In this work, we present a robotic arm assisted by a visual system to decide whether an object with different colors, parallel flat surfaces and other types of surfaces would be subject to be manipulated without a drop risk. This robotic arm is assisted with sensors such as temperature, humidity, artificial vision, etc. and monitored with a Blockchain Internet of Things (BIoT) expert system assistance, which is shared and accessed by the internet by the users. A prototype for industrial purpose is launched to start providing data for training the expert system, achieving in this way an expert system with machine learning. The variations derived from the identification of the reference points and the characteristics of the robotic arm are a limiting factor of the system, however, it was possible to correctly locate the robotic arm in the workspace to take the object and manipulate it using machine learning based on a BIoT expert system.

中文翻译：

---

具有 BIoT 机器学习系统的机械臂

在这项工作中，我们展示了一个由视觉系统辅助的机械臂，以确定具有不同颜色、平行平面和其他类型表面的物体是否可以在没有掉落风险的情况下进行操作。该机械臂由温度、湿度、人工视觉等传感器辅助，并通过区块链物联网 (BIoT) 专家系统辅助进行监控，用户可以通过互联网共享和访问。推出用于工业用途的原型，开始提供用于训练专家系统的数据，从而实现具有机器学习的专家系统。然而，来自参考点识别和机械臂特性的变化是系统的限制因素，