首页> 外文期刊>International Journal of Innovative Computing Information and Control >TRAJECTORY PLANNING OF TWO COOPERATIVE MOBILE MANIPULATORS UNDER CLOSED-CHAIN AND DIFFERENTIAL CONSTRAINTS
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TRAJECTORY PLANNING OF TWO COOPERATIVE MOBILE MANIPULATORS UNDER CLOSED-CHAIN AND DIFFERENTIAL CONSTRAINTS

机译:闭链和微分约束下两个合作机动机器人的轨迹规划

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摘要

In this paper, we consider a new method for trajectory planning of two mobile manipulators for cooperative transportation of a rigid body. The method consists of constructing a graph on a portion of the configuration space that satisfies collision and closure constraints and searching the graph for the shortest possible path using an optimal graph search algorithm. Then, a sequence of time-optimal trajectories for movement between the consecutive points of the path is calculated. This approach allows for geometric constraints, such as joint limits and closed-chain constraints, along with differential constraints, such as nonholonomic velocity constraints and acceleration limits to be incorporated into the planning scheme. We also propose a heuristic method to keep the system from colliding with moving obstacles by adjusting a time scaling factor based on linear estimation of obstacles' position. Simulation results illustrate the effectiveness of the proposed method.
机译:在本文中,我们考虑了一种用于两个刚体协同运输的移动机械手轨迹规划的新方法。该方法包括在配置空间的一部分上构造满足碰撞和闭合约束的图形,然后使用最佳图形搜索算法在图形中搜索最短路径。然后,计算在路径的连续点之间移动的一系列时间最优轨迹。这种方法允许将几何约束(例如关节极限和闭链约束)以及微分约束(例如非完整速度约束和加速度极限)结合到规划方案中。我们还提出了一种启发式方法,通过基于障碍物位置的线性估计来调整时间比例因子,从而防止系统与移动障碍物发生冲突。仿真结果说明了该方法的有效性。

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