Evidence map›Paper›PMID 39007178›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Intelligent Rock-Climbing Robot Capable of Multimodal Locomotion and Hybrid Bioinspired Attachment.

Peijin Zi, Kun Xu, Jiawei Chen, Chang Wang, Tao Zhang, Yang Luo, Yaobin Tian, Li Wen, Xilun Ding

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Zoborg: On-Demand Climbing Control for Cyborg Beetles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. 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

9 authors.

Peijin ZiSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.ORCID 0000-0001-9537-4731
Kun XuSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
Jiawei ChenSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
Chang WangSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
Tao ZhangSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
Yang LuoSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
Yaobin TianSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
Li WenSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
Xilun DingSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.ORCID 0000-0002-9752-3937

Funding

National Key R&D Program of China 2019YFB1309600National Natural Science Foundation of China 52375003National Natural Science Foundation of China T2121003
6 · The paper itself

Abstract

Rock-climbing robots have significant potential in fieldwork and planetary exploration. However, they currently face limitations such as a lack of stability and adaptability on extreme terrains, slow locomotion, and single functionality. This study introduces a novel multimodal and adaptive rock-climbing robot (MARCBot), which addresses these limitations through spiny grippers that draw inspiration from morpho-functionalities observed in beetles, arboreal birds, and hoofed animals. This hybrid bioinspired design enables high attachment strength, passive adaptability to different terrains, and quick attachment on rock surfaces. The multimodal functionality of the gripper allows for attachment during climbing and support during walking. A novel control strategy using dynamics and quadratic programming (QP) optimizes attachment wrench distribution, reducing cost-of-transport by 20.03% and 6.05% compared to closed-loop inverse kinematic (CLIK) and virtual model control (VMC) methods, respectively. MARCBot achieved climbing speeds of 0.15 m min

Indexed as

LocomotionRoboticsAnimalsBiomechanical PhenomenaBiomimeticsEquipment Designbioinspired adhesionbioinspired robotsbiomimeticsclimbing robotsrobotics

Identifiers

PMID39007178
PMCPMC11497113

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.