Multi-robot motion planning on Drop-Region Low (vmax=0.928) benchmark leaderboard · SOTA2 Research

Multi-robot motion planning on Drop-Region Low (vmax=0.928)

100Success Rate (SR)MMD-CBS

Evaluation Results

Method	Links
MMD-CBS2026.06		100	100	0	—	9.2
PCD-LB2026.06		100	38.6	2.74	0.98	1.9
PCD-SHD2026.06		100	88	0.05	0.965	1.9
Final Proj.2026.06		100	84.6	0.35	0.98	2.2
DiRecT2026.06		100	100	0	0.971	25.4
MMD-CBS2026.06		100	100	0	—	55.5
PCD-SHD2026.06		100	26.3	0.45	0.883	3.7
Final Proj.2026.06		100	59.7	1.76	0.971	2.6
DiRecT2026.06		100	100	0	0.965	29.2
Final Proj.2026.06		100	33.4	4.8	0.952	4.1
DiRecT2026.06		100	99.9	0	0.955	47.7
Final Proj.2026.06		100	14.9	9.88	0.919	6
DiRecT2026.06		100	99.5	0.01	0.938	71.2
DiRecT2026.06		100	97.7	0.06	0.899	100.5
Final Proj.2026.06		88	3.1	19.12	0.866	8.4
PCD-SHD2026.06		71	1.1	1.45	0.787	4.5
Diffuser2026.06		40	1.1	17.17	0.991	0.6
PCD-LB2026.06		11	0.1	29.94	0.981	3.5
PCD-SHD2026.06		1	0	3.12	0.71	5.4
Diffuser2026.06		0	0	82.64	0.991	0.6
Diffuser2026.06		0	0	194.4	0.991	0.7
MMD-CBS2026.06		0	8.3	12	—	67.8
PCD-LB2026.06		0	0	94.96	0.982	3
Diffuser2026.06		0	0	352.68	0.991	0.8
MMD-CBS2026.06		0	12.5	34	—	77.2
PCD-LB2026.06		0	0	196.78	0.983	4.1
Diffuser2026.06		0	0	568.27	0.992	1
MMD-CBS2026.06		0	0	48	—	99
PCD-LB2026.06		0	0	342.21	0.982	4.1
PCD-SHD2026.06		0	0	5.38	0.646	6.7