Evidence map›Paper›PMID 36992048›Full record

ArticleSensors (Basel, Switzerland)2023

Autonomous Planning of Discontinuous Terrain-Dependent Crawling for Space Dobby Robots.

Jiabo Jiang, Cheng Wei, Yunfeng Yu, Shengxin Sun

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

4 authors.

Jiabo JiangSchool of Astronautics, Harbin Institute of Technology, Harbin 150001, China.
Cheng WeiSchool of Astronautics, Harbin Institute of Technology, Harbin 150001, China.
Yunfeng YuAerospace System Engineering Shanghai, Shanghai 200000, China.ORCID 0000-0002-0992-4694
Shengxin SunSchool of Astronautics, Harbin Institute of Technology, Harbin 150001, China.

Funding

National Defense Key Laboratory of Space Intelligent Control Technology HTKJ2022KL502003
6 · The paper itself

Abstract

Complex space missions require more space robotic extravehicular operations required to crawl on spacecraft surfaces with discontinuous features at the graspable point, greatly increasing the difficulty of space robot motion manipulation. Therefore, this paper proposes an autonomous planning method for space dobby robots based on dynamic potential fields. This method can realize the autonomous crawling of space dobby robots in discontinuous environments while considering the task objectives and the self-collision problem of robotic arms when crawling. In this method, a hybrid event-time trigger with event triggering as the main trigger is proposed by combining the working characteristics of space dobby robots and improving the gait timing trigger; the dynamic potential field function is designed to adjust the space robot robotic arm grasping point adaptively according to the space robot state. Simulation results verify the effectiveness of the proposed autonomous planning method.

Indexed as

artificial potential field methodautonomous planningdiscontinuous terrain environmentspace dobby robot

Identifiers

PMID36992048
PMCPMC10058584

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.