Acrome blog

Using a flight joystick to control a Stewart platform provides intuitive and precise movements, resulting in a more immersive experience. Customizing the joystick's settings is key to achieving desired control levels.

This blog will focus on the importance of ABET accreditation and discuss the role of laboratory experiment systems in the accreditation process.

Explore the implementation of a PID controller on the STM32 platform to achieve optimal performance in controlling the position of a ball on a balancing table.

One of the key real-life applications of using oscillation movement in a Stewart platform is in the field of flight or sea state simulation.

Flying is a movement that human beings cannot do under natural conditions, but they can do with the tools they have invented. Vehicles such as helicopters, and airplanes, are produced for such situations. Although it may seem easy to move at first glance, there are too many factors to be controlled by the pilot to operate/fly these vehicles.

First of all, what is a hexapod? Hexapod is a Latin word that means “six feet”. That means a hexapod robot will consist of 6 actuators that can either be formed like a parallel arm Stewart Platform or legs like the Spider robots.

This article explains how to use PID controllers to solve a real-world balance problem. We need to calculate PID gains to do so. Let’s examine real-life balance problems with ACROME's Ball Balancing Table and Ball and Beam.

Control engineering is a branch of mechanical, electrical, and software engineering that deals with the design and application of control systems. The control engineering department has bachelor's programs (generally 4-year education) as well as master's and Ph.D. programs as well. As an engineering discipline, the graduates are titled as Control Engineers.

ACROME’s educational Delta Robot is now open-source thanks to native Python support!

Stewart Pro Platform has 2 new hardware features. These features help the platform to be more durable and more precise!