MTU Robotics Lab Wins International Autonomous Navigation Competition
Assistant Professor Amna Mazen (AC/MMET), along with her team from the Robotics and Remote Sensing Lab (RRSL), won this year’s Benchmark for Autonomous Robot Navigation (BARN) Challenge, held as part of IEEE’s International Conference on Robotics and Automation, one of the largest and most prestigious robotics conferences in the world.
Introduced in 2022, the BARN Challenge tests an algorithm’s ability to maneuver a Clearpath Jackal robot through both simulated and real environments in order to elevate the performance of autonomous robots in challenging environments. In their first year as participants, the Michigan Tech team not only won but set a new standard for navigational algorithms for autonomous robotics.
“Many people attending ICRA came up to us to ask how our algorithm works and how we were able to be so successful,” Mazen said. “The organizers told us that this competition may have to change in the future based on our performance. Algorithm tuning may be a thing of the past.”
Learn more about the BARN Challenge and the RRSL team’s unprecedented success at Michigan Tech News.