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Towards Real-Time Robotic Motion Planning for Grasping in Cluttered and Uncertain Environments

机译:走向实时机器人运动规划,以在混乱和不确定的环境中进行抓取

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Coventry, UK Adaptation to unorganized, congested and uncertain environment is a desirable capability but challenging task in development of robotic motion planning algorithms for object grasping. We have to make a tradeoff between coping with the environmental complexities using computational expensive approaches, and enforcing practical manipulation and grasping in real-time. In this paper, we present a brief overview and research objectives towards real-time motion planning for grasping in cluttered and uncertain environments. We present feasible ways in approaching this goal, in which key challenges and plausible solutions are discussed.
机译:英国考文垂适应无组织,拥挤和不确定的环境是开发用于对象抓取的机器人运动计划算法的一项理想功能,但任务艰巨。我们必须在使用昂贵的计算方法应对环境复杂性与执行实际操作和实时掌握之间做出权衡。在本文中,我们对在混乱和不确定的环境中进行抓取的实时运动计划进行了简要概述和研究目标。我们提出了实现此目标的可行方法,其中讨论了关键挑战和可行的解决方案。

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