Evidence map›Paper›PMID 40422122›Full record

ArticleBiomimetics (Basel, Switzerland)2025

Modular Snake-like Robot Designed for On-Site Reconfiguration in Space Exploration.

Ning Zhao, Sikai Zhao, Tianjiao Zheng, Jian Qi, Zhiyuan Yang, Xin Sui, Kai Han, Hang Luo, Nanlin Zhou, Jie Zhao and 1 more

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. 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

11 authors.

Ning ZhaoState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Sikai ZhaoState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Tianjiao ZhengState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Jian QiState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Zhiyuan YangState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.ORCID 0009-0002-6008-566X
Xin SuiState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-3474-1232
Kai HanState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Hang LuoState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Nanlin ZhouState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.ORCID 0009-0007-8317-7109
Jie ZhaoState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Yanhe ZhuState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-1960-6278

Funding

Key Project of National Natural Science Foundation of China 52435001National Natural Science Foundation of China 52105016National Science Fund for Distinguished Young Scholars 52025054
6 · The paper itself

Abstract

Research on modular robots for space exploration has primarily focused on reconfiguration, with limited attention given to the maneuverability in space environment, which is essential for harnessing the advantages of reconfiguration. In this paper, a modular snake-like robot (MSR) is designed, which is expected to emulate a snake to navigate complex environments and employ the reconfiguration capability for on-site shape-shifting. To this end, a snake-like motion analysis and planning method is proposed for MSR. Firstly, we explore the feasibility of utilizing modules in realizing snake-like motion, including functional compatibility and structural constraints. Secondly, we analyze the kinematics of MSR and design joint coordination motion schemes to meet the requirements of snake-like motion. Finally, a path planning method based on reinforcement learning is proposed, which fully considers the motion characteristics and the structural constraints. Through motion analysis and planning, a balance between environmental adaptability and versatility can be achieved. Simulations of comparisons and potential applications further demonstrate the significant advantages of MSR in space exploration.

Indexed as

modular robotmotion analysispath planningsnake-like motionspace exploration

Identifiers

PMID40422122
PMCPMC12109486

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.