Temat: autonomous mobile robot navigation

Skocz do pozycji: 1.

Tytuł:: Intelligent Control for a Perturbed Autonomous Wheeled Mobile Robot Using Type-2 Fuzzy Logic and Genetic Algorithms
Autorzy:: Martínez, R.
Castillo, O.
Aguilar, L. T.
Tematy:: mobile robot
path planning
fuzzy logic
genetic algorithms
autonomous mobile robot navigation; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384492.pdf Link otwiera się w nowym oknie
Opis:: We describe a tracking controller for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on Type-2 Fuzzy Logic Theory and Genetic Algorithms. Computer simulations are presented confirming the performance of the tracking controller and its application to different navigation problems.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Research trends on fuzzy logic controller for mobile robot navigation : a scientometric study
Autorzy:: Rani, Somiya
Jain, Amita
Castillo, Oscar
Tematy:: fuzzy logic controller
autonomous mobile robot navigation
type-2 fuzzy logic
optimized fuzzy controller; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384308.pdf Link otwiera się w nowym oknie
Opis:: The present study shows the scientometric analysis of the publications on the fuzzy logic controller in autonomous mobile robot navigation during the period 2000 to 2018. The data is collected using Web of Science core collection database and analyzed at various levels such as Web of Science categories, publication years, document types, funding agencies, authors, research areas, countries or region, control terms, and organization to evaluate the research patterns. An extensive study is done to find the research trends in this area.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

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.
Tematy:: human-like local navigation
sequence learning
entorhino-hippocampal system
autonomous mobile robot; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384203.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

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.
Tematy:: ant colony optimization
ACO
autonomous mobile robot
navigation
fuzzy logic
path planning; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384490.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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