نتایج جستجو برای: middle size soccer robot
تعداد نتایج: 811745 فیلتر نتایج به سال:
Visual perception is the most important method for providing information about the competition environment for RoboCup Middle Size League (MSL) soccer robots. The paper reviews the advancement of visual perception in RoboCup MSL soccer robots from several points of view including the design and calibration of the vision system, the visual object recognitio...
In this paper, we describe the GMD-Robots. These robots will be presented at the RoboCup 1999. RoboCup is the robot world cup soccer games and conferences. It offers the opportunity to examine a wide range of technologies in different research areas. RoboCup is a task for a team of multiple moving robots in a dynamic environment. In order for a robot team to actually perform a soccer game vario...
full integration of AI and robotics research. Following the success of the first RoboCup in 1997 at Nagoya (Kitano 1998; Noda et al. 1998) and the second RoboCup in Paris in 1998 (Asada et al. 2000; Asada and Kitano 1999), the Third Robot World Cup Soccer Games and Conferences, RoboCup-99, were held in Stockholm from 27 July to 4 August 1999 in conjunction with the Sixteenth International Joint...
In RoboCup-98, sparrows team worked hard just to get both a simulation and a middle size robot team to work and to successfully participate in a major tournament. For this year, we were in a better position to start some more serious research work. Aside of improvements in the robot hardware and an extension of the vision processing capabilities, we implemented a more complete version of our so...
The CMUMultiRobot Lab focuses on the study of team behavior in dynamic and uncertain environments. In order to further this research, we have developed an inexpensive autonomous robot platform, the Minnow. The CMU Hammerhead robot soccer team competes in the middle-size RoboCup competition using four of these Minnow robots. The 2001 CMU Hammerheads represent the evolution of the previous year’s...
This paper presents a nonlinear model based predictive controller (NMPC) for trajectory tracking of the Middle-size Omnidirectional Robots from the 5DPO Robotic Soccer team. The strategy proposed uses methods of numerical optimization to perform real time nonlinear minimization of the cost function. The cost function penalizes the robot position error, the robot orientation angle error and the ...
In RoboCup-98, ULM-Sparrows team worked hard just to get both a simulation and a middle size robot team to work and to successfully participate in a major tournament. For this year, we were in a better position to start some more serious research work. Aside of improvements in the robot hardware and an extension of the vision processing capabilities, we implemented a more complete version of ou...
This paper gives an overview about the approaches chosen by the middle size robot soccer team of the Munich University of Technology, the AGILO RoboCuppers. First a brief sytem overview will be given. Then the computational priciples are described. Finally the directions for further research are outlined.
This paper presents an optimized algorithm for robot localization which increases the correctness and accuracy of the estimating position of mobile robot to more than 150% of the past methods [1] in the uncertain and noisy environment. In this method the odometry and vision sensors are combined by an adapted wellknown discrete kalman filter [2]. This technique also decreased the computation pro...
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