Evidence map›Paper›PMID 30250796›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2018

Toward Perceptive Soft Robots: Progress and Challenges.

Hongbo Wang, Massimo Totaro, Lucia Beccai

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing 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

107 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. The Elephant Trunk Skin Inspires a Highly Sensitive and Deformable, Yet Robust, Armor Skin.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. MELEGROS: Monolithic Elephant-Inspired Gripper with Optical Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Review
  10. Article
  11. Multi-modal sensing in colonoscopy: a data-driven approach.IEEE robotics and automation letters · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Toward Autonomous Self-Healing in Soft Robotics: A Review and Perspective for Future Research.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  17. Article
  18. Elastic Fiber Programming for Simplified Pneumatic Control in Soft Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  19. Article
  20. Review

47 more citing papers are in PubMed but not listed here.

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

3 authors.

Hongbo WangCenter for Micro-BioRobotics Istituto Italiano di Tecnologia Viale Rinaldo Piaggio 34 56025 Pontedera (Pisa) Italy.ORCID 0000-0002-6546-1241
Massimo TotaroCenter for Micro-BioRobotics Istituto Italiano di Tecnologia Viale Rinaldo Piaggio 34 56025 Pontedera (Pisa) Italy.ORCID 0000-0002-0630-7383
Lucia BeccaiCenter for Micro-BioRobotics Istituto Italiano di Tecnologia Viale Rinaldo Piaggio 34 56025 Pontedera (Pisa) Italy.ORCID 0000-0002-8754-5155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past few years, soft robotics has rapidly become an emerging research topic, opening new possibilities for addressing real-world tasks. Perception can enable robots to effectively explore the unknown world, and interact safely with humans and the environment. Among all extero- and proprioception modalities, the detection of mechanical cues is vital, as with living beings. A variety of soft sensing technologies are available today, but there is still a gap to effectively utilize them in soft robots for practical applications. Here, the developments in soft robots with mechanical sensing are summarized to provide a comprehensive understanding of the state of the art in this field. Promising sensing technologies for mechanically perceptive soft robots are described, categorized, and their pros and cons are discussed. Strategies for designing soft sensors and criteria to evaluate their performance are outlined from the perspective of soft robotic applications. Challenges and trends in developing multimodal sensors, stretchable conductive materials and electronic interfaces, modeling techniques, and data interpretation for soft robotic sensing are highlighted. The knowledge gap and promising solutions toward perceptive soft robots are discussed and analyzed to provide a perspective in this field.

Indexed as

proprioceptionrobotic sensingsoft roboticssoft sensorstactile sensing

Identifiers

PMID30250796
PMCPMC6145216

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.