Obstacle avoidance path planning for free flying space robot is realized by the use of ant algorithm.
本文采用蚁群算法实现了自由飞行空间机器人的避障路径规划。
A path planning algorithm based on virtual target and an algorithm of obstacle avoidance are presented in decision making subsystem of robot.
针对足球机器人运动的决策子系统，提出了基于虚拟目标点的路径规划方法和避障算法。
The obtained results can not only been applied to the design and implementation of algorithm for avoidance obstacle path planning, but also been used to solve the problems of computational geometry.
取得的结果不仅可直接应用于避障路径规划算法的设计与实现，而且还可应用于计算几何中相关问题的求解。
The researches on collaboration strategy of MAS are focus on path planning, cooperative localization and cooperative obstacle avoidance.
多智能体协作策略的研究主要集中在路径规划，协作定位和协同避障等方面。
Most of them were theory researches, mainly on kinematical planning and optimization, especially in the case of obstacle avoidance.
其中大部分是理论研究，主要集中于运动学的规划与优化，尤其是避障的情况下的研究。
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。
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。
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