Çimen, Gökçen2016-01-082016-01-082014http://hdl.handle.net/11693/18340Ankara : The Department of Computer Engineering and The Graduate School of Engineering and Science of Bilkent Univesity, 2014.Thesis (Master's) -- Bilkent University, 2014.Includes bibliographical references leaves 55-59.In real world, it is crucial to learn biomechanical strategies that prepare the body in kinematics and kinetics terms during the interception tasks, such as kicking, throwing and catching. Based on this, we presents a real-time physics-based approach that generate natural and physically plausible motions for a highly complex task- ball catching. We showed that ball catching behavior as many other complex tasks, can be achieved with the proper combination of rather simple motor skills, such as standing, walking, reaching. Since learned biomechanical strategies can increase the conscious in motor control, we concerned several issues that needs to be planned. Among them, we intensively focus on the concept of timing. The character learns some policies to know how and when to react by using reinforcement learning in order to use time accurately. We demonstrate the effectiveness of our method by presenting some of the catching animation results executed in different catching strategies.In each simulation, the balls were projected randomly, but within a interval of limits, in order to obtain different arrival flight time and height conditions.xii, 59 leaves, graphics, illustrationsEnglishinfo:eu-repo/semantics/openAccessBall Catching SimulationPhysics-Based Character AnimationRein-forcement LearningTA1634 .C56 2014Human mechanics--Research.Motion--Computer simulation.Computer animation.Biomechanics.ThesisB147667