Evidence map›Paper›PMID 35480087›Full record

ReviewFrontiers in robotics and AI2022

Designing Expandable-Structure Robots for Human-Robot Interaction.

Hooman Hedayati, Ryo Suzuki, Wyatt Rees, Daniel Leithinger, Daniel Szafir

Abstract readReview
In one paragraph

Review in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Hooman HedayatiDepartment of Computer Science, University of Colorado, Boulder, CO, United States.
Ryo SuzukiDepartment of Computer Science, University of Calgary, Calgary, AB, Canada.
Wyatt ReesDepartment of Computer Science, University of Colorado, Boulder, CO, United States.
Daniel LeithingerDepartment of Computer Science, University of Colorado, Boulder, CO, United States.
Daniel SzafirDepartment of Computer Science, University of Colorado, Boulder, CO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we survey the emerging design space of expandable structures in robotics, with a focus on how such structures may improve human-robot interactions. We detail various implementation considerations for researchers seeking to integrate such structures in their own work and describe how expandable structures may lead to novel forms of interaction for a variety of different robots and applications, including structures that enable robots to alter their form to augment or gain entirely new capabilities, such as enhancing manipulation or navigation, structures that improve robot safety, structures that enable new forms of communication, and structures for robot swarms that enable the swarm to change shape both individually and collectively. To illustrate how these considerations may be operationalized, we also present three case studies from our own research in expandable structure robots, sharing our design process and our findings regarding how such structures enable robots to produce novel behaviors that may capture human attention, convey information, mimic emotion, and provide new types of dynamic affordances.

Indexed as

deployable robotdeployable structureshuman-robot interactionmodular robotorigami roboticsshape-changing robots

Identifiers

PMID35480087
PMCPMC9035676

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.