Mechatronic World

MTRN4230 Robot System Integration Project (ABB IRB120 Robot) Objective: Learn about a robot environment and design them to work efficiently. Introduction: For this group assignment, we designed a user interface which allows the customer to control the robot to any possible configuration. This interface must be able to interact with robot system with any feasible command. To drive the robot to a specific position, two camera feeds must be displayed so as to control it safely and efficiently. In addition, the information of robot state such as joint angles, ZYX orientation and designed speed also is provided simultaneously. In such manner, we can test evaluate the performance between the real robot system and simulated robot system. Summary: The purpose of this project is to control robot to achieve the moment of pick and place by a custom interface. To approach this problem, it is feasible to solve by four sections. They are user interface (MainGui) design, robot frame construction, (Ma...

The fundamental knowledge of Machine Learning  It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based on large amounts of data. Some of the most common examples of machine learning are AlphaGo, Google clouds and Google self-driven automobile that have great performance than those have completed by human  Machine learning algorithms can be divided into 3 broad categories — supervised learning, unsupervised learning, and reinforcement learning. Supervised Learning 1. Decision Trees : A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance-event outcomes, resource costs, and utility. Take a look at the image to get ...