ARMBench is a large-scale, object-centric benchmark dataset for robotic manipulation in the context of a warehouse. ARMBench contains images, videos, and metadata that corresponds to 235K+ pick-and-place activities on 190K+ unique objects. The data is captured at different stages of manipulation, i.e., pre-pick, during transfer, and after placement.
Source: ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation
Image Source: ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation
Variants: ARMBench
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Instance Segmentation | Mask2Former | Robot Instance Segmentation with Few … | 2024-07-01 |
| Instance Segmentation | RISE (R50) | Robot Instance Segmentation with Few … | 2024-07-01 |
| Instance Segmentation | Deformable DETR | Robot Instance Segmentation with Few … | 2024-07-01 |
| Instance Segmentation | RISE (VIT-B) | Robot Instance Segmentation with Few … | 2024-07-01 |
| Instance Segmentation | RISE (R101) | Robot Instance Segmentation with Few … | 2024-07-01 |
| Instance Segmentation | RoboLLM (VIT-B) | RoboLLM: Robotic Vision Tasks Grounded … | 2023-10-16 |
| Instance Segmentation | Mask R-CNN (Resnet50) | ARMBench: An Object-centric Benchmark Dataset … | 2023-03-29 |
Recent papers with results on this dataset: