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Warehouse

Benchmarks

Task NameDataset NameSOTA ResultTrend
Multi-Agent Path Finding (MAPF)warehouse 161x63
Success Rate100
31
Multi-Task Reinforcement Learning (LTL Instruction Following)Warehouse Finite Horizon
Success Rate99
30
Multi-Task Reinforcement Learning (LTL Instruction Following)Warehouse Infinite Horizon
Average Visits880.6
20
Offline Multi-agent Reinforcement LearningWarehouse Small (11x20)
Mean Performance (N=2)5.97
6
Offline Multi-agent Reinforcement LearningWarehouse Tiny (11x11)
Mean Performance (N=2)11.15
6
Mobile ManipulationWarehouse Cross-room transfer v1
AIKF14.3
5
Robotic ExplorationWarehouse Gazebo simulation (test)
Distance (m)86,942
5
Autonomous Robotic ExplorationWarehouse Gazebo simulation (environment)
Exploration Distance (m)869
5
Multi-agent coordinationWarehouse (uneven) size S
Success Rate100
5
Multi-agent coordinationWarehouse (even) size S
Success Rate1
5
Mobile ManipulationWarehouse
AIKF Score7.1
4
NL-to-TL TranslationWarehouse
LE Accuracy100
4
Multi-agent coordinationWarehouse uneven size (evaluation)
Success Rate0.84
4
Multi-agent coordinationWarehouse even size (evaluation)
Success Rate90
4
Object RearrangementWarehouse 40 m × 40 m (simulation)
Bin Success Rate100
1
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