Evidence map›Paper›PMID 38392110›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Adaptive Skid-Steering Control Approach for Robots on Uncertain Inclined Planes with Redundant Load-Bearing Mobility.

Lin Zhang, Baoyu Wang, Enguang Guan, Xun Liu, Muhammad Saqib, Yanzheng Zhao

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Lin ZhangSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-5140-1096
Baoyu WangSchool of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Enguang GuanLogistics Engineering College, Shanghai Maritime University, Shanghai 201306, China.ORCID 0000-0002-9135-5661
Xun LiuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-7097-4690
Muhammad SaqibDrivedream Machinery Equipment Co., Ltd., Shanghai 200240, China.
Yanzheng ZhaoSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Funding

China Postdoctoral Science Foundation 2023M742265National Natural Science Foundation of China 52004034National Natural Science Foundation of Chongqing 2023NSCQ-MSX0758Science and Technology Research Program of Chongqing Municipal Education Commission KJZD-K202301403
6 · The paper itself

Abstract

Climbing manufacturing robots can create a revolutionary manufacturing paradigm for large and complex components, while the motion control of climbing manipulation-oriented robots (CMo-Rs) is still challenging considering anti-slippage problems. In this study, a CMo-R with full-scenery climbing capability and redundant load-bearing mobility is designed based on magnetic adsorption. A four-wheel kinematic model considering the slipping phenomenon is established. An adaptive kinematic control algorithm based on slip estimation using Lyapunov theory is designed for uncertain inclined planes. For comparison, the traditional PID-based algorithm without slip consideration is implemented as well. Numeric simulations are conducted to tackle the trajectory tracking problems for both circular and linear trajectories on the horizontal plane (HP), 50° inclined plane (50° IP), 60° inclined plane (60° IP), and vertical plane (VP). The results prove that our approach achieves better tracking accuracy. It demonstrated applicability in various climbing scenarios with uncertain inclined planes. The results of experiments also validate the feasibility, applicability, and stability of the proposed approach.

Indexed as

adaptive controlclimbing manipulationmobile roboticsskid-steering

Identifiers

PMID38392110
PMCPMC10886689

What OpenQuestion holds

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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.