Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Fourth BARN Challenge at ICRA 2025

Authors

• Xuesu Xiao, George Mason University
• Zifan Xu, The University of Texas at Austin
• Saad Abdul Ghani, George Mason University
• Aniket Datar, George Mason University
• Daeun Song, George Mason University
• Peter Stone, The University of Texas at Austin
• Amna Mazen, Michigan Technological University
• Kamyab Yazdipaz, Michigan Technological University
• Innocent Mateyaunga, Michigan Technological University
• Mariam Faied, University of Detroit Mercy
• Mohan Krishnan, University of Detroit Mercy
• Yuanjie Lu, George Mason University
• Tong Xu, George Mason University
• Nick Mohammad, University of Virginia
• Woosung Kim, University of Virginia
• Jon Reasoner, University of Virginia
• Rohan Chandra, University of Virginia
• Nicola Bezzo, University of Virginia

Document Type

Article

Publication Date

3-1-2026

Publication Title

IEEE Robotics and Automation Magazine

Recommended Citation

Xiao, X., Xu, Z., Ghani, S., Datar, A., Song, D., Stone, P., Mazen, A., Yazdipaz, K., Mateyaunga, I., Faied, M., Krishnan, M., Lu, Y., Xu, T., Mohammad, N., Kim, W., Reasoner, J., Chandra, R., & Bezzo, N. (2026). Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Fourth BARN Challenge at ICRA 2025. IEEE Robotics and Automation Magazine, 33(1), 186-196. http://doi.org/10.1109/MRA.2025.3639795
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/2520