A Pressure-Amplifying Monopropellant Engine for Actuator-Localized Pneumatic Power

Despite its various potential uses, untethered pneumatics have little practical use due to the speed, power, and controllability limitations of power systems, and system-design restrictions (dead volume contained in pneumatic circuits and hardware needed to handle high actuator pressures). In this work, we present a compact monopropellant engine that localizes pressure generation to actuators. Our approach minimizes dead volume by eliminating pneumatic circuitry and allows high-pressure actuation from a low-pressure fuel source. We introduce the architecture, present a hardware implementation, and prove our pressure-amplification working principle experimentally. We also experimentally demonstrate fast response time (<30ms), high-pressure capability (>100kPa), high flow rate capacity 140 SLM/kg), and the ability to control the rate of gas output and volume of produced gas. Finally, we interface the engine with two distinct soft actuators to demonstrate its plug-and-play ease of use, operating at both high speeds and high pressures, and estimating a promising power output range (~5-25W/kg). With this design, we hope to move closer towards self-contained pneumatic muscles that interface with low-pressure embodied energy storage, which may increase the viability of pneumatic actuation for untethered robotic applications.

Authors

Institutions

Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/robosoft63089.2025.11020950
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Pressure-Amplifying Monopropellant Engine for Actuator-Localized Pneumatic Power

Ellen T. Roche, Johannes T. B. Overvelde, Samuel Dutra Gollob, Kaitlyn P. Becker et al.
Soft Robotics and Applications
article

A Pressure-Amplifying Monopropellant Engine for Actuator-Localized Pneumatic Power

Ellen T. Roche, Johannes T. B. Overvelde, Samuel Dutra Gollob, Kaitlyn P. Becker, Matthew M. Fernandez, Alberto Comoretto, Qifan Yu, Korebami Adebajo
article en

Abstract

Despite its various potential uses, untethered pneumatics have little practical use due to the speed, power, and controllability limitations of power systems, and system-design restrictions (dead volume contained in pneumatic circuits and hardware needed to handle high actuator pressures). In this work, we present a compact monopropellant engine that localizes pressure generation to actuators. Our approach minimizes dead volume by eliminating pneumatic circuitry and allows high-pressure actuation from a low-pressure fuel source. We introduce the architecture, present a hardware implementation, and prove our pressure-amplification working principle experimentally. We also experimentally demonstrate fast response time (<30ms), high-pressure capability (>100kPa), high flow rate capacity 140 SLM/kg), and the ability to control the rate of gas output and volume of produced gas. Finally, we interface the engine with two distinct soft actuators to demonstrate its plug-and-play ease of use, operating at both high speeds and high pressures, and estimating a promising power output range (~5-25W/kg). With this design, we hope to move closer towards self-contained pneumatic muscles that interface with low-pressure embodied energy storage, which may increase the viability of pneumatic actuation for untethered robotic applications.

Institute for Atomic and Molecular Physics (NL), Massachusetts Institute of Technology (US)
Affordable and clean energy
Openalex Percentile: Top 88%
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.