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 UniversityFollow
• Kamyab Yazdipaz, Michigan Technological UniversityFollow
• Innocent Mateyaunga, Michigan Technological UniversityFollow
• et al.

Document Type

Article

Publication Date

3-25-2026

Department

Department of Applied Computing; Department of Manufacturing and Mechanical Engineering Technology

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., & et al. (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