TurtleBot

TurtleBot
Name	TurtleBot
Manufacturer	Willow Garage; Open Robotics; Clearpath Robotics; Yujin Robot
Introduced	2010
Status	Active
Type	Mobile robot platform
Purpose	Research; education; robotics competitions

TurtleBot is a low-cost, personal robot platform designed for research, prototyping, and education in robotics. It integrates mobile base hardware with sensing modules and runs robot middleware to enable mapping, navigation, and manipulation experiments. TurtleBot has been used in laboratories, makerspaces, and classrooms associated with institutions such as Massachusetts Institute of Technology, Stanford University, Carnegie Mellon University, and ETH Zurich.

Overview

TurtleBot provides a standardized chassis, sensor suite, and software stack suitable for projects involving simultaneous localization and mapping, computer vision, robotic manipulation, autonomous navigation, and human–robot interaction. The platform typically pairs a differential-drive base with depth sensors, inertial measurement units, and single-board computers from vendors like Intel (company), NVIDIA, Raspberry Pi Foundation, and ASUS. TurtleBot supports simulation environments including Gazebo (software), RViz, and integrates with middleware such as Robot Operating System (ROS) and tools from ROS 2 ecosystems.

History and Development

TurtleBot originated at Willow Garage as a community-oriented successor to research platforms used in projects funded by agencies like the National Science Foundation and collaborations with companies such as Google and Honda. Early development involved contributors from Stanford Artificial Intelligence Laboratory and teams associated with PR2 (robot) research. Subsequent generations incorporated hardware and software contributions from Yujin Robot, Willow Garage alumni who founded Open Robotics, and manufacturers including Clearpath Robotics. The evolution paralleled milestones in ROS releases, conferences like International Conference on Robotics and Automation (ICRA) and Robotics: Science and Systems (RSS), and educational initiatives at venues such as FIRST Robotics Competition and university labs.

Hardware Design and Variants

TurtleBot variants span multiple generations with distinct bases, sensors, and compute modules. Early versions used the iRobot Create base and sensors like the Microsoft Kinect, while later models incorporated the Kobuki (robot) base, YDLidar, Hokuyo laser scanners, and depth cameras from Intel RealSense. Compute choices have included netbooks, laptops, Odroid, and NVIDIA Jetson modules. Accessory ecosystems include robotic arms from Universal Robots, grippers from Robotiq, and payloads from makers affiliated with Maker Faire and Hackaday. Industrial and academic labs have adapted TurtleBot for experiments using encoders, LiDAR, IMU, and SLAM-capable processors from ARM Holdings and Intel Corporation.

Software and Operating System

TurtleBot platforms primarily run distributions of Ubuntu tailored for Robot Operating System (ROS) or ROS 2 middleware. The software stack incorporates navigation stacks, mapping packages like gmapping, hector_slam, and ORB-SLAM, perception libraries such as OpenCV, and machine learning frameworks including TensorFlow, PyTorch, and Caffe. Simulation workflows use Gazebo (software), Webots, and integration testing often references continuous integration tools pioneered by organizations like GitHub and Travis CI. Community-driven repositories and tutorials have been hosted by entities such as ROS.org, GitLab, and university labs at University of California, Berkeley and University of Pennsylvania.

Applications and Use Cases

TurtleBot has been employed in projects across domains: autonomous navigation research featured at ICRA and IROS, human–robot interaction studies at CHI Conference on Human Factors in Computing Systems, educational curricula at Massachusetts Institute of Technology and Georgia Institute of Technology, and prototype development by startups showcased at CES (Consumer Electronics Show). Use cases include indoor mapping for facilities modeled by Building Information Modeling, assistive robotics experiments informed by work at MIT Media Lab, swarm robotics demonstrations linked to research from Harvard University and ETH Zurich, and rapid prototyping for companies incubated by Y Combinator and accelerators like Techstars.

Community and Education

A global community of researchers, educators, and hobbyists contributes to TurtleBot ecosystems through forums, workshops, and conferences organized by Open Robotics, IEEE Robotics and Automation Society, and university robotics groups. Educational efforts leverage TurtleBot in lab courses, capstone projects, and outreach programs associated with organizations such as FIRST, Robogames, and makerspaces affiliated with Fab Lab networks. Collaborative resources include tutorials on ROS.org, contributions on GitHub, and lesson plans developed by teams at Stanford University and Carnegie Mellon University.

Commercialization and Licensing

Commercial TurtleBot offerings have been sold or supported by companies including Yujin Robot, Clearpath Robotics, and distributors collaborating with Open Robotics. Hardware components are often sourced from manufacturers like iRobot, Intel, and ASUS, while software licensing involves open-source licenses associated with ROS packages and permissive licenses such as the BSD license and MIT License. Commercial deployments in labs and pilot projects follow compliance practices related to standards promoted by ISO committees and guidelines referenced by IEEE working groups.

Category:Robots