此方法基于相对坐标系，通过传感器信息实时调整机器人的行为来实现规划。
Motion planning is achieved by adjusting the robot behavior according to information from sensors based on the relative coordinates.
研究基于自主行为智能体的月球车运动规划与控制方法。
An approach based on autonomous behavior agent of lunar rover motion planning and controlling is presented.
在考虑网络中用户的路径选择行为满足概率型随机平衡的条件下，给出了交通网络设计的双层规划模型，同时设计了基于差分的启发式求解算法。
On the condition that the stochastic equilibrium restraints are satisfied as the network clients select the path, the author presents bilevel planning model for traffic network design.
最后，通过对基于行为学和微粒群算法的路径规划方法的MATLAB仿真，验证了本文算法的有效性。
At last, validate the effectiveness of the algorithm by simulation of the Path Planning algorithm base on Behavior and Particle Swarm Optimization in MATLAB.
针对路径规划本文分析研究了基于行为的运动控制算法，将其应用于室外移动机器人的导航控制中。
Then the behavior based motion control method is analysed and is applied in the outdoor mobile robot navigation.
针对路径规划本文分析研究了基于行为的运动控制算法，将其应用于室外移动机器人的导航控制中。
Then the behavior based motion control method is analysed and is applied in the outdoor mobile robot navigation.
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