Time Dependent Meta-Knowledge Systems for Robotic Control

这是一份核磁共振计划拨款提案，其研究将试图设计一种更智能、更现实的机器人任务规划器，能够在时间有限的环境中在不确定的情况下有效地运行。该系统的元知识结构将确保在不明确的环境下正常运作。该系统还将包括基于贝叶斯神经模型的学习机制。

This is a MRI planning grant proposal whose research will attempt to design a more intelligent and realistic robotic task planner that will be able to operate effectively under uncertainty in a time constrained environment. The meta-knowledge structure of the system will insure proper functioning under ill-defined environments. The system will also include a learning mechanism based on a bayesian--based neural model.