Close Encounter With a Prickly Soccer Ball: An Injury From an Indian Crested Porcupine
نویسندگان
چکیده
منابع مشابه
An Encounter with Graphs
So far diagnosis of some problems we came across during our works with algorithms, graphs played significant roles. In this paper, we have tried to show that graphs really occupy a major role in computer science and engineering. The abstraction of problems as different graph models as well as graphs in digital system design methodology allows us to have a close look or refresher outlook on grap...
متن کاملAn Efficient Algorithm for Detection of Soccer Ball and Players
In this paper we propose an effective algorithm for detection of a soccer ball and players. In the currently available methods, the ball may not be detected when it is attached to the lines in the ground. To overcome this problem, we introduce a method to separate lines from the ball and segment the ball effectively. At first we detect the ground and the edges of the original image. Then an eff...
متن کاملOpponent-Aware Ball-Manipulation Skills for an Autonomous Soccer Robot
Autonomous robot soccer requires effective multi-agent planning and execution, which ultimately relies on successful skill execution of individual team members. This paper addresses the problem of ball-manipulation for an individual robot already in possession of the ball. Given a planned pass or shoot objective, the robot must intelligently move the ball to its target destination, while keepin...
متن کاملEarly Clinical Encounter: Report of an Intervention
Introduction. Encountering clinical environments as an inseparable part of studying medicine could bring about tension and anxiety for medical students. Early clinical exposure has been suggested in order to decrease these stresses and to motivate students for a better attitude and awareness. This study was performed to determine the effect of a short-term period of exposing to clinical envi...
متن کاملLearning Robot Soccer from Demonstration: Ball Grasping
We approach floor-level robotic manipulation from a Learning from Demonstration direction. In this paradigm, a robot learns new tasks in new environments from observations of the task itself. Many current robot learning algorithms require the existence of basic behaviors that can be combined to perform the desired task. However, robots that exist in the world for long timeframes may exhaust thi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Wilderness & Environmental Medicine
سال: 2018
ISSN: 1080-6032
DOI: 10.1016/j.wem.2018.01.003