Decision Mechanisms for Interactive Character Animations in Virtual Environment

摘要：

　　Recently, interactive character animations in computer games are mainly rely on motion-captured or carefully crafted motion clips.However,it is impractical and difficult to provide motion data samples for all possible behaviors with creating realistic responses to unexpected changes in the world.In order to control characters animations more precisely and realistically in real-time, an decision mechanism that synthesizes animations with interaction between characters in virtual environment is necessary.An efficient near-optimal interactive motion controller that can intelligently adopt the input motion data to a dynamically changing virtual environment is present.The controllers using reinforcement learning to reduce the data requirement by finding the most effective set of motion data to create the desired behaviors, and can be used as basic components in global path planning, and it further reduces the computational processing burden in the real-time interactive applications.

关键词： Realistic character Motion graph Reinforcement learning

作者: Du Jun Qiang Liang

作者单位: Simulation Center, Academy of Armored Force Engineering,No.21 Dujiakan, Fengtai District, Beijing 100072, China

会议类型: 国际会议

会议名称: 10th Conference on Image and Graphics Technologies and Applications(第十届图像图形技术与应用学术会议)

会议地点: 北京

会议语种:英文

页码: 317-323

在线出版日期: 2015-06-19（万方平台首次上网日期，不代表论文的发表时间）