RU-APC

Rutgers APC

Introduced 2015-09-03

The RU-APC (Rutgers APC) dataset is a valuable resource for researchers and developers working on robotic perception solutions for warehouse picking challenges. Let me provide you with some details about this dataset:

  1. Dataset Overview:

    • The Rutgers APC RGB-D Dataset is provided by the PRACSYS lab at Rutgers University.
    • It is designed to equip the research community with rich data for evaluating and improving robotic perception in the context of warehouse automation.
    • The dataset contains 10,368 depth and RGB registered images.

  2. Object Annotations:

    • For 24 of the Amazon Picking Challenge (APC) objects, the dataset includes hand-annotated 6DOF poses.
    • These annotations are crucial for accurate pose estimation during object manipulation tasks.

  3. 3D Mesh Models:

    • Alongside the images, the dataset provides 3D mesh models for all 25 APC objects (excluding the mead_index_cards).
    • These mesh models can be used for training recognition algorithms.

  4. Context and Significance:

    • The Amazon Picking Challenge (APC) is a competition that focuses on perception, motion planning, and grasping of different objects placed inside bins of an Amazon-Kiva Pod.
    • Warehouse automation, especially picking and placing products on shelves, is a critical area of interest.
    • Unlike simpler tabletop scenarios, warehouse shelves introduce challenges due to narrow, dark, and obscuring bins.
    • Accurate pose estimation is essential for successful object manipulation within these shelves.

  5. Variety of Objects:

    • The selected objects in the dataset were used during the first Amazon Picking Challenge held in Seattle in May 2015.
    • These objects exhibit diversity in terms of size, shape, texture, transparency, and other characteristics.
    • They represent good candidates for robotic units to transport in warehouse environments.

(1) Rutgers APC RGB-D Dataset - PRACSYS Group. https://robotics.cs.rutgers.edu/pracsys/rutgers-apc-rgb-d-dataset/. (2) Datasets - PRACSYS Group. https://robotics.cs.rutgers.edu/pracsys/datasets/. (3) Datasets - BOP: Benchmark for 6D Object Pose Estimation. https://bop.felk.cvut.cz/datasets/.