Evidence map›Paper›PMID 36648825›Full record

ArticleBiomimetics (Basel, Switzerland)2023

An Underactuated Adaptive Microspines Gripper for Rough Wall.

Xinxin Li, Wenqing Chen, Xiaosong Li, Xin Hou, Qian Zhao, Yonggang Meng, Yu Tian

Open access · goldAbstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

7 authors at 1 institution in 1 country.

Xinxin LiDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
Wenqing ChenDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
Xiaosong LiDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
Xin HouDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
Qian ZhaoDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
Yonggang MengDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-8274-5131
Yu TianDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
Tsinghua University · CN

Funding

National High-level Talent Special Support Plan No
6 · The paper itself

Abstract

Wall attachment has great potential in a broad range of applications such as robotic grasping, transfer printing, and asteroid sampling. Herein, a new type of underactuated bionic microspines gripper is proposed to attach to an irregular, rough wall. Experimental results revealed that the gripper, profiting from its flexible structure and underactuated linkage mechanism, is capable of adapting submillimeter scale roughness to centimeter scale geometry irregularity in both normal and tangential attachment. The rigid-flexible coupling simulation analysis validated that the rough adaptation was achieved by the passive deformation of the zigzag flexible structure, while the centimeter-scale irregularity adaptation come from the underactuated design. The attachment test of a spine confirmed that a 5 mm sliding distance of the spine tip on the fine brick wall promises a saturated tangential attachment force, which can guide the stiffness design of flexible structure and parameter selection of underactuated linkage. Furthermore, the developed microspines gripper was successfully demonstrated to grasp irregular rocks, tree trunks, and granite plates. This work presents a generally applicable and dexterous passive adaption design to achieve rough wall attachment for flat and curved objects, which promotes the understanding and application of wall attachment.

Indexed as

bionic mechanisminterfacial attachmentmicrospines gripperunder-actuated mechanism

Identifiers

PMID36648825
PMCPMC9844350
OpenAlexW4316468911

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.