Tortoise-Inspired Magnetically Actuated Soft Robot Enabled by Segmented Legs with Programmable Bending

Inspired by the natural curvature and jointed configuration of tortoise limbs, this paper presents a magnetically controlled soft robot based on a “programmable intrinsic curvature” design paradigm. When corrugated flexural notches are introduced into a single-material elastomeric leg, localized stress concentration enables each leg to acquire a predefined curved shape during fabrication. Combined with corrugated-straw-based sacrificial molding and magnetic-field-assisted curing, the strategy allows independent tuning of bending angle and leg length. Four legs are radially integrated onto a soft torso. Experimental results show that the stepping–pushing asymmetry of a single leg is governed by the predefined curvature, with the snap-through state corresponding to the equilibrium between magnetic attraction and paramagnetic deflection. The robot achieves speeds of 1.1 mm/s on dry ground, 9.5 mm/s in semi-submerged water, and 56 mm/s in fully submerged water (at 0.8 Hz, 340 mT), a ~50-fold increase in swimming speed compared with its terrestrial locomotion speed. It also demonstrates sharp turning, payload transport, rough surface traversal, and self-righting. This work elevates intrinsic curvature from passive geometry to an active design variable for soft robots in complex multi-environment scenarios.

Authors

Institutions

Publication Details

Journal
Biomimetics
Published
2026-08-27
DOI
https://doi.org/10.3390/biomimetics11090608
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Tortoise-Inspired Magnetically Actuated Soft Robot Enabled by Segmented Legs with Programmable Bending

Han Ming Huang, Nanhao Zhou
Biomimetics
Soft Robotics and Applications
article

Tortoise-Inspired Magnetically Actuated Soft Robot Enabled by Segmented Legs with Programmable Bending

Han Ming Huang, Nanhao Zhou
article en

Abstract

Inspired by the natural curvature and jointed configuration of tortoise limbs, this paper presents a magnetically controlled soft robot based on a “programmable intrinsic curvature” design paradigm. When corrugated flexural notches are introduced into a single-material elastomeric leg, localized stress concentration enables each leg to acquire a predefined curved shape during fabrication. Combined with corrugated-straw-based sacrificial molding and magnetic-field-assisted curing, the strategy allows independent tuning of bending angle and leg length. Four legs are radially integrated onto a soft torso. Experimental results show that the stepping–pushing asymmetry of a single leg is governed by the predefined curvature, with the snap-through state corresponding to the equilibrium between magnetic attraction and paramagnetic deflection. The robot achieves speeds of 1.1 mm/s on dry ground, 9.5 mm/s in semi-submerged water, and 56 mm/s in fully submerged water (at 0.8 Hz, 340 mT), a ~50-fold increase in swimming speed compared with its terrestrial locomotion speed. It also demonstrates sharp turning, payload transport, rough surface traversal, and self-righting. This work elevates intrinsic curvature from passive geometry to an active design variable for soft robots in complex multi-environment scenarios.

BiomimeticsVol. 11(9)
Central South University (CN), Nanjing University of Information Science and Technology (CN), Nanjing University of Science and Technology (CN)
Central South University, Natural Science Foundation of Jiangsu Province, Jiangsu Provincial Department of Education
Life below water
Openalex Percentile: Top 19%
Soft Robotics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.