RGB-Stacking

Dataset Information
Modalities
Environment
Introduced
2021
Homepage

Overview

RGB-Stacking is a benchmark for vision-based robotic manipulation. The robot is trained to learn how to grasp objects and balance them on top of one another.

Image source: https://github.com/deepmind/rgb_stacking

Variants: RGB-Stacking

Associated Benchmarks

This dataset is used in 3 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Visual Tracking TAPIR (MOVi-E) TAPIR: Tracking Any Point with … 2023-06-14
Visual Tracking TAPIR (Panning MOVi-E) TAPIR: Tracking Any Point with … 2023-06-14
Skill Generalization Gato A Generalist Agent 2022-05-12
Skill Mastery Gato A Generalist Agent 2022-05-12
Skill Generalization BC - IMP Beyond Pick-and-Place: Tackling Robotic Stacking … 2021-10-12
Skill Mastery BC-IMP Beyond Pick-and-Place: Tackling Robotic Stacking … 2021-10-12

Research Papers

Recent papers with results on this dataset: