Artigo em periódicoOpen Access

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions]

XIAO, XUESU2023XIAO, XUESU; XU, ZIFAN; WARNELL, GARRETT; STONE, PETER; GUINJOAN, FERRAN GEBELLI; Rodrigues, Rômulo T.; BRUYNINCKX, HERMAN; MANDALA, HANJAYA; CHRISTMANN, GUILHERME; BLANCO-CLARACO, JOSE LUIS; RAI, SHRAVAN SOMASHEKARA

2023 • IEEE Robotics & Automation Magazine • 20 citações

Resumo

The second Benchmark Autonomous Robot Navigation (BARN) Challenge took place at the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023) in London, U.K., and continued to evaluate the performance of state-of-the-art autonomous ground navigation systems in highly constrained environments. Compared to the first BARN Challenge at ICRA 2022 in Philadelphia, the competition has grown significantly in size, doubling the numbers of participants in both the simulation qualifier and physical finals: 10 teams from all over the world participated in the qualifying simulation competition, six of which were invited to compete with each other in three physical obstacle courses at the conference center in London. Three teams won the challenge by navigating a Clearpath Jackal robot from a predefined start to a goal with the shortest amount of time without colliding with any obstacle. The competition results, compared to those of last year, suggest that the teams are making progress toward more robust and efficient ground navigation systems that work out of the box in many obstacle environments. However, a significant amount of fine-tuning is still needed on site to cater to different difficult navigation scenarios. Furthermore, challenges still remain for many teams when facing extremely cluttered obstacles and increasing navigation speed. In this article, we discuss the challenge, the approaches used by the three winning teams, and lessons learned to direct future research.

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