Evidence map›Paper›PMID 39445152›Full record

ArticleFrontiers in robotics and AI2024

HoLLiECares - Development of a multi-functional robot for professional care.

Julian Schneider, Matthias Brünett, Anne Gebert, Kevin Gisa, Andreas Hermann, Christian Lengenfelder, Arne Roennau, Svea Schuh, Lea Steffen

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Julian SchneiderInstitute of Control Systems (IRS), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Matthias Brünett *German Institute of Applied Nursing Research (DIP), Cologne, Germany.
Anne Gebert *German Institute of Applied Nursing Research (DIP), Cologne, Germany.
Kevin Gisa *August-Wilhelm Scheer Institute for digital products and processes gGmbH, Saarbrücken, Germany.
Andreas Hermann *ArtiMinds Robotics GmbH, Advanced Robotics Section, Karlsruhe, Germany.
Christian Lengenfelder *Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Interactive Analysis and Diagnosis (IAD), Karlsruhe, Germany.
Arne Roennau *FZI Research Center for Information Technology, Karlsruhe, Germany.
Svea Schuh *August-Wilhelm Scheer Institute for digital products and processes gGmbH, Saarbrücken, Germany.
Lea Steffen *FZI Research Center for Information Technology, Karlsruhe, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germany's healthcare sector suffers from a shortage of nursing staff, and robotic solutions are being explored as a means to provide quality care. While many robotic systems have already been established in various medical fields (e.g., surgical robots, logistics robots), there are only a few very specialized robotic applications in the care sector. In this work, a multi-functional robot is applied in a hospital, capable of performing activities in the areas of transport and logistics, interactive assistance, and documentation. The service robot platform HoLLiE was further developed, with a focus on implementing innovative solutions for handling non-rigid objects, motion planning for non-holonomic motions with a wheelchair, accompanying and providing haptic support to patients, optical recognition and control of movement exercises, and automated speech recognition. Furthermore, the potential of a robot platform in a nursing context was evaluated by field tests in two hospitals. The results show that a robot can take over or support certain tasks. However, it was noted that robotic tasks should be carefully selected, as robots are not able to provide empathy and affection that are often required in nursing. The remaining challenges still exist in the implementation and interaction of multi-functional capabilities, ensuring ease of use for a complex robotic system, grasping highly heterogeneous objects, and fulfilling formal and infrastructural requirements in healthcare (e.g., safety, security, and data protection).

Indexed as

deformable objectshealthcare robothuman-robot interactionmotion planningno-code programmingrobotic manipulationservice roboticssmart hospital

Identifiers

PMID39445152
PMCPMC11496034

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.