TECHNOLOGY

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.

The Virtual Pivot Point (VPP) is an essential feature for precise motion control in robotic applications. Integrating VPP capabilities with Stewart Platforms enables the easier development of complex systems.

This project used an LLM (Large Language Model) to control a robot made with SMD (Smart Motion Devices) components by interpreting natural language commands and converting them into precise robot actions. The sequence is as follows: 1) Command Processing: The LLM interprets user commands 2) Function Calling: Maps commands to robot functions 3) Action Sequencing: Organizes and executes complex tasks 4) Robot's Motion: Executed via Smart Motion Devices high-level APIs. A Raspberry Pi manages the robot’s control, and a user interface created with Streamlit allows for natural language command input.

The goal of this project is to use a Flask API to control a robot that was constructed using Smart Motion Devices (SMD) from ACROME. The Raspberry Pi-based solution enables remote robot control via a web interface or mobile device by using Flask to parse HTTP requests and translate them into motor control commands. SMD offers accurate motor control, and Flask makes it possible for a thin and effective control interface. Three main commands are rotation, radial movement, and linear movement. The API is RESTful and communicates via common HTTP methods like POST. Applications such as smart homes, robotics research, and industrial automation can benefit from the system. Future developments might include improved security for crucial use cases and AI integration for autonomy.

This blog post describes the basics of the 5-bar parallel robots -aka- five bar linkage and how to build one using ACROME's Smart Motion Devices and DC brushed motors. Sample Python codes are provided.

This blog post is an introduction on building Autonomous Mobile Robots. Acrome's Autonomus Mobile Robot is given as an example system with its bill of materials (BOM) list, example code and further development topics of SLAM, AI and ROS.

An introductory article about robotic manipulators. The article focuses on robotic manipulators, especially the serial robotic arms, and provides information on how to build such a robotic arm with a high-level list of requirements.

The article discusses the applications of Brushed DC motors, particularly when paired with ACROME's Smart Motion Devices (SMDs). SMDs are designed to control these motors with high precision and efficiency. They come with built-in safety features and a PID controller for more precise control. They also support daisy-chaining, which allows multiple SMDs to be connected together, reducing wire clutter and making projects more manageable.

Brushed DC Motor Drivers are essential in the field of robotics and automation. They convert low-voltage control signals into a high power signal suitable for driving a motor. This process allows for controlling the speed and direction of motors. They are commonly used in robotics, automation systems, and electric vehicles. Acrome's Smart Motion Devices (SMD) - Brushed DC Motor Version is a standout product with features like Python API, Arduino Library, RS-485 protocol for efficient control of multiple motors, and an Auto-Tuner for optimal performance.

Executing a custom motion pattern, whether a single motion axis or with multiple axes is a special topic of mechatronics and robotics as well. In this blog, we explain how ACROME's Hexapod Positioner (aka Stewart Platform) can be used to generate custom motions in 6 DoF space.

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.

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.

Robotics labs are educational environments that support the growth of experienced professionals who will operate in this industry as well as environments where robotics research can advance to improve our quality of life.

There are a lot of methods for controlling the system manually and automatically. The most well-known automatic control methods are logic control, on-off control, and PID control. In this article, we will talk generally about automatic control systems, but especially the PID control systems.

The Delta Robot is an example of a parallel robot. It has three arms that are joined at the base by universal joints. The usage of parallelograms in the arms, which preserves the end effector's alignment, is the fundamental design element.

Mechatronics, also known as mechatronic engineering, is a multidisciplinary engineering field that focuses on the design of both electrical and mechanical systems, as well as robotics, electronics, computer systems, control, and product engineering. A Mechatronics Design Lab is a fabrication shop and classroom with equipment for creating microprocessor-controlled electromechanical systems.

At the age of technology, the usage of robotics knowledge in higher education is only to be expected. There are even initiatives launched by certain national education authorities on the issue and they aim to incorporate robotics-based projects into new curricula. These initiatives, however, are far from successful since the robotics knowledge remains peripheral to the chief study plans and continues to be apart of the extra curricular or summer activities.

The linear inverted pendulum (or linear pendulum, lin. pen for short) is a classical physics experiment used to explain the control theory and system dynamics. Therefore, it has been used as one of the primary systems used to test and compare control strategies. In an inverted pendulum system, which is an open-loop unstable system, it is desired to stabilize the system by reciprocating motion to stabilize it. It is also used as a common method for testing control algorithms.

The device, called the Stewart Platform, was first designed in 1954 by V. Eric Gough from England. It is classified as a parallel manipulator device that is used for positioning and motion control.

In this whitepaper, we are exploring Python® language support of ACROME’s educational robotic systems.

Here is a good list that encapsulates what could be done with a decent quality ball balancer system: 6 different control lab experiments.

2018 was such a productive year for robotic developments. Different kind of industries like medical, bio, domestic and toy segments have all made brilliant advances with the help of artificial intelligence.

Stepper motors are the motors that operate with very precise signals. They change the angular position step by step with the pulse signals applied to the motor input. The stepper motors, which convert digital inputs into analog rotational motion, are also known as "digital machines".