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Papers Benchmarks Datasets Tasks

Kinodynamic Multi-agent Path Planning research benchmarks · SOTA2 Research

Kinodynamic Multi-agent Path Planning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Narrow Corridor UC N=3

100Success Rate (%)

14

May 12, 2026

Large Cluttered DI N=30

100Success Rate (SR)

7

May 12, 2026

Swap 3D DI (N=30)

100SR

7

May 12, 2026

Swap 3D DI (N=20)

100Success Rate

7

May 12, 2026

100Success Rate (SR)

7

May 12, 2026

Large Cluttered UC N=30

65Success Rate (SR)

7

May 12, 2026

Large Cluttered UC N=20

100Success Rate

7

May 12, 2026

Large Cluttered UC N=5

100SR

7

May 12, 2026

Small Cluttered SOC N=15

99Success Rate

7

May 12, 2026

Small Cluttered SOC N=8

100Success Rate (SR)

7

May 12, 2026

Small Cluttered SOC N=4

100Success Rate (SR)

7

May 12, 2026

Popular datasets

SOC Swap 3D Large Cluttered UC UC Narrow Corridor UC

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