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Wyszukujesz frazę "Belter, D." wg kryterium: Autor


Wyświetlanie 1-9 z 9
Tytuł:
Optimization - based approach for motion planning of a robot walking on rough terrain
Autorzy:
Belter, D.
Powiązania:
https://bibliotekanauki.pl/articles/950764.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
walking robot
motion planning
rough terrain
locomotion
Opis:
The paper presents a motion planning algorithm for a robot walking on rough terrain. The motion-planer is based on the improved RRT (Rapidly Exploring Random Tree)-Connect algorithm. The Particle Swarm Optimizati on (PSO) algorithm is proposed to solve a posture optimization problem. The steepest descent method is used to determine the postion of the robot's feet during the swing phase. The gradient descent method is used for smoothing the final path. The properties of the motion planning algorithm are presented in four cases: motion planning over a bump, concavity, step and rough terrain mocup. The maximal sizes of particular obstacle types traversable by the Messor robot with the new, optimized motion plan are given.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2013, 7, 4; 34-41
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A biologically inspired approach to feasible gait learning for a hexapod robot
Autorzy:
Belter, D.
Skrzypczyński, P.
Powiązania:
https://bibliotekanauki.pl/articles/907777.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
identyfikacja modelu
uczenie się ewolucyjne
robot nożny
evolutionary learning
legged robots
gait generation
model identification
reality gap
Opis:
The objective of this paper is to develop feasible gait patterns that could be used to control a real hexapod walking robot. These gaits should enable the fastest movement that is possible with the given robot's mechanics and drives on a flat terrain. Biological inspirations are commonly used in the design of walking robots and their control algorithms. However, legged robots differ significantly from their biological counterparts. Hence we believe that gait patterns should be learned using the robot or its simulation model rather than copied from insect behaviour. However, as we have found tahula rasa learning ineffective in this case due to the large and complicated search space, we adopt a different strategy: in a series of simulations we show how a progressive reduction of the permissible search space for the leg movements leads to the evolution of effective gait patterns. This strategy enables the evolutionary algorithm to discover proper leg co-ordination rules for a hexapod robot, using only simple dependencies between the states of the legs and a simple fitness function. The dependencies used are inspired by typical insect behaviour, although we show that all the introduced rules emerge also naturally in the evolved gait patterns. Finally, the gaits evolved in simulations are shown to be effective in experiments on a real walking robot.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2010, 20, 1; 69-84
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Supporting locomotive functions of a six-legged walking robot
Autorzy:
Walas, K.
Belter, D.
Powiązania:
https://bibliotekanauki.pl/articles/907788.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
robotyka
robot kroczący
stateczność statyczna
robotics
walking robots
foothold placement
static stability
Opis:
This paper presents a method for building a foothold selection module as well as methods for the stability check for a multi-legged walking robot. The foothold selection decision maker is shaped automatically, without expert knowledge. The robot learns how to select appropriate footholds by walking on rough terrain or by testing ground primitives. The gathered knowledge is then used to find a relation between slippages and the obtained local shape of the terrain, which is further employed to assess potential footholds. A new approach to function approximation is proposed. It uses the leastsquares fitting method, the Kolmogorov theorem and population-based optimization algorithms. A strategy for re-learning is proposed. The role of the decision support unit in the control system of the robot is presented. The importance of the stability check procedure is shown. A method of finding the stability region is described. Further improvements in the stability check procedure due to taking into account kinematic correction are reported. A description of the system for calculating static stability on-line is given. Methods for measuring stance forces are described. The measurement of stance forces facilitates the extended stability check procedure. The correctness of the method is proved by results obtained in a real environment on a real robot.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2011, 21, 2; 363-377
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Messor - Verstatile wal king robot for serach and rescue missions
Autorzy:
Walas, K.
Belter, D.
Powiązania:
https://bibliotekanauki.pl/articles/384762.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
walking robot
six-legged
field robots
Opis:
Nowadays there are more people living in the cities than in the countryside.With the growing number of multistorey buildings, which are built very fast, the number of possible collapses is rising. Rescue missions in ruins of such constructions pose a possible threat to the life of the rescuers. To avoid involving people in such missions mobile robots are used. The use of a six-legged robot in Urban Search and Rescue missions is proposed due to its static stability while walking on rough terrain. In this paper six-legged walking robot Messor is described. Its mechanical structure was designed in such a way, that negotiating obstacles met in urban space is possible. In order to perform such tasks as walking over rough terrain or climbing stairs the robot is equipped with significant number of on-board sensors. The control algorithms, which take advantage of mechanical structure were developed. At the beginning a mechanical structure of the robot is described. Next, the design of the robot control system architecture is considered. Then the robot sensory system is presented and afterward the application software is characterized.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2011, 5, 2; 28-34
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sensory system calibration method for a walking robot
Autorzy:
Łabęcki, P.
Belter, D.
Powiązania:
https://bibliotekanauki.pl/articles/950915.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
extrinsic calibration
laser scanner
stereo
camera
walking robot
Opis:
In this paper, a method for calibrating the sensory system of a walking robot is proposed. The robot is equipped with two exteroceptive sensors: a 2D laser scanner and a stereo camera. When using the CAD model of the robot, the positions of both sensors defined in the robot's body reference frame can only be determined with limited precision. Our goal is to create a method which allows the robot to find the position of the mounted sensors without the need for human input. The presented results show that the method is not only fast but also more precise than calibration using the CAD model.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2013, 7, 2; 39-45
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Boosting support vector machines for RGB-D based terrain classification
Autorzy:
Wietrzykowski, J.
Belter, D.
Powiązania:
https://bibliotekanauki.pl/articles/950938.pdf
Data publikacji:
2014
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
terrain classification
mobile robot
RGB-D
Opis:
This paper deals with the terrain classification problem for an autonomous mobile robot. The robot is designed to operate in an outdoor environment. The classifier integrates data from RGB camera and 2D laser scanner. The camera provides information about visual appearance of the objects in front of the robot. The laser scanner provides data about distance to the objects and their ability to reflect infrared beam. In this paper we present the method which create terrain segments and classifies them using joint application of Support Vector Machine (SVM) classifier and AdaBoost algorithm. The classifica- tion results of the experimental verification are provided in the paper.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 3; 28-34
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Measurement fusion method for indoor localization of a walking robot
Integracja danych pomiarowych w systemie lokalizacji robota kroczącego
Autorzy:
Jaworski, B.
Bilicki, D.
Belter, D.
Powiązania:
https://bibliotekanauki.pl/articles/276611.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
lokalizacja robota mobilnego
fuzja danych
system wizyjny
visual localization system
data fusion
mobile robot
Opis:
The article presents visual localization system for walking robots. The method uses two independent visual procedures to determine position and orientation of the robot’s body: Parallel Tracking and Mapping (PTAM) and the procedure which returns position of the camera in relation to the known marker. The heuristicbased data fusion method is proposed. The method takes into account properties of both modules to estimate real position of the robot. The properties of the method are presented using ground truth data from experiment on the robotic arm.
Artykuł przedstawia wizyjny system lokalizacji robota kroczącego. Przedstawiono wykorzystanie algorytmu PTAM oraz metody określającej położenie kamery względem znacznika do określenia położenia robota. Przedstawiono metodę fuzji danych z obu systemów pomiarowych. Proponowana metoda jest alternatywa dla droższych systemów 'motion capture' wykorzystywanych do weryfikacji eksperymentalnej wewnątrz laboratorium.
Źródło:
Pomiary Automatyka Robotyka; 2013, 17, 2; 272-277
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control and environment sensing system for a six-legged robot
Autorzy:
Walas, K.
Belter, D.
Kasiński, A.
Powiązania:
https://bibliotekanauki.pl/articles/384263.pdf
Data publikacji:
2008
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
multi-legged robot
sensors
control system
Opis:
The architecture of the six legged robot is described in this paper. Robot kinematics for single leg and for the multi-legged platform is presented. For the control of the robot equipped with a number of sensors a three-layer control system has been designed. It consists of a host computer (in the first, teleoperation layer), of a single master microprocessor on the robot board (second layer) and of six microprocessors each of them for one leg (third layer). The communication between the first and the second layer is performed in duplex mode through the RS232 link via the Bluetooth channel, and between the second and the third control layer through the SPI bus. The robot sensing system consists of rotary potentiometers in each joint, of the leg as well as of a dual-axis accelerometer and gyroscope for platform orientation control. On board camera for remote vision is available.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 3; 26-32
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
    Wyświetlanie 1-9 z 9

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