ARMBench
Introduced by Mitash et al. in ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation
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 ManipulationPapers
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