Evidence map›Paper›PMID 36975330›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Central Pattern Generator with Defined Pulse Signals for Compliant-Resistant Control of Biped Robots.

Zihan Xu, Qin Fang, Chengju Liu, Qijun Chen

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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 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. Article
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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

4 authors.

Zihan XuRobot and Artificial Intelligence Lab (RAIL), College of Electronic and Information Engineering, Tongji University, No. 4800 Cao'an Road, Shanghai 201804, China.
Qin FangRobot and Artificial Intelligence Lab (RAIL), College of Electronic and Information Engineering, Tongji University, No. 4800 Cao'an Road, Shanghai 201804, China.
Chengju LiuRobot and Artificial Intelligence Lab (RAIL), College of Electronic and Information Engineering, Tongji University, No. 4800 Cao'an Road, Shanghai 201804, China.
Qijun ChenRobot and Artificial Intelligence Lab (RAIL), College of Electronic and Information Engineering, Tongji University, No. 4800 Cao'an Road, Shanghai 201804, China.

Funding

Fundamental Research Funds for the Central Universities. Science and technology innovation action plan - AI technology support project 22511104900Shanghai Municipal Science and Technology Major Project 2021SHZDZX0100
6 · The paper itself

Abstract

For biped robots, the ability to maintain balance under external forces is an essential requirement. Inspired by human beings' behaviors to resist external forces, a compliant-resistant balance-control method is proposed to keep the biped robot balance subjected to an external force. A model-free trajectory generator is designed based on the central pattern generator (CPG) to generate compliant-resistant human-like behavior. The CPG pattern generator generates the desired pulse signal utilizing Matsuoka's CPG. The signal modulator applies the defined signal to the robot's center of mass (CoM) to generate the workspace trajectory when standing on double feet. Moreover, when standing on single foot, the output signal of the CPG will directly act on the hip joint of the robot to generate the joint space trajectory. Furthermore, the motion engine calculates the workspace trajectory into joint sequence values. The proposed control strategy can generate defined pulse signals to realize compliant-resistant balance control for biped robots. The control strategy proposed in this paper is verified in the NAO simulation environment.

Indexed as

balance controlbiped robottrajectory generator

Identifiers

PMID36975330
PMCPMC10046089

What OpenQuestion holds

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LicenceCC BY
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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.