Turtlebot 3 Waffle

Name: Turtlebot 3 Waffle
Brand: ROBOTIS

Advanced ROS-based research and education mobile platform

$1,799 – $1,899

The TurtleBot 3 Waffle is a premium mobile robot platform designed for ROS-based research, education, and prototyping applications. Featuring an Intel RealSense depth camera, 360-degree LiDAR, and powerful onboard processing with an Intel Joule or equivalent SBC, it enables advanced navigation, SLAM, and autonomous capabilities. This open-source platform is ideal for universities, research labs, and developers working on mobile robotics applications.

Released: 2017

Overview

The TurtleBot 3 Waffle represents the premium tier of ROBOTIS's award-winning TurtleBot 3 series, which has become one of the world's most popular open-source mobile robot platforms. Built on the foundation of ROS (Robot Operating System) compatibility and modular design, the Waffle model expands capabilities with enhanced sensors and processing power for sophisticated robotics applications.

Designed in collaboration with Open Robotics, the TurtleBot 3 Waffle features a larger footprint than its Burger sibling, providing more space for additional sensors, compute modules, and experimental payloads. The platform includes a 360-degree LDS-01 LiDAR sensor and Intel RealSense D435 depth camera as standard equipment, enabling advanced 3D perception and mapping capabilities.

The Waffle's open-source nature and comprehensive ROS support make it an ideal choice for academic institutions, research laboratories, and professional developers seeking a reliable platform for autonomous navigation research, SLAM algorithm development, and robotics education at the university level.

Key Features

360° LDS-01 LiDAR: Provides real-time 360-degree laser distance scanning for precise environmental mapping and obstacle detection
Intel RealSense D435: Depth camera delivering 3D point cloud data for advanced perception and object recognition tasks
Modular Design: Open-source hardware with customizable robot plates and expansion options for additional sensors and payloads
DYNAMIXEL XL430-W250-T Servos: Smart actuators with embedded sensors providing precise wheel control and feedback
OpenCR1.0 Controller: Dedicated embedded board for real-time motor control and sensor integration with full ROS support
Multiple SBC Support: Compatible with Raspberry Pi, Intel Joule, and other single-board computers for flexible computing configurations
Comprehensive Software Stack: Full ROS and ROS2 support with pre-built packages for navigation, SLAM, manipulation, and simulation

Applications

The TurtleBot 3 Waffle is widely deployed in university robotics programs and research laboratories worldwide for teaching autonomous navigation, computer vision, and machine learning concepts. Its robust sensor suite makes it particularly valuable for SLAM research, multi-robot coordination experiments, and human-robot interaction studies. Educational institutions use the platform to provide hands-on experience with ROS, enabling students to transition from simulation to real hardware seamlessly.

In research and development contexts, the Waffle serves as a testbed for autonomous navigation algorithms, sensor fusion techniques, and AI-based decision-making systems. Companies and startups use it for rapid prototyping of service robot applications, warehouse automation concepts, and autonomous delivery solutions before scaling to custom platforms.

Technical Highlights

The TurtleBot 3 Waffle's technical architecture showcases intelligent integration of perception and control systems. The combination of 2D LiDAR for fast, accurate planar scanning and the Intel RealSense depth camera for 3D perception provides complementary sensor data that enables robust autonomous navigation in complex environments. The OpenCR1.0 controller board features an ARM Cortex-M7 processor running at 216MHz, handling real-time motor control and sensor preprocessing while communicating seamlessly with the higher-level SBC running ROS.

The platform's differential drive system with DYNAMIXEL smart actuators provides exceptional motion control with built-in PID control, position/velocity/current sensing, and daisy-chain communication over a single bus. This allows for precise odometry and smooth trajectory following essential for research applications. The modular mechanical design with standardized mounting plates and open CAD files enables researchers to easily customize the platform, adding manipulators, additional cameras, or specialized sensors without redesigning the core system.