Evidence map›Paper›PMID 31618205›Full record

ArticlePloS one2019

A system for bedside assistance that integrates a robotic bed and a mobile manipulator.

Ariel S Kapusta, Phillip M Grice, Henry M Clever, Yash Chitalia, Daehyung Park, Charles C Kemp

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

2 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 1 institution in 1 country.

Ariel S KapustaHealthcare Robotics Lab, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, United States of America.ORCID 0000-0002-9169-1235
Phillip M GriceHealthcare Robotics Lab, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, United States of America.ORCID 0000-0001-6183-1930
Henry M CleverHealthcare Robotics Lab, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, United States of America.
Yash ChitaliaHealthcare Robotics Lab, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, United States of America.
Daehyung ParkHealthcare Robotics Lab, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, United States of America.ORCID 0000-0002-1287-9433
Charles C KempHealthcare Robotics Lab, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, United States of America.
Georgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various situations, such as injuries or long-term disabilities, can result in people receiving physical assistance while in bed. We present a robotic system for bedside assistance that consists of a robotic bed and a mobile manipulator (i.e., a wheeled robot with arms) that work together to provide better assistance. Many assistive tasks depend on moving with respect to the person's body, and the complementary physical and perceptual capabilities of the two robots help with respect to this general goal. The system provides autonomy for common tasks, as well as an interface for direct teleoperation of the two robots. Autonomy handles coarse motions of the robots by estimating the person's pose using a pressure sensing mat and then moving the robots to configurations optimized for the task. After completing these motions, the user is given fine control of the robots to complete the task. In an evaluation using a medical mannequin, we found that the robotic bed's motion and perception each improved the assistive robotic system's performance. The system achieved 100% success over 9 trials involving 3 tasks. Using the system with the bed movement or the body pose estimation capabilities turned off resulted in success in only 33% or 78% of the trials, respectively. We also evaluated our system with Henry Evans, a person with severe quadriplegia, in his home. In a formal test, Henry successfully used the bedside-assistance system to perform 3 different tasks, 5 times each, without any failures. Henry's feedback on the system was positive regarding usefulness and ease of use, and he noted benefits of using our system over fully manual teleoperation. Overall, our results suggest that a robotic bed and a mobile manipulator can work collaboratively to provide effective personal assistance and that the combination of the two robots is beneficial.

Indexed as

BedsPersons with DisabilitiesPoint-of-Care SystemsQuadriplegiaRoboticsHumans

Identifiers

PMID31618205
PMCPMC6795421
OpenAlexW2980799546

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.