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Application of Simulated Annealing to Dexterous Object Manipulation with Multiple Agents

机译:用多种子试剂模拟退火对抗仪对象操纵的应用

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The manipulation task (called object re-configuration problem) is stated as the following: given an initial grasp of the object find the motion's trajectories of the agents to move the object to the desired configuration. In general collision free paths for all agents must be ound toward the contact points on the object (pre-grasp configuration) and the grasping and manipulation forces should then be exerted on the object by the agents. These forces are determined first to ensure a stable grasp, then to manipulate the object. We present a model based motion planner algorithm for manipulating agents for object re-configuration using simulated annealing (SA) algorithm for generating the relative motion between the object and agents. The motion of the agents relative to the object can be pure sliding, pure rolling, breakin gcontact and agent relocation is allowed. The motion of the agents relative to the object can be pure silding, pure rolling, breaking contact and agent relocation is allowed. The motion sequence is represented by a relative velocity matrix. The algorithm can be used for example to move a known shaped object to a different position and orientation with a robotic hand. Simulation results are presented.
机译:说明操作任务(称为对象重新配置问题)如下:给定对象的初始掌握,查找代理的动作的轨迹将对象移动到所需的配置。在一般的碰撞中,所有剂的自由路径必须朝向物体上的接触点(预先抓握配置),并且抓握和操纵力应由试剂施加在物体上。首先确定这些力以确保稳定抓握,然后操纵物体。我们介绍了一种基于模型的运动规划算法,用于使用模拟退火(SA)算法来在对象重新配置进行对象重新配置的运动规划算法,用于在对象和代理之间产生相对运动。相对于物体的试剂的运动可以是纯滑动,纯轧制,断裂GCNContact和试剂重新定位。相对于物体的试剂的运动可以是纯度溶解,纯轧制,断裂接触和试剂重新定位。运动序列由相对速度矩阵表示。该算法可以用来用来将已知形状的物体移动到不同的位置和方向与机器人手。提出了仿真结果。

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