My Path to Robotics

It was not until the beginning of 2006 that I started working on robotics. But when I started I was deeply immersed in this field, and my recent focus on micro clamping based on the principle of electrowetting is this effect. From the beginning of college to the latest graduate level I have gradually studied my trends in robotics, electrowetting, microfluidics energy harvesting, particle separation CFD and these topics.

For me, robotics does not have the right path. All you need is the right toolset. It is not so easy to be a full time job at a robot company and to be recognized. At the final stage of my career, I met many people who claim to be undergoing core robot background or robot training. And these training should prove that they hire reasonably. They are wrong, they just do not have the right skills, and you can see them in a week's work. If you do not know, robot simulation is an essential tool for every robot expert toolbox. Properly designed simulators quickly test algorithms, design robots, run regression tests using pseudo-real scenes, reduce costs and shorten development time to run virtual tests .

In robot engineering called robot path planning, a path without collision is found in an obstacle from the start position of the robot to the destination. Many mobile robots are currently being developed and deployed in many practical applications such as factory automation, underground mining, military surveillance, and even space exploration. In these applications, mobile robots usually operate in an unknown harsh environment. In order to survive, these robots must be able to survive on an ongoing basis.

The new way of robotics engineering involves robots that can make decisions in an environment that is predominantly unstructured. The most controversial example today is probably autonomous vehicles, which must make decisions in the real world rather than making decisions in a defined, pre-planned environment. However, there are other broad meanings as well. Companies that are struggling with automation for soft material processing and rapidly changing product portfolios are now facing enormous automation costs. However, next generation robots can change this by quickly learning new tasks with small data without programming.

About three years ago, the company found a new simple automation approach, Robotic Process Automation (RPA). "Robot" software does not completely replace the core process, but it is used to mimic the behavior of human workers and the company can expand labor force indefinitely. This approach has proven to be very effective and requires minimal process change, data integration or analysis. ROI is a wise choice, as the cost of software robots is low (usually $ 5 to $ 10,000 per year), robots can replace 3 to 5 workers. Even small businesses and teams are fresh and simple alternative to BPM's "Large Payment" that can achieve high ROI in a few weeks. Furthermore, the RPA process does not necessarily require hard programming functions, so you can control your business.