Evidence map›Paper›PMID 36215466›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Active entanglement enables stochastic, topological grasping.

Kaitlyn Becker, Clark Teeple, Nicholas Charles, Yeonsu Jung, Daniel Baum, James C Weaver, L Mahadevan, Robert Wood

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
8.7field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 114 citations in OpenAlex.

  1. Stochastic Entanglement of Deterministic Origami Tentacles For Robust Robotic Grasping.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Article
  4. Rotational 3D printing of active-passive filaments and lattices with programmable shape morphing.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. A parallel algorithm for the computation of the Jones polynomial.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Review
  7. Article
  8. Multifunctional Fluidic Units for Emergent, Responsive Robotic Behaviors.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  9. Article
  10. Millimeter-scale fluid-driven soft robots.National science review · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Entanglement transition in random rod packings.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 2 countries.

Kaitlyn BeckerSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0003-2650-295X
Clark TeepleSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
Nicholas CharlesSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
Yeonsu JungSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
Daniel BaumDepartment of Visual and Data-Centric Computing, Zuse Institute Berlin, 14195 Berlin, Germany.ORCID 0000-0003-1550-7245
James C WeaverSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
L MahadevanSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-5114-0519
Robert WoodSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0001-7969-038X
Harvard University · USZuse Institute Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception and motion planning. Here, we circumvent the need for feedback or precise planning by using an array of fluidically actuated slender hollow elastomeric filaments to actively entangle with objects that vary in geometric and topological complexity. The resulting stochastic interactions enable a unique soft and conformable grasping strategy across a range of target objects that vary in size, weight, and shape. We experimentally evaluate the grasping performance of our strategy and use a computational framework for the collective mechanics of flexible filaments in contact with complex objects to explain our findings. Overall, our study highlights how active collective entanglement of a filament array via an uncontrolled, spatially distributed scheme provides options for soft, adaptable grasping.

Indexed as

RoboticsHand Strengthentanglementfilamentssoft actuatorssoft robotic graspingsoft robots

Identifiers

PMID36215466
PMCPMC9586297
OpenAlexW4304098865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.