将社会势场与基于行为控制相结合，使得群体机器人形成聚集队形，避开未知环境中的障碍物并到达目标区域。
Social potential fields were combined with behavior-based control, which made swarm robots forming aggregation formation, avoiding the obstacles in unknown environment and reaching target area.
本文完成了其部分内容的研究，包括：机器人基于行为控制方法和策略的探讨，移动机器人视觉技术的分析研究，主动视觉在机器人行为控制技术中的应用等。
This paper has accomplished part work of it, include: the research on the behavior based control method, the visual technique of robot and the application of active vision on behavior based robot.
全部新控制器都将基于修改过的模板代码（有些人会加入 def scaffold = @artifact.name@，这样动态搭建就会成为所有控制器的默认行为）。
Some people add def scaffold = @artifact.name@ so that dynamic scaffolding is the default behavior for all of their controllers.
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