Evidence map›Paper›PMID 39837486›Full record

ArticleJournal of the Royal Society, Interface2025

I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.

Xuelong Sun, Michael Mangan, Jigen Peng, Shigang Yue

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. 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

4 authors.

Xuelong SunMachine Life and Intelligence Research Center, Guangzhou University, Guangzhou, People's Republic of China.ORCID 0000-0001-9035-5523
Michael ManganDepartment of Computer Science, Sheffield Robotics, University of Sheffield, Sheffield, UK.ORCID 0000-0002-0293-8874
Jigen PengMachine Life and Intelligence Research Center, Guangzhou University, Guangzhou, People's Republic of China.
Shigang YueSchool of Computing and Mathematical Sciences, University of Leicester, Leicester, UK.

Funding

Engineering and Physical Sciences Research CouncilKey ProgrammeNational Natural Science Foundation of China
6 · The paper itself

Abstract

Achieving a comprehensive understanding of animal intelligence demands an integrative approach that acknowledges the interplay between an organism's brain, body and environment. Insects, despite their limited computational resources, demonstrate remarkable abilities in navigation. Existing computational models often fall short in faithfully replicating the morphology of real insects and their interactions with the environment, hindering validation and practical application in robotics. To address these gaps, we present I2Bot, a novel simulation tool based on the morphological characteristics of real insects. This tool empowers robotic models with dynamic sensory capabilities, realistic modelling of insect morphology, physical dynamics and sensory capacity. By integrating gait controllers and computational models into I2Bot, we have implemented classical embodied navigation behaviours and revealed some fundamental navigation principles. By open-sourcing I2Bot, we aim to accelerate the understanding of insect intelligence and foster advances in the development of autonomous robotic systems.

Indexed as

Computer SimulationInsectaModels, BiologicalRoboticsSoftwareSpatial NavigationAnimalsanimal intelligencebio-inspiredbioroboticsembodimentinsect locomotioninsect navigation

Identifiers

PMID39837486
PMCPMC11750368

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.