Evidence map›Paper›PMID 38005494›Full record

ArticleSensors (Basel, Switzerland)2023

A Pre-Grasping Motion Planning Method Based on Improved Artificial Potential Field for Continuum Robots.

Lihua Wang, Zezhou Sun, Yaobing Wang, Jie Wang, Zhijun Zhao, Chengxu Yang, Chuliang Yan

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Lihua WangSchool of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China.
Zezhou SunBeijing Institute of Spacecraft System Engineering, Beijing 100094, China.
Yaobing WangBeijing Institute of Spacecraft System Engineering, Beijing 100094, China.
Jie WangBeijing Institute of Spacecraft System Engineering, Beijing 100094, China.
Zhijun ZhaoBeijing Institute of Spacecraft System Engineering, Beijing 100094, China.
Chengxu YangBeijing Institute of Spacecraft System Engineering, Beijing 100094, China.
Chuliang YanSchool of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China.

Funding

National Natural Science Foundation of China U22B2080
6 · The paper itself

Abstract

Secure and reliable active debris removal methods are crucial for maintaining the stability of the space environment. Continuum robots, with their hyper-redundant degrees of freedom, offer the ability to capture targets of varying sizes and shapes through whole-arm grasping, making them well-suited for active debris removal missions. This paper proposes a pre-grasping motion planning method for continuum robots based on an improved artificial potential field to restrict the movement area of the grasping target and prevent its escape during the pre-grasping phase. The analysis of the grasping workspace ensures that the target is within the workspace when starting the pre-grasping motion planning by dividing the continuum robot into delivery and grasping segments. An improved artificial potential field is proposed to guide the continuum robot in surrounding the target and creating a grasping area. Specifically, the improved artificial potential field consists of a spatial rotating potential field, an attractive potential field incorporating position and posture potential fields, and a repulsive potential field. The simulation results demonstrate the effectiveness of the proposed method. A comparison of motion planning results between methods that disregard and consider the posture potential field shows that the inclusion of the posture potential field improves the performance of pre-grasping motion planning for spatial targets, achieving a success rate of up to 97.8%.

Indexed as

active debris removalartificial potential fieldcontinuum robotspre-grasping motion planningwhole-arm grasping

Identifiers

PMID38005494
PMCPMC10674240

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.