A handling robot that mimics ant crawling in biomimicry

In order to improve the robot’s motion stability and handling ability in complex terrain, a bionic handling robot imitating the crawling of ants is designed. The study is based on the ant’s locomotion mechanism, and by analyzing its gait and handling behavior, an optimized design of the hexapod robot’s mechanical structure and drive system is proposed. The control system adopts a layered architecture and integrates multi-sensor data fusion technology to achieve gait planning, balance control, and path planning functions. The prototype test shows that the robot can maintain stable operation in different terrain environments, with a gait error of less than 5%, and complete the handling task under a load of 800 g, with good terrain adaptability and load capacity. The performance evaluation shows that the energy consumption is well balanced with the task efficiency, and the design scheme is highly reliable in motion control and practical applications. The study provides a new technical path for intelligent handling tasks in complex environments and lays the foundation for subsequent optimization work.

Authors

Institutions

Publication Details

Journal
Molecular & cellular biomechanics
Published
2025-03-13
DOI
https://doi.org/10.62617/mcb1358
Primary Topic
Insect and Arachnid Ecology and Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A handling robot that mimics ant crawling in biomimicry

Qun Yang
Molecular & cellular biomechanics
Insect and Arachnid Ecology and Behavior
article

A handling robot that mimics ant crawling in biomimicry

Qun Yang
article en

Abstract

In order to improve the robot’s motion stability and handling ability in complex terrain, a bionic handling robot imitating the crawling of ants is designed. The study is based on the ant’s locomotion mechanism, and by analyzing its gait and handling behavior, an optimized design of the hexapod robot’s mechanical structure and drive system is proposed. The control system adopts a layered architecture and integrates multi-sensor data fusion technology to achieve gait planning, balance control, and path planning functions. The prototype test shows that the robot can maintain stable operation in different terrain environments, with a gait error of less than 5%, and complete the handling task under a load of 800 g, with good terrain adaptability and load capacity. The performance evaluation shows that the energy consumption is well balanced with the task efficiency, and the design scheme is highly reliable in motion control and practical applications. The study provides a new technical path for intelligent handling tasks in complex environments and lays the foundation for subsequent optimization work.

Molecular & cellular biomechanicsVol. 22(4)
Wuhu Institute of Technology (CN)
Openalex Percentile: Top 94%
Insect and Arachnid Ecology and Behavior
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.