detection.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2012, 6, 1; 15-21
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:: 3D maps integration based on overlapping regions matching
Autorzy:: Drwięga, Michał
Powiązania:: https://bibliotekanauki.pl/articles/2141859.pdf
Data publikacji:: 2021
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: multi‐robot mapping
map merging
feature matching
ICP
NDT
octomap
Opis:: This paper presents a developed method of 3D maps integration based on overlapping regions detection and matching that works without an initial guess about transformation between maps. The presented solution is based on a classic pipeline approach from computer vision that has been applied to the 3D maps integration with multiple improvements related to model extraction and the descriptors matching. The process of finding transformation between maps consists of three steps. The first one is the extraction of the model from one of the maps. Then the initial transformation is estimated between extracted model and another map based on feature extraction, description, and matching. The assumption is that the maps have an overlapping area that can be used during the feature‐based alignment. In the last step, the initial so‐ lution is corrected using local alignment approaches, for example, ICP or NDT. The maps are stored in the octree based representation (octomaps) but during transformation estimation, a point cloud representation is used as well. In addition, the presented method was verified in various experiments: in a simulation, with wheeled robots, and with publicly available datasets. Eventually, the solution can be applied to many robotic applications related to the exploration of unknown environments. Nevertheless, so far it was validated with a group of wheeled robots. Furthermore, the developed method has been implemented and released as a part of the open‐source ROS package 3d_map_server.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2021, 15, 3; 70-80
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:: Local Generating Map System Using Rviz ROS and Kinect Camera for Rescue Robot Application
Autorzy:: Muharom, Syahri
Firmansyah, Riza Agung
Prabowo, Yuliyanto Agung
Powiązania:: https://bibliotekanauki.pl/articles/27311929.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: mapping
Kinect
Rviz
ROS
robot
Opis:: This paper presents a model to generate a 3D model of a room, where room mapping is very necessary to find out the existing real conditions, where this modeling will be applied to the rescue robot. To solve this problem, researchers made a breakthrough by creating a 3D room mapping system. The mapping system and 3D model making carried out in this study are to utilize the camera Kinect and Rviz on the ROS. The camera takes a picture of the area around it, the imagery results are processed in the ROS system, the processing carried out includes several nodes and topics in the ROS which later the signal results are sent and displayed on the Rviz ROS. From the results of the tests that have been carried out, the designed system can create a 3D model from the Kinect camera capture by utilizing the Rviz function on the ROS. From this model later every corner of the room can be mapped and modeled in 3D.
Źródło:: International Journal of Electronics and Telecommunications; 2023, 69, 3; 621--626
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Navigation and mapping of closed spaces with a mobile robot and RFID grid
Autorzy:: Pawłowicz, Bartosz
Skoczylas, Mariusz
Trybus, Bartosz
Salach, Mateusz
Hubacz, Marcin
Mazur, Damian
Powiązania:: https://bibliotekanauki.pl/articles/27324009.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: mobile robot
space mapping
RFID
Opis:: This article concerns the use of an integrated RFID system with a mobile robot for the navigation and mapping of closed spaces. The architecture of a prototype mobile robot equipped with a set of RFID readers that performs the mapping functions is described. Laboratory tests of the robot have been carried out using a test stand equipped with a grid of appropriately programmed RFID transponders. A simulation model of the effectiveness of transponder reading by the robot has been prepared. The conclusions from measurements and tests are discussed, and methods for improving the solution are proposed.
Źródło:: Archives of Control Sciences; 2023, 33, 4; 737--759
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Indoor Mapping Using Sonar Sensor and Otsu Method
Autorzy:: Dimitrova-Grekow, T.
Salauyou, V.
Kowalski, K.
Powiązania:: https://bibliotekanauki.pl/articles/114466.pdf
Data publikacji:: 2017
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: mapping
sonar
Otsu's method
education robot
Opis:: In this paper we present an indoor mapping algorithm based on sonar sensor. The overall object detection and mapping experiment is based on small scale local spatial information which has been accomplished in a 2D geometrical map. Considering all drawbacks and pluses of ultrasonic sensors, we present an innovative mapping approach, applying the Otsu’s method and Hit-or-Miss for sonar-data processing. The collected data are treated as a gray-scale picture. For its binarization, we applied the well-known for vision-based systems threshold calculation. Then also the morphology effect, what rises additionally the mapping accuracy, as is shown at the end of the paper. The robot is based on the education construction set LEGO Mindstorms EV3 intelligent brick on ev3dev - a Debian Linux-based operating system and Python 2.0 have been used for programming. The results are evaluated and compared with the real space.
Źródło:: Measurement Automation Monitoring; 2017, 63, 6; 214-216
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: The Application of Mobile Robots for Building Safety Control
Autorzy:: Siemiatkowska, B.
Hrasymowicz-Boggio, B.
Wisniowski, M.
Powiązania:: https://bibliotekanauki.pl/articles/950822.pdf
Data publikacji:: 2016
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: mapping
classification
control
mobile robot
safety
Opis:: In this article we propose the application of service mobile robots for control of building safety parameters. Indoor mobile robots are becoming a reality and their availability and applications are expected to grow rapidly in the near future. Such robots are usually equipped with cameras and laser range finders, which could be used to detect hazardous situations in their operating environment, such as evacuation route obstructions, emergency sign occlusions or accumulation of dangerous materials. We demonstrate how these safety-related augmentations of a mobile robot system can be achieved with few additional resources and validate experimentally the concept using an indoor robot for emergency sign and evacuation route control.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2016, 10, 2; 9-14
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: 7.

Tytuł:: Improvement of control and supervision of web connected mobile robots using PPU computation
Autorzy:: Będkowski, J.
Masłowski, A.
Powiązania:: https://bibliotekanauki.pl/articles/384421.pdf
Data publikacji:: 2012
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: semantic mapping
human machine interface
mobile robot
Opis:: The paper concerns the research related to the improvement of control and supervision of web connected mobile robots using Physic Processing Unit (PPU). PPU computations taken into the consideration include rigid body dynamics, collision detection and raycasting. The result is improved by Human Machine Interface that allows performing semantic simulation during multi robot task execution. Semantic simulation engine provides tools to implement the mobile robot simulation, which is based on real data delivered by robot’s observations in INDOOR environment. The supervision of real objects such as robots is performed by association with its virtual representation in the simulation, therefore events such as object intersection, robot orientation - pitch and roll are able to be monitored. The simulation can be integrated with real part of the system with an assumption of robust localization of real entities, therefore Augmented Reality capabilities are available.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2012, 6, 2; 3-7
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:: 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: 9.

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: 10.

Tytuł:: Simultaneous localization and mapping: A feature-based probabilistic approach
Autorzy:: Skrzypczyński, P.
Powiązania:: https://bibliotekanauki.pl/articles/929972.pdf
Data publikacji:: 2009
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: robot mobilny
lokalizacja równoczesna
dopasowanie właściwości
mobile robot
simultaneous localization and mapping
feature matching
Opis:: This article provides an introduction to Simultaneous Localization And Mapping (SLAM), with the focus on probabilistic SLAM utilizing a feature-based description of the environment. A probabilistic formulation of the SLAM problem is introduced, and a solution based on the Extended Kalman Filter (EKF-SLAM) is shown. Important issues of convergence, consistency, observability, data association and scaling in EKF-SLAM are discussed from both theoretical and practical points of view. Major extensions to the basic EKF-SLAM method and some recent advances in SLAM are also presented.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2009, 19, 4; 575-588
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: 11.

Tytuł:: Stiffness control of robot manipulators in the operational space using fuzzy mapping of dynamic functions
Autorzy:: Bertol, D. W.
Barasuol, V.
Martins, N. A.
De Pieri, E. R.
Powiązania:: https://bibliotekanauki.pl/articles/971046.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: stiffness control
fuzzy mapping
robot manipulators
operational space
trajectory tracking
Opis:: In this paper a stiffness control strategy based on the fuzzy mapped nonlinear terms of the robot manipulator dynamic model is proposed. The proposed stiffness controller is evaluated on a research robot manipulator performing a task in the operational space. Tests attempted to achieve fast motion with reasonable accuracy associated with lower computational load compared to the non-fuzzy approach. The stability analysis is presented to conclude about the mapping error influence and to obtain precondition criteria for the gains adjustment to face the trajectory tracking problem. Simulation results that supported the implementation are presented, followed by experiments and results obtained. These tests are conducted on a robot manipulator with SCARA configuration to illustrate the feasibility of this strategy.
Źródło:: Control and Cybernetics; 2013, 42, 3; 639-661
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

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: 13.

Tytuł:: Vision-Based Mobile Robot Navigation
Autorzy:: Berrabah, S. A.
Colon, E.
Powiązania:: https://bibliotekanauki.pl/articles/384895.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: robot navigation
vision-based SLAM
local and global mapping
adaptive fuzzy control
Opis:: This paper presents a vision-based navigation system for mobile robots. It enables the robot to build a map of its environment, localize efficiently itself without use of any artificial markers or other modifications, and navigate without colliding with obstacles. The Simultaneous Localization And Mapping (SLAM) procedure builds a global representation of the environment based on several size limited local maps built using the approach introduced by Davison [1]. Two methods for global map are presented; the first method consists in transforming each local map into a global frame before to start building a new local map. While in the second method, the global map consists only in a set of robot positions where new local maps are started (i.e. the base references of the local maps). In both methods, the base frame for the global map is the robot position at instant . Based on the estimated map and its global position, the robot can find a path and navigate without colliding with obstacles to reach a goal defined the user. The moving objects in the scene are detected and their motion is estimated using a combination of Gaussian Mixture Model (GMM) background subtraction approach and a Maximum a Posteriori Probability Markov Random Field (MAP-MRF) framework [2]. Experimental results in real scenes are presented to illustrate the effectiveness of the proposed method.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 4; 7-13
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: 14.

Tytuł:: RGB-D terrain perception and dense mapping for legged robots
Autorzy:: Belter, D.
Łabecki, P
Fankhauser, P.
Siegwart, R.
Powiązania:: https://bibliotekanauki.pl/articles/330144.pdf
Data publikacji:: 2016
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: RGB-D perception
elevation mapping
uncertainty
legged robots
RGB-D
niepewność
robot nożny
Opis:: This paper addresses the issues of unstructured terrain modeling for the purpose of navigation with legged robots. We present an improved elevation grid concept adopted to the specific requirements of a small legged robot with limited perceptual capabilities. We propose an extension of the elevation grid update mechanism by incorporating a formal treatment of the spatial uncertainty. Moreover, this paper presents uncertainty models for a structured light RGB-D sensor and a stereo vision camera used to produce a dense depth map. The model for the uncertainty of the stereo vision camera is based on uncertainty propagation from calibration, through undistortion and rectification algorithms, allowing calculation of the uncertainty of measured 3D point coordinates. The proposed uncertainty models were used for the construction of a terrain elevation map using the Videre Design STOC stereo vision camera and Kinect-like range sensors. We provide experimental verification of the proposed mapping method, and a comparison with another recently published terrain mapping method for walking robots.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2016, 26, 1; 81-97
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: 15.

Tytuł:: Homography augmented particle filter SLAM
Autorzy:: Słowak, Paweł Leszek
Kaniewski, Piotr
Powiązania:: https://bibliotekanauki.pl/articles/27311746.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: Simultaneous Localization and Mapping
SLAM
homography matrix
particle filter
robot navigation
visual-inertial systems
Opis:: The article presents a comprehensive study of a visual-inertial simultaneous localization and mapping (SLAM) algorithm designed for aerial vehicles. The goal of the research is to propose an improvement to the particle filter SLAM system that allows for more accurate and robust navigation of unknown environments. The authors introduce a modification that utilizes a homography matrix decomposition calculated from the camera frame-to-frame relationships. This procedure aims to refine the particle filter proposal distribution of the estimated robot state. In addition, the authors implement a mechanism of calculating a homography matrix from robot displacement, which is utilized to eliminate outliers in the frame-to-frame feature detection procedure. The algorithm is evaluated using simulation and real-world datasets, and the results show that the proposed improvements make the algorithm more accurate and robust. Specifically, the use of homography matrix decomposition allows the algorithm to be more efficient, with a smaller number of particles, without sacrificing accuracy. Furthermore, the incorporation of robot displacement information helps improve the accuracy of the feature detection procedure, leading to more reliable and consistent results. The article concludes with a discussion of the implemented and tested SLAM solution, highlighting its strengths and limitations. Overall, the proposed algorithm is a promising approach for achieving accurate and robust autonomous navigation of unknown environments.
Źródło:: Metrology and Measurement Systems; 2023, 30, 3; 423--439
0860-8229
Pojawia się w:: Metrology and Measurement Systems
Dostawca treści:: Biblioteka Nauki

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