摘要
由一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于机器人的最新研究结果已经发表。根据本哈大学BY NewsRx记者的新闻报道，研究表明：“本文的主要课题是如何开发高效机械零件的拣放台达机器人并对其进行合理组装，并在视觉计算机系统的支持下建立电气接线图。”我们的新闻编辑引用了Benha大学的研究成果：“该系统成本低，解决了制造该机器人的许多问题，电气部分主要由主从两部分组成，主从为Raspberry PI，从为Arduino，主从为视觉检测对象，Arduino为运动学方程求解、将电机移动到目标位置。”在液压系统中用吸盘拉动物体的过程中，VISON系统经过几个步骤，通过颜色范围检测物体，轮廓盒将真实位置发送给工件，实验过程证明了DELTA机器人视觉系统在输送机系统分拣过程中的有效性和准确性。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on robotics have been published. According to news reporting originating from Benha University b y NewsRx correspondents, research stated, “The main topic of this paper is how t o develop pick and place delta robot with high efficiency mechanical parts and p rosaically assemble it, additionally built electrical wiring diagram all of this supported by vision computer system.” Our news editors obtained a quote from the research from Benha University: “The system has a lowcost part and solves many problems to build this robot. Electri cal section has two main components master and slave the master is raspberry pi and slave is Arduino, master is used to vision detect object and Arduino is used to invers kinematics equation, move motors to target position, control in hydra ulic system to pull the object with suction cup. The process of vison system is passing through some steps, detect the object by color range, contouring box the n send the real position to an Arduino. The experimental process proved the effe ctiveness and accuracy of the delta robot vision system in the sorting process f rom conveyor system.”
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