Evidence map›Paper›PMID 42259923›Full record

ArticleScientific reports2026

SPINDER: an open-source 18-DoF hexapod robot with hierarchical central pattern generator control and analytic inverse kinematics.

Abderraouf Maoudj, Azhar Aulia Saputra, Brahim Brahmi, Mourad Nouioua

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Abderraouf MaoudjInterdisciplinary Research Center for Intelligent Manufacturing and Robotics (IRC-IMR), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, 31261, Saudi Arabia. abderraouf.maoudj@kfupm.edu.sa.
Azhar Aulia SaputraGraduate School of Systems Informatics, Kobe University, Kobe, Japan.
Brahim BrahmiInterdisciplinary Research Center for Intelligent Manufacturing and Robotics (IRC-IMR), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, 31261, Saudi Arabia.
Mourad NouiouaInterdisciplinary Research Center for Intelligent Manufacturing and Robotics (IRC-IMR), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, 31261, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents SPINDER, a compact 18-DoF hexapod robot designed for reproducible bio-inspired locomotion research. The platform integrates a time-of-flight depth camera, six-axis inertial measurement unit, and per-foot contact switches, with computation split between an ARM-based single-board computer and a real-time microcontroller driving Dynamixel actuators. We derive a closed-form inverse kinematics solver for the yaw-pitch-pitch leg configuration that enforces workspace feasibility and handles kinematic singularities, achieving real time computations per leg. The locomotion controller combines a coupled-oscillator central pattern generator for inter-leg coordination with local motion controllers that regulate torso motion and generate cycloid-based swing trajectories with stance compensation, before mapping foot targets to joint commands via analytic IK. Hardware experiments demonstrate stable tripod, ripple, and wave locomotion, including omnidirectional commands, smooth online gait transitions that settle within approximately two gait cycles, and successful traversal of structured uneven terrain (height variations up to 18 mm) with 100% completion rate and mean body-pitch deviation below 5[Formula: see text]. All mechanical designs, kinematic models, and control software will be released to support replication and extension.

Indexed as

Bio-inspired roboticsCentral pattern generatorHexapod robotInverse kinematicsLegged locomotionSim-to-real transfer

Identifiers

PMID42259923
PMCPMC13490506

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LicenceCC BY-NC-ND
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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.