Evidence map›Paper›PMID 36810390›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Bionic Path Planning Fusing Episodic Memory Based on RatSLAM.

Shumei Yu, Haidong Xu, Chong Wu, Xin Jiang, Rongchuan Sun, Lining Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomimetics (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

6 authors.

Shumei YuSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, China.
Haidong XuSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, China.
Chong WuSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, China.
Xin JiangSchool of Mechanical Engineering and Automation, Harbin Institute of Technology Shenzhen, Shenzhen 518055, China.ORCID 0000-0003-3030-2694
Rongchuan SunSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, China.ORCID 0000-0002-0890-9097
Lining SunSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, China.

Funding

the Joint Fund of Science & Technology Department of Liaoning Province and State Key Laboratory of Robotics of China 2020-KF-22-13the National Natural Science Foundation of China 61673288、U1813202
6 · The paper itself

Abstract

Inspired by rodents' ability to navigate freely in a given space, bionavigation systems provide alternatives to traditional probabilistic solutions. This paper proposed a bionic path planning method based on RatSLAM to provide a novel viewpoint for robots to make a more flexible and intelligent navigation scheme. A neural network fusing historic episodic memory was proposed to improve the connectivity of the episodic cognitive map. It is biomimetically important to generate an episodic cognitive map and establish a one-to-one correspondence between the events generated by episodic memory and the visual template of RatSLAM. The episodic cognitive map can be improved by imitating the rodents' behavior of memory fusion to produce better path planning results. The experimental results of different scenarios illustrate that the proposed method identified the connectivity between way points, optimized the result of path planning, and improved the flexibility of the system.

Indexed as

bionic path planningconnectivity networksepisodic cognitive mapRatSLAM

Identifiers

PMID36810390
PMCPMC9944839

What OpenQuestion holds

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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.