Multi-robot motion planning on Drop-Region High (vmax=1.34) benchmark leaderboard · SOTA2 Research

Multi-robot motion planning on Drop-Region High (vmax=1.34)

100Success RateMMD-CBS

Evaluation Results

Method	Links
MMD-CBS2026.06		100	100	0	—	9.2
PCD-LB2026.06		100	36.1	2.92	0.987	1.8
PCD-SHD2026.06		100	86.9	0.02	0.965	1.7
Final Proj.2026.06		100	99.8	0	0.99	5.9
DiRecT2026.06		100	100	0	0.989	64
MMD-CBS2026.06		100	100	0	—	55.5
PCD-SHD2026.06		100	23.1	0.18	0.88	2.1
Final Proj.2026.06		100	97.9	0.02	0.985	5.3
DiRecT2026.06		100	100	0	0.986	65.6
Final Proj.2026.06		100	89.6	0.12	0.973	8.2
DiRecT2026.06		100	99.6	0	0.981	67
Final Proj.2026.06		100	70.6	0.42	0.95	6.8
DiRecT2026.06		100	98.4	0.02	0.971	72.5
Final Proj.2026.06		100	42	1.14	0.908	8.4
DiRecT2026.06		100	94.1	0.06	0.947	103.5
PCD-SHD2026.06		50	0.6	0.59	0.782	2.7
Diffuser2026.06		40	1.1	17.17	0.991	0.6
PCD-LB2026.06		2	0	32.13	0.989	2.1
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	100.86	0.99	2.6
Diffuser2026.06		0	0	352.68	0.991	0.8
MMD-CBS2026.06		0	12.5	34	—	77.2
PCD-LB2026.06		0	0	208.07	0.991	3.3
PCD-SHD2026.06		0	0	1.27	0.703	3.3
Diffuser2026.06		0	0	568.27	0.992	1
MMD-CBS2026.06		0	0	48	—	99
PCD-LB2026.06		0	0	361.93	0.99	3.8
PCD-SHD2026.06		0	0	2.2	0.639	3.8