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Spatio-Temporally Constrained Planning for Cooperative Vehicles in a Harvesting Scenario

机译:收获情景下合作车辆的时空约束规划

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摘要

The marion project aims at automatizing the working processes in the intralogistics and agriculture through process and motion planning of mobile cooperative machines. This paper focuses on the agricultural scenario of wheat harvest. The harvesting process with cooperative machines is a challenging task because the machines' actions influence and constrain each other spatio-temporally. In marion, algorithms from robotics are adapted to solve the planning problem under the basic conditions of high dynamics in process execution due to yield deviation and limited communication bandwidth of the radio communication. The developed planning system generates and optimizes the overall plan for all involved cooperative machines regarding multiple criteria.
机译:marion项目旨在通过移动合作机器的过程和运动计划使内部物流和农业中的工作过程自动化。本文着重于小麦收获的农业情景。协作机器的收割过程是一项具有挑战性的任务,因为机器的动作会在时空上相互影响和相互制约。在过去,由于良率偏差和无线电通信的有限通信带宽,来自机器人技术的算法适用于解决过程执行过程中具有高动态性的基本条件下的计划问题。开发的计划系统会针对所有涉及多个标准的合作机器生成并优化总体计划。

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