Evidence map›Paper›PMID 39727746›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Design of an Active-Passive Composite Impedance Controller for a Soft Robotic Arm Under Contact Constraints.

Bo Yan, Yinglong Chen, Cheng Zhou, Qiang Sun, Fei Gao, Xinyu Yang, Xingtian Xiao

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Bo YanThe Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian 116026, China.
Yinglong ChenThe Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian 116026, China.ORCID 0000-0002-2149-093X
Cheng ZhouWuhan 2nd Ship Design a Research Institute, Wuhan 430205, China.
Qiang SunThe Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian 116026, China.
Fei GaoThe Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian 116026, China.
Xinyu YangThe Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian 116026, China.
Xingtian XiaoThe Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian 116026, China.

Funding

Fundamental Research Funds for the Central Universities 3132023513National Natural Science Foundation of China 52275053
6 · The paper itself

Abstract

The inherent passive impedance characteristics of soft robotic arms provide excellent environmental adaptability. When a soft robotic arm interacts with its surroundings, its passive impedance responds swiftly, preventing rigid collisions that could damage the arm and ensuring high safety. However, during the movement of the soft robotic arm, these passive impedance properties are uncontrollable, making it impossible to achieve precise impedance control in constrained environments by relying solely on passive mechanisms. Therefore, this paper integrated active impedance control with the passive impedance characteristics of soft robotic arms, proposing an active-passive composite impedance controller. Additionally, a position-based impedance controller was designed for comparative analysis. Finally, this article developed both control systems and conducted simulations and experiments, demonstrating that the composite active-passive impedance controller offers superior control performance and environmental adaptability.

Indexed as

active–passive composite impedancepassive impedance characteristicssoft robotic arm

Identifiers

PMID39727746
PMCPMC11673127

What OpenQuestion holds

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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.