Motion control for omni-drive servicerobots under Kinematic, Dynamic And Shape Constraints

Timo Blender, C. Schlegel
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引用次数: 3

Abstract

In this paper, a fast reactive obstacle avoidance approach for omnidirectional driving is presented. The method is based on the dynamic window approach, but uses a cuboid instead of a window to limit the 3-dimensional search space accordingly to the dynamic constraints of the robot. Besides the kinematics and dynamics, the presented approach also considers the shape of a robot. To cope with the effort of the time consuming distance calculations, the remaining distance values are precalculated in an offline part and provided by a lookup table. This procedure is based on the Curvature Distance Lookup (CDL) approach which is extensively used in several real world robotic applications but which was so far only implemented for 2-DOFs. During the online phase, the extended approach enables the selection of a motion command from a wide range of curvatures (3-DOFs) within the current dynamic cuboid. The distance values are queried from the corresponding lookup table entries depending on the occupancy grid determined by latest sensor information. The reduced computational effort of the control loop allows to consider obstacle information from corresponding sources to the full extent and without preprocessing. Furthermore, complex heuristics can be implemented to evaluate a high number of omni-drive velocity triples in such a way that the driving behavior of the robot is influenced accordingly.
运动学、动力学和形状约束下全驱动服务机器人的运动控制
提出了一种面向全向行驶的快速反应避障方法。该方法基于动态窗口方法,但根据机器人的动态约束,使用长方体代替窗口来限制三维搜索空间。除了运动学和动力学外,该方法还考虑了机器人的形状。为了处理耗时的距离计算,剩余的距离值在离线部分中预先计算并由查找表提供。该过程基于曲率距离查找(CDL)方法,该方法广泛用于几个现实世界的机器人应用,但迄今为止仅用于2自由度。在在线阶段,扩展方法可以从当前动态长方体内的广泛曲率(3-DOFs)中选择运动命令。根据最新传感器信息确定的占用网格,从相应的查找表项查询距离值。减少了控制回路的计算量,可以充分考虑来自相应源的障碍物信息,而无需预处理。此外,可以实现复杂的启发式来评估大量的全驱动速度三元组,从而相应地影响机器人的驾驶行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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