# Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care Environments

Source: [Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care Environments](<https://www.sota2.com/research/paper/68fa70cb1e209131cea4d31e>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-28T13:57:01.532Z

Authors: Michael G. Adam, Sebastian Eger, Martin Piccolrovazzi, Maged Iskandar, Joern Vogel, Alexander Dietrich, Seongjien Bien, Jon Skerlj, Abdeldjallil Naceri, Eckehard Steinbach, Alin Albu-Schaeffer, Sami Haddadin, Wolfram Burgard

Published: 2023-10-09T10:35:37.000Z

## Abstract

As labor shortage increases in the health sector, the demand for assistive robotics grows. However, the needed test data to develop those robots is scarce, especially for the application of active 3D object detection, where no real data exists at all. This short paper counters this by introducing such an annotated dataset of real environments. The captured environments represent areas which are already in use in the field of robotic health care research. We further provide ground truth data within one room, for assessing SLAM algorithms running directly on a health care robot.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2310.05600>)

[PDF](<https://arxiv.org/pdf/2310.05600.pdf>)