基于时基发生器的人工势场机器人仿生轨迹生成

T. Tsuji, Yoshiyuki Tanaka, P. Morasso, V. Sanguineti, M. Kaneko
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引用次数: 79

摘要

针对实时机器人运动规划问题,提出了一种基于人工势场法的轨迹生成方法,该方法可以完全控制机器人的瞬态行为,即到达目标的时间和速度剖面。事实上,很少有人注意到这类路径规划方法的时间方面。然而,控制到目标的运动时间以及生成轨迹的速度剖面的能力在实际应用中具有很大的兴趣。在本文中,我们认为这种暂态行为应该在人工势场方法的框架内考虑。
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Bio-mimetic trajectory generation of robots via artificial potential field with time base generator
This paper proposes a new trajectory generation method that allows full control of transient behavior, namely, time-to-target and velocity profile, based on the artificial potential field approach for a real-time robot motion planning problem. Little attention, in fact, has been paid to the temporal aspects of this class of path planning methods. The ability to control the motion time to the target as well as the velocity profile of the generated trajectories, however, is of great interest in real-life applications. In the paper, we argue that such transient behavior should be taken into account within the framework of the artificial potential field approach.
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