Mobile Autonomous Robot
Remove the barrier of learning the autonomous mobile robots. Access everything you’ll need in a ready-to-use package.
OVERVIEW
ACROME Autonomous Mobile Robotics Kit is a hands-on, ready-to-use kit curated to start learning and developing yourself in the world of autonomous mobile robots. Kit contains the popular Turtlebot mobile robot, with a step-by-step curriculum and example codes to start.
SOFTWARE
- Python
CONTROLLER
- Raspberry Pi + Shield
PRODUCT PHOTOS



FEATURES
Easy to use and popular components
Companion documentation and technical support
Optional high-resolution camera for Line-Follower Applications
Assembled Turtlebot Mobile Robot
Raspberry Pi flash disks for Running Example Projects out-of-the-box
Recovery image file for the example application
FAQs
What is Mobile Autonomous Robot?
A Mobile Autonomous Robot is an autonomous wheel based robot that can navigate autonomously, ie. without a human interaction.
What is a Mobile Autonomous Robot used for?
Mobile Autonomous Robots are used for many different daily tasks such as manufacturing, logistics, entertainment. They are also used for teaching and research in the robotics engineering discipline.
What are the types of autonomous mobile robots?
3 pre-dominant mobile robot types exist. These are legged mobile robots, wheeled mobile robots and snake-like flexible mobile robots. The differential-drive, synchro-drive and Ackermann-drive types are the most popular wheeled mobile robot types in robotics.
Are there other drive types avaialbe for the ACROME's Mobile Autonomous Robot?
ACROME offers differential-drive and Ackermann-drive typed mobile robot options.
Does the product comes with a controller and software/courseware?
Product comes with the controller, software with example source codes.
Is there any after-sales support or training for the product?
A complimentary online support session is available after the delivery of the products. Standard support is provided via the phone, e-mail or remote desktop connection.
CURRICULUM
COMPONENTS OF THE KIT
Turtlebot Burger
Pre-installed Flash Disk for Example Applications
Instructions for Do-It-Yourself 3D printing obstacles
Optional obstacles
Pre-installed Flash Disk for Example Applications
Instructions for Do-It-Yourself 3D printing obstacles
Optional obstacles
INTRODUCTION TO ROBOT OPERATING SYSTEM
ROS Concepts
Running ROS
Developing ROS Nodes
ROS Communication
Gazebo Simulation
ROS Navigation Stack
Running ROS
Developing ROS Nodes
ROS Communication
Gazebo Simulation
ROS Navigation Stack
EXAMPLE APPLICATION #1
Obstacle Avoidance Application Basics
Navigation with Turtlebot
Navigation with Turtlebot
EXAMPLE APPLICATION #2
SLAM Basics
Navigation with Turtlebot
SLAM with Turtlebot
Maze Application with Turtlebot
Navigation with Turtlebot
SLAM with Turtlebot
Maze Application with Turtlebot
RELATED BLOGS
AI Robotics Case - Controlling SMD Mobile Robots with Groq
10Min
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.
AI Robotics Case - Controlling SMD Mobile Robots with Groq
10Min
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.













