Aiming at the problem of real-time obstacle avoidance for autonomous virtual humans in dynamic unknown environment, this paper presents a path planning model based on the mixed perception information.
针对动态未知环境下的自主虚拟人实时避障问题，提出一种基于混合感知信息的路径规划模型。
RAPM can abstract the entities in Internet, classify real-time information and get those on the Internet through autonomous perception to build paths.
机器人自主感知模型通过抽象各种网络实体，对网络信息进行分类搜索，自主感知实时的网络传感信息，从而动态规划机器人路径。
They spread like viruses, resistant to the passage of time, in an endless game of mutations where they constantly interfere with the perception of the "real".
在这无穷尽的变异过程中，它们就象病毒一样，不受时空限制，改变人们对肉眼可见的真实世界的传统解读方式。
They spread like viruses, resistant to the passage of time, in an endless game of mutations where they constantly interfere with the perception of the "real".
在这无穷尽的变异过程中，它们就象病毒一样，不受时空限制，改变人们对肉眼可见的真实世界的传统解读方式。
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