Multi-robot motion planning on Drop-Region Medium (vmax=1.13) benchmark leaderboard · SOTA2 Research

Multi-robot motion planning on Drop-Region Medium (vmax=1.13)

100Success Rate (SR)MMD-CBS

Evaluation Results

Method	Links
MMD-CBS2026.06		100	100	0	—	9.2
PCD-LB2026.06		100	36.6	2.89	0.986	1.9
PCD-SHD2026.06		100	88	0.04	0.965	1.7
Final Proj.2026.06		100	98.4	0.03	0.989	2.1
DiRecT2026.06		100	100	0	0.985	24.2
MMD-CBS2026.06		100	100	0	—	55.5
PCD-SHD2026.06		100	24.6	0.34	0.883	2.3
Final Proj.2026.06		100	94.6	0.14	0.983	2.6
DiRecT2026.06		100	100	0	0.982	28.9
Final Proj.2026.06		100	83.6	0.45	0.968	4.1
DiRecT2026.06		100	99.8	0	0.975	47.4
Final Proj.2026.06		100	61.8	1.25	0.94	6
DiRecT2026.06		100	99.1	0.01	0.961	70.9
Final Proj.2026.06		100	32.1	2.92	0.892	8.3
DiRecT2026.06		100	96.3	0.06	0.933	99.7
PCD-SHD2026.06		60	0.8	1.08	0.787	2.8
Diffuser2026.06		40	1.1	17.17	0.991	0.6
PCD-LB2026.06		7	0.1	31.4	0.988	2.3
PCD-SHD2026.06		1	0	2.24	0.709	3.5
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	98.91	0.989	2.7
Diffuser2026.06		0	0	352.68	0.991	0.8
MMD-CBS2026.06		0	12.5	34	—	77.2
PCD-LB2026.06		0	0	204.24	0.989	3.5
Diffuser2026.06		0	0	568.27	0.992	1
MMD-CBS2026.06		0	0	48	—	99
PCD-LB2026.06		0	0	355.78	0.989	4
PCD-SHD2026.06		0	0	3.82	0.646	4