Fetch Robotics has announced the results of the inaugural FetchIt! Mobile Manipulation Challenge. The competition was designed to advance the state of technology for applying mobile manipulators, which are autonomous mobile robots (AMRs) fitted with robotic arms, for use in manufacturing and related applications. The FetchIt! Challenge attracted teams from leading universities, who were tasked with using a Fetch Mobile Manipulator robot to navigate to stations in a work cell where they picked up items with the arm, inserted them into a machine tool, placed the machined items into kits, transported the finished kits to an inspection station and then to a drop-off location.
This is the first competition that encompasses the full range of activities that are commonly found in manufacturing environments.
Georgia Tech was awarded first prize for successfully assembling three kits in 39 minutes, earning a prize package that included a Fetch Mobile Manipulation Research Robot - a $100K value - along with additional prizes from co-sponsors EandM, SCHUNK and SICK AG.
FetchIt! Challenge participants included:
- Team Columbia: Columbia University, led by Professor Peter K. Allen, PhD, and Neil Chen
- Team DeRAILers: The Georgia Institute of Technology, led by Associate Professor Sonia Chernova, PhD, and David Kent
- Team RoboHawks: The University of Massachusetts Lowell, led by Professor Holly Yanco, PhD, Assistant Professor Reza Ahmadzadeh, PhD, and Zhao Han
- Team Fido: Independent Competitors, Thomas Butterworth and Ben Jarvhi.
AMRs are seeing rapid adoption in multiple applications, particularly for material movement tasks in warehouses and factories. This has fueled growing interest in using AMRs equipped with robotic arms - also called mobile manipulators - for applications that combine autonomous transport with robotic arms that can grasp and manipulate objects. While conceptually simple, combining autonomous mobility with robotic arm activity is extremely challenging, requiring complex interaction between the robot navigation, machine vision, arm operation and safety systems.
The FetchIt! competition focused on teams autonomously completing combined manipulation and navigation tasks. The goal was to assemble a kit from six objects obtained from stations around the designated arena. Designed to mimic a common machine-tending process in manufacturing, the objects were picked from bins and then placed in a kit and transported to a drop-off location. "All teams used a stock Fetch Mobile Manipulator, which is the most widely deployed mobile manipulation robot, deployed at over 50 of the world's leading academic and commercial robotic research centers," said a company spokesperson.
"Russell Toris, Director of Robotics at Fetch Robotics, said, "When setting out to create this challenge, we knew we wanted to keep it grounded to a real-word scenario. Interacting with machinery that is designed to be used by humans is no easy task. Piece-picking, kitting and countless other tasks are going to require state-of-the-art perception, motion planning, navigation and safety all seamlessly working together. The teams' performance this week indicate that they represent some of the world's leading experts in these skills."
For more information contact:
Fetch Robotics
2811 Orchard Parkway
San Jose, CA 95134
408-300-9056
info@fetchrobotics.com
www.fetchrobotics.com