Accelerate your research and development of intelligent robotics through mobile manipulation and autonomous mobility.
Collaborative robotics has opened the doors to a multitude of practical applications across consumer and commercial industries, from service robots in the home to large industrial cobots augmenting the human workforce.
The Fetch Mobile Manipulator and Freight Mobile Robot Base provide a common robotics platform for researchers around the world to collaborate and share research. Fetch Robotics research platforms were designed to work with the Robot Operating Systems (ROS) for the greatest common usability and familiarity.
Fetch Robotics CEO Melonee Wise was the second employee at famed robotics lab Willow Garage, where she helped create the Robot Operating System (ROS), the PR2 robot, as well as the Turtlebot. Since the launch of these products, they have become the standard tools used for robotics research and development.
Learn more about the origin and creation of ROS in the first of Red Hat’s five part series, “How to Start a Robot Revolution” featuring Melonee and other Willow Garage alums.
As part of its research into human support robots that can assist with tasks in the home, such as item retrieval, TRI has pioneered new tools to give future robots enhanced, human-like dexterity in order to grasp and manipulate objects so that they are not dropped or damaged. TRI is also applying computer vision and artificial intelligence to robot development, allowing robots to detect the physical presence of humans and objects, note their locations and retrieve objects for humans when prompted. The robots can detect when objects have been relocated, updating the item’s location in the robot’s database, and even detect faces of known people and differentiate individuals.
Google researchers believe that the advanced technology inside research robots like the Fetch mobile manipulator gives them more potential in the real world. The company is developing ways for these robots to learn skills on their own, like sorting through a bin of unfamiliar objects or navigating a warehouse filled with unexpected obstacles.
Google’s new lab is indicative of a broader effort to bring machine learning to robotics.
OpenAI, a research lab co-founded by Elon Musk, created a new algorithm that teaches robots to learn the way humans do. The system is based on a one-shot imitation learning technique that guides a Fetch mobile manipulator robot through an action with just one demonstration.
A person would first perform a manual task in virtual reality. The robot would see the movement through a neural network made entirely of simulated images and then mimic the action. Ultimately, the goal is to have an AI that can learn new human-like behaviors quickly and adjust its movements as its surroundings change.
Want to learn more about how flexible automation can improve productivity in your facility? Get started today by contacting the automation experts at Fetch Robotics. With the broadest range of AMRs in the industry, we can help you pick, find, track, and move anything from parts to pallets.