#IEEE TRO (1)

IEEE TRO | CMU Open-Sources riMESA: Real-Time Multi-Robot SLAM Under Weak Communication and Outliers, 7x+ Ahead on Real Data

CMU's riMESA combines Consensus ADMM with the incremental robust solver riSAM to unite distribution, incrementality, robustness and weak communication: sharing variables instead of full graphs, dual decay, RWBP that lets stale consensus be overruled by fresh evidence, and non-blocking communication threads. Across 2430 synthetic and 28 real datasets, its gap to Centralized GNC is 7x smaller than DLGBP and 17x smaller than DDF-SAM2, at only ~55 KB/s average bandwidth.

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