The 2i improves upon previous iterations of the TurtleBot with a completely redesigned modular chassis and for the first time, native support of robotic arms. The TurtleBot 2i offers the Pincher MK3 5 DOF Robotic Arm as a fully supported standard option allowing the robot to interact with small objects in the real world, effectively transforming the TurtleBot into an extremely capable mobile manipulator.
This new version is also accompanied by hands on tutorials and demos that showcase the robot's capabilities - enabling students, educators, researchers and developers to hit the ground running with a versatile open source ROS development platform.
Our goal is to bring previously daunting technologies and fields of study such as autonomous navigation and robotic manipulation into the hands of innovators and developers in a much more approachable format.
The demos and tutorials created for the 2i provide a hands-on tools for demonstrating how robots perceive and interact in the real world, focusing on real-world autonomous mobile robotics, automation technologies and object/environment manipulation.
At its core, the TurtleBot 2i is powered by the Intel Joule 570X module embedded Linux computer offering an unparalleled amount of processing power, IO connectivity, and innovative features in a compact and power efficient package. The robot features dual 3D camera configurations, using a dedicated long range Intel RealSense camera ZR300-Series for Navigation & Mapping, and the short range Intel RealSense camera SR300-Series as a dedicated Manipulation workspace sensor. Intel RealSense technology was built to pair perfectly with the Intel Joule platform - with machine vision processing benefiting from hardware GPU acceleration from the on-board Iris Graphics solution.
The TurtleBot 2i offers the Pincher MK3 Robotic Arm as a fully supported standard option, allowing the robot to interact with small objects, buttons, and tools in the real world. The Arbotix-M Robocontroller provides an interface for the Pincher Mk3 arm, which is implemented using MoveIt, an open source inverse kinematics solution, allowing users to control the arm using only high-level commands.