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.
应用推荐