Advancements in parallel actuation: modeling, design, and applications

Parallel actuation is both a solution and a challenge. Compared to serially actuated systems, it offers significant advantages in speed, accuracy, and efficiency. These improvements arise from transmitting motion through multiple mechanical branches simultaneously. However, this same characteristic also introduces new challenges at two distinct levels. First, the usable work-space is often significantly reduced, leading to designs that are highly task-specific. Second, the complexity of modeling increases, which has historically hindered the widespread adoption of optimal control algorithms compared to serial architectures. Furthermore, modern demands for increased robot compliance — to enhance adaptability, energy efficiency, and safety — stand in contrast to the inherently rigid nature of traditional parallel robots. This work addresses these challenges through various approaches. In the first part, belt-driven designs that lie at the intersection of serial and parallel architectures are explored. It is demonstrated that such systems enable high-speed movements within large work-spaces, thereby applying trajectory optimization methods. Additionally, the possibility to extend the usable work-space of parallel kinematic machines is exemplified. The second part focuses on compliant parallel actuation, showing that stiffness control can be achieved with a minimal number of actuators. It also introduces a novel concept combining soft-shell actuation with parallel linkages. The third part investigates various dynamic modeling techniques for parallel kinematic machines and provides a comparative analysis of their suitability for trajectory optimization.

Publication Details

Journal
Media (https://www.suub.uni-bremen.de/)
Published
2025-08-27
DOI
https://doi.org/10.26092/elib/4501
Primary Topic
Canadian Policy and Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancements in parallel actuation: modeling, design, and applications

Media (https://www.suub.uni-bremen.de/)
Canadian Policy and Governance
article

Advancements in parallel actuation: modeling, design, and applications

article en

Abstract

Parallel actuation is both a solution and a challenge. Compared to serially actuated systems, it offers significant advantages in speed, accuracy, and efficiency. These improvements arise from transmitting motion through multiple mechanical branches simultaneously. However, this same characteristic also introduces new challenges at two distinct levels. First, the usable work-space is often significantly reduced, leading to designs that are highly task-specific. Second, the complexity of modeling increases, which has historically hindered the widespread adoption of optimal control algorithms compared to serial architectures. Furthermore, modern demands for increased robot compliance — to enhance adaptability, energy efficiency, and safety — stand in contrast to the inherently rigid nature of traditional parallel robots. This work addresses these challenges through various approaches. In the first part, belt-driven designs that lie at the intersection of serial and parallel architectures are explored. It is demonstrated that such systems enable high-speed movements within large work-spaces, thereby applying trajectory optimization methods. Additionally, the possibility to extend the usable work-space of parallel kinematic machines is exemplified. The second part focuses on compliant parallel actuation, showing that stiffness control can be achieved with a minimal number of actuators. It also introduces a novel concept combining soft-shell actuation with parallel linkages. The third part investigates various dynamic modeling techniques for parallel kinematic machines and provides a comparative analysis of their suitability for trajectory optimization.

Media (https://www.suub.uni-bremen.de/)
Affordable and clean energy
Openalex Percentile: Top 40%
Canadian Policy and Governance
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.