Acrome blog

This article explains the basic concepts, control methods, and application areas of MIMO systems. Beyond the traditional PID control approach, the importance of modern methods such as LQR/LQG and non-linear control is emphasized. In addition, the benefits of ACROME's 3-DoF Copter kit — sensor support and simulation, thrust measurement, dynamic modeling, and advanced control experiments — are discussed.

Learn to build real-world machines that work in theory and perform in practice. Check the real-world examples of control with Ball and Beam and Pendulum.

Check this article about a State Feedback Controller implemented on Acrome's Ball Balancing Table. Covers hardware, theoretical principles of state feedback and pole placement, and a practical MATLAB/Simulink implementation. Also demonstrates controller gain calculation, controllability checks, and presents simulated results, emphasizing the educational application of modern control techniques.

Digital twins are crucial in robotics and mechatronics for design, manufacturing, predictive maintenance, and training. This document highlights how to use the digital twin of ACROME Ball and Beam system, modeled in MATLAB Simscape.

Admittance control allows robots to respond smoothly and safely to external forces, making it essential in human-robot interaction, rehabilitation, haptics, and Tesla’s humanoid robot Optimus. This article explores its core principles, sensor challenges, and real-world applications.

Build a next-generation mobile robot system combining the power of the ESP32 microcontroller and the precision of the Acrome SMD Red motor driver. This project enables Wi-Fi-based teleoperation, live video streaming through ESP32-CAM, and highly accurate motion control with DC motors, a linear actuator, and servo modules. Designed for research, industrial automation, and advanced robotics, the system offers seamless hardware-software integration and real-time operation with Acrome’s reliable motion technology.

SMD Blockly is a visual programming tool by Acrome that lets users control motors and motion devices without writing code. Built on drag-and-drop blocks, it simplifies complex motion control tasks for beginners, educators, and professionals. With features like error-free logic, real-time execution, and open-source flexibility, SMD Blockly makes motion control fast, intuitive, and accessible.

Teleoperation, or remote robot control, enables human operators to manage robotic systems from a distance using various control interfaces such as mobile applications, keyboards, and joysticks. Unlike autonomous robots, teleoperated systems require real-time human input, providing greater precision and adaptability. This technology is widely used in industries like healthcare, defense, space exploration, and manufacturing. Acrome SMD robots offer multiple teleoperation methods, including mobile app-based, keyboard-controlled, and joystick-driven interfaces, allowing users to achieve flexible and accurate robotic motion control.

ACROME Robotics integrates Groq AI with SMD motion devices to enable AI-powered mobile robot control with real-time decision-making and natural language command processing. The system consists of SMD RED motors, Raspberry Pi (Flask API), ultrasonic sensors, and a battery system, while the Flutter-based Android app provides user interaction. Groq AI processes voice or text commands, translating them into precise robot movements, optimizing navigation, and analyzing sensor data for predictive maintenance. Additionally, the system leverages LLama 3.3-70B Versatile for enhanced AI-driven responses, improving real-time adaptability, automation, and cloud integration, making it ideal for robotics applications in education, industry, and smart automation.

This article highlights the Delta Robot's potential in educational settings while examining its use as a teaching aid for students studying automation. It addresses a number of subjects:1. Overview of Delta Robots: A small parallel robotic arm called a Delta Robot is perfect for teaching motion and kinematics concepts.2. Kinematic Equations: Its ability to precisely control its movements is made possible by its forward and inverse kinematics.3. Conveyor Application: To demonstrate object recognition and accurate handling, the Delta Robot is integrated with a conveyor system.4. Pixel to Real-World Conversion: An approach that converts camera-captured pixels to actual coordinates, which is essential for placing objects.5. Shape Detection Algorithm: The robot recognizes shapes like squares and circles using image processing, modifying its behavior accordingly.