Compliant actuators that mimic biological muscle performance with applications in a highly biomimetic robotic arm

This paper endeavours to bridge the existing gap in muscular actuator design for ligament-skeletal-inspired robots, thereby fostering the evolution of these robotic systems. We introduce two novel compliant actuators, namely the Internal Torsion Spring Compliant Actuator (ICA) and the External Spring Compliant Actuator (ECA), and present a comparative analysis against the previously conceived Magnet Integrated Soft Actuator (MISA) through computational and experimental results. These actuators, employing a motor-tendon system, emulate biological muscle-like forms, enhancing artificial muscle technology. A robotic arm application inspired by the skeletal ligament system is presented. Experiments demonstrate satisfactory power in tasks like lifting dumbbells (peak power: 36W), playing table tennis (end-effector speed: 3.2 m/s), and door opening, without compromising biomimetic aesthetics. Compared to other linear stiffness serial elastic actuators (SEAs), ECA and ICA exhibit high power-to-volume (361 × 10 3 W/m 3 ) and power-to-mass (111.6 W/kg) ratios respectively, endorsing the biomimetic design’s promise in robotic development. • Proposes three compliant actuators, i.e. ICA, ECA, and MISA that can mimic biological muscle performance. • Robotic arm developed based on these actuators excels in real-world daily activities. • High power-to-volume and power-to-mass ratios boost robotic performance.

Authors

Institutions

Publication Details

Journal
Advanced bionics.
Published
2024-12-11
DOI
https://doi.org/10.1016/j.abs.2024.12.001
Citations
6
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
1.11

Funders

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

Compliant actuators that mimic biological muscle performance with applications in a highly biomimetic robotic arm

Lei Ren, Darwin G. Caldwell, Haosen Yang, Guowu Wei et al.
6 citations
Advanced bionics.
Prosthetics and Rehabilitation Robotics
1.11
article

Compliant actuators that mimic biological muscle performance with applications in a highly biomimetic robotic arm

Lei Ren, Darwin G. Caldwell, Haosen Yang, Guowu Wei, Lingyun Yan
article en
6 citations

Abstract

This paper endeavours to bridge the existing gap in muscular actuator design for ligament-skeletal-inspired robots, thereby fostering the evolution of these robotic systems. We introduce two novel compliant actuators, namely the Internal Torsion Spring Compliant Actuator (ICA) and the External Spring Compliant Actuator (ECA), and present a comparative analysis against the previously conceived Magnet Integrated Soft Actuator (MISA) through computational and experimental results. These actuators, employing a motor-tendon system, emulate biological muscle-like forms, enhancing artificial muscle technology. A robotic arm application inspired by the skeletal ligament system is presented. Experiments demonstrate satisfactory power in tasks like lifting dumbbells (peak power: 36W), playing table tennis (end-effector speed: 3.2 m/s), and door opening, without compromising biomimetic aesthetics. Compared to other linear stiffness serial elastic actuators (SEAs), ECA and ICA exhibit high power-to-volume (361 × 10 3 W/m 3 ) and power-to-mass (111.6 W/kg) ratios respectively, endorsing the biomimetic design’s promise in robotic development. • Proposes three compliant actuators, i.e. ICA, ECA, and MISA that can mimic biological muscle performance. • Robotic arm developed based on these actuators excels in real-world daily activities. • High power-to-volume and power-to-mass ratios boost robotic performance.

Advanced bionics.Vol. 1(1)
Jilin University (CN), University of Manchester (GB), Italian Institute of Technology (IT), University of Salford (GB), Shanghai Institute of Technology (CN)
National Natural Science Foundation of China, Research England
Affordable and clean energy
Openalex Percentile: Top 24%
Prosthetics and Rehabilitation Robotics
1.11
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.