Dataset profile

OpenRoboCare

OpenRoboCare is a research dataset of occupational-therapy demonstrations for robot-assisted caregiving. It is especially relevant for teams studying safe physical interaction, ADL workflows, gaze, pose, tactile contact, and task-level action segmentation.

Source institutionCornell University, Columbia University, National University of Singapore, UMass Lowell
HealthcareCaregivingActivities of Daily Living

Overview

OpenRoboCare is a research dataset of occupational-therapy demonstrations for robot-assisted caregiving. It is especially relevant for teams studying safe physical interaction, ADL workflows, gaze, pose, tactile contact, and task-level action segmentation.

What's included

  • Caregiving demonstrations on hospital manikins
  • RGB-D video, pose, gaze, tactile sensing, and task/action annotations
  • Task-level and action-level labels for ADL routines

Tasks / activities

bathingtoiletingdressingundressingbed-to-wheelchair transfergrooming

Modalities

RGB-DPoseGazeTactileAnnotations

Collection methodology

Occupational therapists performed caregiving tasks using hospital manikins while synchronized sensing modalities captured motion, gaze, contact, and annotations.

Potential applications

  • Robot caregiving benchmarks
  • Human-motion and contact-aware policy learning
  • ADL workflow segmentation
  • Expert attention and gaze modeling

Access & licensing

This is a third-party public/research dataset. We do not own or distribute this dataset. Access and usage are governed by the original publisher's terms.

Access and use are governed by the original OpenRoboCare publisher terms.

Limitations / opportunities for custom data

Teams requiring additional healthcare roles, different environments, new tasks, greater scale, or different sensing modalities may require purpose-built collection.

Need data beyond this benchmark?

We design custom healthcare and caregiving collections around the tasks, experts, environments, and modalities your model requires.

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